University of Groningen Quantitative cardiac dual source CT; from morphology to function Assen, van, Marly

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University of Groningen

Quantitative cardiac dual source CT; from morphology to function

Assen, van, Marly

DOI:

10.33612/diss.93012859

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.

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Publication date: 2019

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

Assen, van, M. (2019). Quantitative cardiac dual source CT; from morphology to function. Rijksuniversiteit Groningen. https://doi.org/10.33612/diss.93012859

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PART VI

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ACKNOWLEDGEMENTS

The completion of this thesis could not have been possible without the participation and support of so many people whose names may not all be enumerated. Their contributions are sincerely appreciated and gratefully acknowledged. However, I would like to take this opportunity to express my gratitude to several people in particular. I wish to express my sincere gratitude to my first promotor, Prof. Oudkerk, first of all for providing me with the opportunity to do my PhD project at the University of Groningen and secondly for the supervision during this time. Thank you for always reminding me of the bigger picture but also for the opportunity to widen my research from various perspectives.

Dear Prof. Vliegenthart, Rozemarijn, thank you for all your support in the last years and for being the connecting factor between the UMCG and MUSC. Your scientific insight and critical eye has been invaluable and made me appreciate the fine art of diligent research.

Dear Prof. Schoepf, Joe, thank you for the opportunity to be part of your MUSC team. Charleston definitely conquered a place in a my heart and being a part of your team played a big role in that. Your expertise in cardiac imaging and extensive connections made this PhD possible.

Besides my advisors, I would like to thank my promotion committee: Prof. Leiner, Prof. Lamb, and Prof. Verkerke, for taking the time to read this thesis. Over the years our paths have crossed several times, mostly under the very pleasant circumstances Curacao has to offer.

A special thanks to all co-authors, from all corners of the world, for contributing to the research described in this thesis. I would like to thank all of you for your collaboration and the valuable feedback.

Dear Dr. Kuijpers, Dirkjan, although this thesis focuses on CT imaging only, throughout my PhD, we collaborated on several MRI projects. I would like to thank you for teaching me all about MRI perfusion and T1 mapping and for your clinical point of view.

I had the privilege to work at two great institutes that brought me, besides my supervisors, several people who greatly influenced me as a person and as a researcher and definitely left their mark on this thesis.

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Dear Dr. De Cecco, Carlo, in my journey towards this degree, I have found a teacher, a friend, and the next step in my career in you. Thank you for the support you gave during my time at MUSC, the opportunities you gave me during my entire PhD period and for teaching me some fine Italian (food) culture. Carlo, eating pasta will never be the same after meeting you.

Dear Dr. Varga-Szemes, Akos, although this thesis is mainly focused on CT , your knowledge about MRI and research in general has been a big inspiration. You are the only researcher who was there during my entire time at MUSC. I feel blessed to call you not only a colleague but also a friend and hope that our paths will continue to cross in the future, whether that is at a fancy dinner or with lemon cake and chocolate smoothies at Starbucks.

Doing a PhD at two institutes in two countries involving two trans-Atlantic moves, made the number of colleagues I have seen come and go and come again rather large. I feel privileged to work with so many people from so many countries, cultures and backgrounds.

While supervision, discussion and inspiration have all been important for the materialization of this thesis, some people have directly contributed to the hard labor of this thesis. I especially want to thank the research coordinators from the MUSC team for all the work they put in spitting through patient records, collecting data and linguistic revisions. Of course not everything was work related, I also want to thank you for getting me acquainted with real American culture; barbecuing will never be the same without you guys. Taylor, Brian, Virginia, Parkwood, Dante and Todd, thank you for all the work you put in, you guys are truly invaluable.

Another research coordinator that deserves a special thanks, is Stella Noach. The mom of our Dutch research department and always there with wise words and advise. Stella, we shared many lunches, tea breaks, walks around the hospital, complain hours, car rides to the ‘real’ Holland and fun times together. Even when I was 6.941 kilometers away, you always had time for a call, thank you for that.

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I would like to thank all my G2 colleagues, from my first and second stay at the UMCG, for all the ‘gezelligheid’, dinners, drinks (especially the ‘one last drink’), discussions, coffee breaks and all other activities. Dear Wout, Gert Jan, Marleen, Merel, Randy, Aniek, Rik, Daan en Daan, Mieneke, Moniek en Monique, Miriam, Dawei, Pandji, Hildebrand, Ludo, Jiapan, Grigori, Congying, Runlei, Xiaonan, Sunyi, Ricardo, Bingjiang, Yeshu and Xueping, thank you. A special thanks goes to Wout, Gert Jan, Marleen (best conference roommate ever), Merel and Randy for making my integration in Groningen (which sometimes felt like another country too) and the field of radiology so successful and for all the fun times in Groningen and at conferences.

Two years of my PhD were spend in the sunny city of Charleston. I would like to thank all my MUSC colleagues for helping me get the most out of my Southern US adventure. Thank you, Moritz, Marwen, Philipp, Chris, Georg, Jay, Rich, Duccio, Mimmo , Marco, Max, Francesco, Simon (and of course Delina), Andres, Vincenzo and Dee. The many dinners, Starbucks breaks, movie nights, BBQs, oyster roasts, parties, pre-gaming nights, beach days, conferences, football games in Clemson and other road trips made my time at MUSC fly by. Needless to say that all of your efforts put into my research are also greatly appreciated. You all really made me feel like one of the guys. Although I only spent two years in Charleston, you made sure this period will forever be remembered fondly and I hope we can have many future meetings and collaborations. A special thanks goes to Marwen and Philipp, for not only being great colleagues, but also for being amazing friends. There are so many memories with you guys that I cherish, thank you for always being there for me, and bringing some humor in my life when I lost mine.

Many projects of this thesis would not have been possible without the support of Siemens. Pooyan, thank you for sharing your expertise, time, lovely wife and house, cooking skills and Iranian hospitality and culture with me.

All my friends, from whichever country they are from, thank you for helping me also have a social life these last years. Even though sometimes there was an ocean between, you were always there to talk, listen, share stories and make memories. When sometimes it felt that everything I was doing was work related, you brought some perspective and much needed non-work related activities. I ‘m really thankful for all of our dinners, festivals, trips and chill and cinema days. For all my American friends and (semi) American roommates, thank you for showing me some true American hospitality and culture. I will never forget all the fun times and all my American firsts; Riverfloats, boat trips, American football games, chicken and waffles, fried everything and of course bacon. I will be forever grateful for bringing these in my life and hope we can share

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My dear paranimfen, I’m very happy that I can share these special moments with you. Carleen, we’ve met when I was a first year student in Enschede. Since then we’ve created many shared memories and hopefully there are still many to come.

Brent, my big brother, so different in so many ways and the same in so many others. You always make me laugh, thought me how to bring back videos, lose fights and acted like a real big brother. In so many ways you are a real inspiration! I feel privileged to have a brother like you by my side today.

I want to thank my family, my parents, my brother and my grandmother for supporting every decision I make, even it takes me to another continent. You are always there for me, even if that means to travelling to the US or being on the phone at unruly hours. All the people above contributed to this thesis one way or another, but without you this would not have been possible, therefore I would like to dedicate this thesis to you.

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AUTHOR AFFILIATIONS

Subhi J. Al’Aref MD

Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, NY, United States of America

Maximilian Bauer BSc

Ludwig-Maximilians University Munich, Faculty of Medicine, Munich, Germany Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Richard R. Bayer MD

Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, United States of America

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Andrew J. Buckler MSc

Elucid Bioimaging Inc., Wenham, MA, United States of America Serkan Cimen MSc, PhD

Medical Imaging Technologies, Siemens Medical Solutions USA, Princeton, NJ, United States of America

Carlo N. De Cecco MD, PhD

Department of Radiology, Emory University, Atlanta, GA, United States of America Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Yeonhyeon Choe MD, PhD

Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

Virginie Do

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Taylor M. Duguay, BSc

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Aeshita Dwivedi MD

Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, United States of America

Svetlana Egorova MD, PhD

Elucid Bioimaging Inc., Wenham, M, United States of America Marwen H. Eid MD

Department of Internal Medicine, Northwell Health- Staten Island University Hospital, Staten Island, NY, United States of America

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Andreas M. Fischer MD

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Parkwood L. Griffith BSc

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Mehmet A. Gulsun MSc, PhD

Medical Imaging Technologies, Siemens Medical Solutions USA, Princeton, NJ, United States of

America

Manasa Gummalla MS

H. Todd Hudson Jr. MSc

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America

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Brian E. Jacobs BSc

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Addison Johnson BSc

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Kjell Johnson MSc, PhD

Stat Tenacity, Ann Arbor, MI, United States of America Timothy S. Kim MSc, PhD

Kranthi K. Kolli MSc, PhD

Philipp L. von Knebel Doeberitz MD

Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim Medical Faculty Mannheim-Heidelberg University, Mannheim, Germany Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Francesco Lavra MD

Department of Radiology, Azienda Ospedaliero Universitaria, Cagliari, Italy

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Sheldon E. Litwin MD

Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, United States of America

Gladys G. Lo MD

Department of Diagnostic and Interventional Radiology, Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong, China

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Gabriel Maliakal MSc

Simon S. Martin MD

Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Domenico Mastrodicasa MD

Department of Radiology, Stanford University School of Medicine, Stanford, CA, United States of America

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America James K. Min MD

John W. Nance MD

Department of Radiology, Houston Radiology Associated, Houston, TX, United States of America

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Matthijs Oudkerk MD PhD

University of Groningen, Faculty of Medical Sciences, Groningen, the Netherlands Mohit Pandey MSc

Gert Jan Pelgrim MSc PhD

University Medical Center Groningen, Department of Radiology, Groningen, The Netherlands

authoraffiliations

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Saikiran Rapaka MSc PhD

Medical Imaging Technologies, Siemens Medical Solutions USA, Princeton, NJ, United States of America

Alexander van Rosendael MD PhD

Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, United States of America

Balazs Ruzsics MD PhD

Department of Cardiology, Royal Liverpool and Broadgreen University Hospital, Liverpool, United Kingdom

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Pooyan Sahbaee MSc PhD

Siemens Medical Solutions, Malvern, PA, United States of America Rock Savage BSc

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Marco Scarabello MD

Department of Radiology, University of Milan, Milan, Italy

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America U. Joseph Schoepf MD

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Chris Schwemmer MSc PhD

Siemens Healthineers AG, Erlangen, Germany Puneet Sharma MSc PhD

Medical Imaging Technologies, Siemens Medical Solutions USA, Princeton, NJ, United

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Emmy Slager MSc

University of Groningen, University Medical Center Groningen, Department of Radiology, Groningen, the Netherlands

Gurpreet Singh MSc, PhD

J. Marco A. Stijnen MSc, PhD

LifeTec Group, Eindhoven, the Netherlands Samantha St. Pierre BSc

Elucid Bioimaging Inc., Wenham, MA, United States of America Pal Suranyi MD PhD

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Christian Tesche MD

Department of Cardiology and Intensive Care Medicine, Heart Center Munich-Bogenhausen, Munich, Germany

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Zachary M. Thompson BSc

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Sjoerd van Tuijl MSc PhD

LifeTec Group, Eindhoven, the Netherlands Akos Varga- Szemes MD PhD

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Rozemarijn Vliegenthart MD PhD

University of Groningen, University Medical Center Groningen, Departments of Radiology, Groningen, the Netherlands

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Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Thomas J. Vogl MD

Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany

Jing Wang MSc PhD

Yining Wang MD

Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China

Baxter T. Williams BSc

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America Beatrice M. Zaki BSc

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States of America

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authoraffiliations

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PUBLICATIONS

Publications in peer reviewed journals

M.van Assen, A. Varga-Szemes, U.J. Schoepf, T.M. Duguay, H.T. Hudson, S. Egorova, K. Johnson, S. St. Pierre, B.M. Zaki, M.Oudkerk, R. Vliegenthart, A.J. Buckler:” Automated Plaque Analysis for the Prognostication of Major Adverse Cardiac Events”. European

Journal of Radiology (2019)

U.J. Schoepf, M. van Assen:” FFR-CT and CT Myocardial Perfusion Imaging: Friends or Foes?” JACC. Cardiovascular imaging (2019)

M. van Assen, F. Lavra, U.J. Schoepf, B.E. Jacobs, B.T. Williams, Z.M. Thompson, A.Varga-Szemes, B. Ruzsics, M. Oudkerk, R. Vliegenthart, C.N. De Cecco:” Iodine quantification based on rest/stress perfusion dual energy CT to differentiate ischemic, infarcted and normal myocardium”. European journal of radiology (2019), 112

M van Assen, GJ. Pelgrim, E. Slager, S. van Tuijl, U.J. Schoepf, R.Vliegenthart, M.Oudkerk:” Low CT temporal sampling rates result in a substantial underestimation of myocardial blood flow measurements”. The international journal of cardiovascular

imaging (2019), 35:3

M. van Assen, C.N. De Cecco, M.H. Eid, P.L. von Knebel Doeberitz, M. Scarabello, F.Lavra, M. J. Bauer, D. Mastrodicasa, T.M. Duguay, B.M. Zaki, G.G. Lo, Y. Choe, Y. Wang, P. Sahbaee, C. Tesche, M.Oudkerk, R. Vliegenthart, U.J. Schoepf:” Prognostic value of CT myocardial perfusion imaging and CT-derived fractional flow reserve for major adverse cardiac events in patients with coronary artery disease”. Journal of

cardiovascular computed tomography (2019)

M. van Assen, GJ. Pelgrim, C.N. De Cecco, J.M.A. Stijnen, B.M. Zaki, M. Oudkerk, R. Vliegenthart, U.J. Schoepf:” Intermodel disagreement of myocardial blood flow estimation from dynamic CT perfusion imaging”. European journal of radiology (2019),

110

M. van Assen, C.N. De Cecco, P. Sahbaee, M.H. Eid, L. P. Griffith, M.J. Bauer, R.H. Savage, A. Varga-Szemes, M. Oudkerk, R. Vliegenthart, U.J.Schoepf:” Feasibility of extracellular volume quantification using dual-energy CT”. Journal of cardiovascular

computed tomography (2019), 13:1 appendices

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M. van Assen, R. van Dijk, D. Kuijpers, R. Vliegenthart, M. Oudkerk:” T1 reactivity as an imaging biomarker in myocardial tissue characterization discriminating normal, ischemic and infarcted myocardium”. The International Journal of Cardiovascular

Imaging (2019)

P.L. von Knebel Doeberitz, C.N. De Cecco, U.J. Schoepf, T.M. Duguay, M.H. Albrecht, M. van Assen, M.J. Bauer, R.H. Savage, J.T. Pannell, D. De Santis, A.A. Johnson, A.Varga-Szemes, R.R. Bayer, S.O. Schönberg, J.W. Nance, C.Tesche:” Coronary CT angiography– derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia”. European Radiology (2019), 29:5

C.X. Tang, Y.N. Wang, F. Zhou, U.J. Schoepf, M. van Assen, R.E. Stroud, J.H. Li, X.L. Zhang, M.J. Lu, C.S. Zhou, D.M. Zhang, Y. Yi, J. Yan, G.M. Lu, L. Xu, L.J. Zhang:” Diagnostic Performance of Fractional Flow Reserve Derived from Coronary CT Angiography for Detection of Lesion-Specific Ischemia: A Multi-Center Study and Meta-Analysis”. European Journal of Radiology (2019)

C.N. De Cecco, P. Burchett, M. van Assen, J. Ravenel, S.L. Cooper, H.Li, M.L. Bradshaw, W.J. Rieter, U.J. Schoepf, L. Gordon:” Rationale and design of a prospective study on the first integrated PET/dual-energy CT system for staging and image-based radiation therapy planning of lung cancer”. European Radiology Experimental (2018), 2:1

P. Suranyi, G.A. Elgavish, U.J. Schoepf, B. Ruzsics, P. Kiss, M. van Assen, B.E. Jacobs, B.C. Brott, A.Elgavish, A. Varga-Szemes:” Myocardial tissue characterization by combining late gadolinium enhancement imaging and percent edema mapping: a novel T2 map-based MRI method in canine myocardial infarction”. European radiology experimental

(2018), 2:1

D. Mastrodicasa, M.H. Albrecht, U.J. Schoepf, A. Varga-Szemes, B.E. Jacobs, S. Gassenmaier, D. De Santis, M.H. Eid, M. van Assen, C.Tesche, C.Mantini, C.N. De Cecco:” Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFRML): Impact of iterative and filtered back projection reconstruction techniques”. Journal of cardiovascular computed tomography (2018)

S.S. Martin, M. van Assen, L.P. Griffith, C.N. De Cecco, A.Varga-Szemes, M.J. Bauer, J.L. Wichmann, T.J. Vogl, U.J.Schoepf:” Dual-Energy CT Pulmonary Angiography: Quantification of Disease Burden and Impact on Management”. Current Radiology

Reports (2018), 6:10

publications

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R. Wang, X. Liu, U.J. Schoepf, M. van Assen, I. Alimohamed, L.P. Griffith, T. Luo, Z. Sun, Z. Fan, L. Xu:” Extracellular volume quantitation using dual-energy CT in patients with heart failure: Comparison with 3T cardiac MR”. International journal of cardiology

(2018), 268

D. Mastrodicasa, G.A. Elgavish, U.Joseph Schoepf, P. Suranyi, M.van Assen, M.H. Albrecht, C.N. De Cecco, R.J. van der Geest, R. Hardy, C. Mantini, L.P. Griffith, B.Ruzsics, A.Varga-Szemes: “Nonbinary quantification technique accounting for myocardial infarct heterogeneity: Feasibility of applying percent infarct mapping in patients”. Journal of Magnetic Resonance Imaging (2018), 48:3

C. Tesche, T.M. Duguay, U.J. Schoepf, M. van Assen, C.N. De Cecco, M.H. Albrecht, A.Varga-Szemes, R.R. Bayer 2nd, U. Ebersberger, J.W. Nance, C. Thilo:” Current and future applications of CT coronary calcium assessment”. Expert Review of Cardiovascular

Therapy (2018), 16:6

M.H. Albrecht, C.N. De Cecco, U.J. Schoepf, A. Spandorfer, M. H. Eid, D. De Santis, A. Varga-Szemes, M. van Assen, P.L. von Knebel-Doeberitz, C. Tesche, V.O. Puntmann, E. Nagel, T.J. Vogl, J.W. Nance:” Dual-energy CT of the heart current and future status”.

European Journal of Radiology (2018) 105

G. Singh*, S. J.Al’Aref*, M.Van Assen, T.S.Kim, A. van Rosendael, K.K.Kolli, A.Dwivedi, G.Maliakal, M.Pandey, J.Wang, V. Do, M. Gummalla, C.N. De Cecco, J. K.Min:” Machine learning in cardiac CT: Basic concepts and contemporary data”. Journal of Cardiovascular

Computed Tomography (2018) 12:3

D. Kuijpers, R. van Dijk, M. van Assen, T.A.M. Kaandorp, P.R.M. van Dijkman, R. Vliegenthart, P. van der Harst, M. Oudkerk: “Disagreement between splenic switch-off and myocardial T1-mapping after caffeine intake”. The International Journal of

Cardiovascular Imaging (2018) 34: 625

R. van Dijk*, M. van Assen*, R.Vliegenthart, G.H. de Bock, P. van der Harst, M. Oudkerk:” Diagnostic performance of semi-quantitative and quantitative stress CMR perfusion analysis: a meta-analysis”. Journal of Cardiovascular Magnetic Resonance

(2017) 19:92

F. Lavra, C.N. De Cecco, A. Varga-Szemes, D. De Santis, M.H. Albrecht, V.W. Lesslie, M.van Assen, P. von Knebel Doeberitz, D. Mastrodicasa, M. Eid, G. Apfaltrer, S. Stalcup, R.R Bayer, L. Saba, U.J. Schoepf: ”New Imaging Techniques for Atherosclerotic Plaque

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GJ. Pelgrim, M. Das, S.van Tuijl, M. van Assen, F.W. Prinzen, M. Stijnen, M. Oudkerk, J.E. Wildberger, R. Vliegenthart: “Validation of myocardial perfusion quantification by dynamic CT in an ex-vivo porcine heart model”. The International Journal of

Cardiovascular Imaging (2017) 33: 1821.

Book chapters

M. van Assen, GJ.Pelgrim, R. Vliegenthart:” Dynamic Myocardial CT Perfusion Imaging”. CT of the Heart (2019)

M.H. Eid, J. V. Spearman, M. van Assen, D. De Santis, P. Sahbaee, S.P. Landreth, B.E. Jacobs, C.N. De Cecco:” Machine Learning and Artificial Intelligence in Cardiovascular Imaging”. CT of the Heart( 2019)

Invited Lectures

M. van Assen: “T1 Reactivity in Coronary Artery Disease”. The Netherlands Heart Days

2018, Willemstad, Curacao

M. van Assen: “Spectral Imaging; Clinical Applications”. The Netherlands Heart Days

2019, Willemstad, Curacao

M. van Assen:”Feasibility of coronary artery disease identification using artificial intelligence”. The Netherlands Heart Days 2019, Willemstad, Curacao

Conference abstracts

M. van Assen, C.N. De Cecco, M. Eid, M.J. Bauer, M. Scarabello, P. von Knebel Doeberitz, M. Oudkerk, R. Vliegenthart, U.J. Schoepf: “The prognostic value of CT myocardial perfusion and CT-FFR for MACE in patients with coronary artery disease”. European

Congress of Radiology, 2019, Vienna, Austria.

M. van Assen, C.N. De Cecco, S.S. Martin, A. Fischer, R. Steinbach, M. Oudkerk , R. Vliegenthart , U.J. Schoepf: “Relationship between coronary CT angiography-derived fractional flow reserve and dynamic CT myocardial perfusion imaging in patients with coronary artery disease”. European Congress of Radiology, 2019, Vienna, Austria. M. van Assen, C.N. De Cecco, P. Sahbaee, P. Griffith, M.J. Bauer, A. Varga-Szemes, M. Oudkerk, R. Vliegenthart, U.J. Schoepf: ”Feasibility of extracellular volume quantification using dual-energy CT”. European Congress of Radiology, 2019, Vienna,

Austria.

publications

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R.R. Bayer , M. van Assen, S.S. Martin , R.H. Savage , R. Steinbach , A.M. Fischer, L.P. Griffith , U.J. Schoepf: ”CT-FFR profiles in patients without coronary artery disease: the effect of location and lumen area”. European Congress of Radiology, 2019, Vienna,

Austria.

S.S. Martin , M. van Assen, A.M. Fischer, S. Rapaka, P. Sahbaee , C. Schwemmer, M.A. Gulsun, P. Sharma, U.J. Schoepf: ”Deep learning-based automated calcium scoring for cardiac computed tomography”. European Congress of Radiology, 2019, Vienna, Austria. S.S. Martin, M. van Assen, A.M. Fischer, C.N. De Cecco , M. Bauer, A. Varga-Szemes, D. Mastrodicasa, U.J. Schoepf: “ Value of fractional flow reserve computed from triple-ruleout CT angiography data in the emergency department”. European Congress of

Radiology, 2019, Vienna, Austria.

A. Varga-Szemes, M. Bauer, M. van Assen, C.N. De Cecco, P. Suranyi , L. Griffith , U.J. Schoepf: “Machine learning-based prediction of haematocrit values from native MRI myocardial T1-maps to avoid blood sampling for extracellular volume fraction analysis”.

European Congress of Radiology, 2019, Vienna, Austria.

M.J. Bauer, F. Lavra, M. Scarabello, M. van Assen, L. Saba, C.N. De Cecco, U.J. Schoepf: “Quantitative analysis of dynamic CTA for the detection of endoleaks after abdominal aorta aneurysm endovascular repair: a feasibility study”. European Congress of

Radiology, 2019, Vienna, Austria.

P. von Knebel Doeberitz , T. Pannell, M. van Assen, M.H. Albrecht, C.N. De Cecco , T. Duguay , R.R. Bayer , C. Tesche, U.J. Schoepf: “Coronary CT angiography derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion specific ischaemia”. European Congress of Radiology, 2019, Vienna, Austria. M. van Assen, P. Griffith, C. N. De Cecco, P. Sahbaee, M. Oudkerk, U. J. Schoepf, M. Eid, R. Vliegenthart, B. E. Jacobs, A. Varga-Szemes: “Feasibility of Myocardial Extracellular Volume Fraction Quantification Using Dual-Energy CT”. Radiological Society of North

America, 2018, Chicago, USA

M. van Assen, C. N. De Cecco, M. Eid, M. J. Bauer, M.Scarabello, U. J. Schoepf, F. Lavra, P. L. von Knebel Doeberitz, A. Varga-Szemes, D. Mastrodicasa, M. Oudkerk, R. Vliegenthart, T. M. Duguay: “CT Myocardial Perfusion Imaging and CT Angiography-Derived Coronary Fractional Flow Reserve for the Prediction of Major Adverse Cardiac Events in Patients with Coronary Artery Disease”. Radiological Society of North America,

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A. Varga-Szemes, M. van Assen (presenting author), . C. N. De Cecco, . P. Suranyi, P. Griffith, U. J. Schoepf, T. M. Duguay, B. E. Jacobs, M. J. Bauer: “Artificial Intelligence Machine Learning-based Prediction of Hematocrit Values from Native MRI Myocardial T1-maps to Avoid Blood Sampling for Extracellular Volume Fraction Analysis”.

Radiological Society of North America, 2018, Chicago, USA

M. J. Bauer, M. van Assen, C. N. De Cecco, M. Scarabello, P.Griffith, U. J.Schoepf, A. Varga-Szemes, B.E. Jacobs, T. M. Duguay: “Employing Artificial Intelligence to Predict Hematocrit Values from Non-Contrast CT Imaging Data-Towards Fully Automated CT-derived Myocardial Extracellular Volume Fraction Quantification”. Radiological Society

of North America, 2018, Chicago, USA

S. S. Martin, F. Lavra, C. N. De Cecco, A. Varga-Szemes, L. Saba, U. J. Schoepf, M. van Assen, T. M. Duguay, B. E. Jacobs, M. Scarabello, P.Griffith, M. Eid: “Predictive Value of Cardiac CT, Cardiac MR, and Transthoracic Echocardiography for Cardioembolic Stroke Recurrence”. Radiological Society of North America, 2018, Chicago, USA

M. van Assen, C.N. De Cecco, M. Eid, M. Bauer, M. Scarabello, F. Lavra, P. Von Knebel Doeberitz, D. Mastrodicasa, M. Oudkerk, R. Vliegenthart, U.J. Schoepf: “Predicting MACE in patients with coronary artery disease using a combination of CT Myocardial Perfusion and CT-FFR”. North American Society for Cardiovascular Imaging, 2018,

Charleston, USA

M. van Assen, C.N. De Cecco, M. Eid, P. Sahbaee, M. Oudkerk, R. Vliegenthart, U.J. Schoepf: “Feasibility of Extracellular Volume Quantification using Dual-energy CT”.

North American Society for Cardiovascular Imaging, 2018, Charleston, USA

M. van Assen, G. Pelgrim, M. Stijnen, S. Van Tuijl, U.J. Schoepf, R. Vliegenthart, M. Oudkerk: “Intermodel Agreement of Myocardial Blood Flow quantification in Dynamic Myocardial Perfusion CT”. European Congress of Radiology, 2018, Vienna, Austria. M. van Assen, C.N. De Cecco, R. Vliegenthart, M. Oudkerk, U.J. Schoepf: “Iodine quantification at rest and stress to differentiate ischaemic, infarcted and normal myocardium using dual-energy CT”. European Congress of Radiology, 2018, Vienna,

Austria.

M. van Assen, R. van Dijk, D. Kuijpers, R. Vliegenthart, M. Oudkerk: “Cardiac magnetic resonance T1 reactivity in coronary artery disease”. European Congress of

Radiology,2018, Vienna, Austria.

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F. Lavra, C.N. De Cecco, A. Varga-Szemes, M. van Assen (presenting author), P. von Knebel Doeberitz, U.J. Schoepf, M. Eid, D. Mastrodicasa, L. Saba: “Negative Predictive Value of Cardiac Magnetic Resonance and Cardiac Computed Tomography in Patients with Ischemic Stroke”. European Congress of Radiology, 2018, Vienna, Austria.

M.H. Albrecht, C.N. De Cecco, J.W. Nance, M. Eid, B.E. Jacobs, D. De Santis, M. van Assen, T.J. Vogl, C. Tesche, A.Varga-Szemes, U.J. Schoepf: “Diagnostic accuracy between low and high tube voltage third-generations dual-source coronary CT angiography using tailored contrast medium injection protocols”. European Congress of Radiology,

2018, Vienna, Austria.

D. Mastrodicasa, C.N. De Cecco, A. Moritz, A. Varga-Szemes, G. Muscogiuri, M. van Assen, M. Eid, F. Lavra, U.J. Schoepf: “Artificial intelligence deep-learning-based coronary CT fractional flow reserve: the impact of iterative and filtered back projection reconstruction techniques”. European Congress of Radiology, 2018, Vienna, Austria. R. van Dijk, M. van Assen, R. Vliegenthart, G. de Bock, P. van der Harst, M. Oudkerk: “Semi-quantitative and quantitative magnetic resonance perfusion analysis: a meta-analysis”. European Congress of Radiology,2018, Vienna, Austria.

M. van Assen, C.N. De Cecco, R. Vliegenthart, M. Oudkerk, U.J. Schoepf: “Iodine quantification at rest and stress for myocardial tissue characterization using dual-energy CT”. Netherlands Heart Days, 2018, Willemstad, Curacao.

R. van Dijk, D.J. Kuijpers, M. van Assen, A.M. Kaandorp, P.R.M. Dijkman, R. Vliegenthart, P. van der Harst, M. Oudkerk: “Assessment of stress adequacy during Cardiac Magnetic Resonance Imaging: Splenic Switch-Off, myocardial and splenic native T1-mapping”. Netherlands Heart Days, 2018, Willemstad, Curacao.

M. van Assen, R. van Dijk, D. Kuijpers, R. Vliegenthart, M. Oudkerk: “Rest and stress T1-mapping and T1 reactivity in patients with and without coronary artery disease”.

Radiological Society of North America, 2017, Chicago, USA.

M. van Assen, GJ. Pelgrim, J.M.A. Stijnen, S van Tuijl, U.J. Schoepf, R. Vliegenthart, M. Oudkerk: “Intermodel Agreement of Myocardial Blood Flow Estimation in Dynamic Myocardial Perfusion CT”: an ex-vivo porcine study. North American Society for

Cardiovascular Imaging, 2017, San Antonio, USA. appendices

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M. van Assen, R. van Dijk, D. Kuijpers, R. Vliegenthart, M. Oudkerk: “Rest and stress T1-mapping and T1 reactivity in patients with and without coronary artery disease”.

North American Society for Cardiovascular Imaging, 2017, San Antonio, USA.

M. van Assen, GJ. Pelgrim, J.M.A. Stijnen, S van Tuijl, U.J. Schoepf, R. Vliegenthart, M. Oudkerk: “The influence of temporal sampling rate on myocardial blood flow measurements in third generation dual-source CT: an ex-vivo porcine heart study”.

European Congress of Radiology, 2017, Vienna, Austria.

M. van Assen, GJ. Pelgrim, J.M.A. Stijnen, S van Tuijl, U.J. Schoepf, R. Vliegenthart, M. Oudkerk: “The influence of temporal sampling rate on myocardial blood flow measurements in third generation dual-source CT: an ex-vivo porcine heart study”.

Netherlands Heart Days, 2017, Willemstad, Curacao.

M. van Assen, G.J. Pelgrim, J.M.A. Stijnen, E. Slager, R. Vliegenthart, S. Van Tuijl, M. Oudkerk: “Comparison of myocardial perfusion parameters based on dynamic CT perfusion imaging obtained at different temporal sampling rates in an ex-vivo porcine heart model”. European Society for Cardiac Radiology, 2016, Krakov, Poland.

M. van Assen, G.J. Pelgrim, J.M.A. Stijnen, E. Slager, R. Vliegenthart, S. Van Tuijl, M. Oudkerk: “Dynamic CT analysis of myocardial perfusion parameters comparing different temporal sampling rates using a third generation dual source CT”. North

American Society for Cardiovascular Imaging, 2017, Baltimore, USA.

M. van Assen, M.M Admiraal, M.J. van Putten , M.Tjepkema-Cloostermans , A.F. van Rootselaar, J. Horn: “Automatic analysis of EEG reactivity in comatose patients”.

International Symposium on Intensive Care and Emergency Medicine, 2016, Bussels, Belgium, Published in Critical Care (2016).

M.M. Admiraal, M. van Assen, M.J. van Putten , M.Tjepkema-Cloostermans, A.F. van Rootselaar, J. Horn: “EEG reactivity in patients after cardiac arrest: a close look at the stimuli”. International Symposium on Intensive Care and Emergency Medicine, 2016,

Bussels, Belgium, Published in Critical Care (2016).

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CURRICULUM VITAE

Nederlands

Marly van Assen is geboren op 18 oktober 1989 te Gouda en groeide op in Waddinxveen. In 2008 behaalde zij haar VWO diploma aan het Coornhert Gymnasium te Gouda. Aansluitend begon ze met de studie Technisch Geneeskunde aan de Universiteit van Twente te Enschede. Haar bachelor sloot ze af met de thesis ‘Predicting the age of

maximal growth in children. Designing a mathematical program for patients with Adolescent Idopathic Scoliose’. Aansluitend is ze gestart met de master Technical

Medicine met een specialisatie in Medical Sensing and Stimulation. Na meerdere klinische stages in binnen- en buitenland sloot ze haar master af in januari 2016 op de afdeling intensive care van het Amsterdams Medisch Centrum met de thesis ‘EEG

reactivity as prognostic EEG marker in comatose cardiac arrest patients’. Hierop volgend

maakte ze de overstap van medische signaal analyse naar beeldvormende technieken door haar promotie traject, met als onderwerp cardiovasculaire beeldvorming, te starten onder begeleiding van prof. Oudkerk, prof. Vliegenthart en prof. Schoepf. De helft van haar promotietraject heeft zij doorgebracht aan de Medical University of South Carolina te Charleston, South Carolina, USA en de andere helft aan het Medisch Universitair Centrum Groningen te Groningen, Nederland. Het werk beschreven in dit proefschrift heeft ze gepresenteerd op diverse nationale en internationale conferenties. Tevens maakt ze deel uit van de scientific editoral board van het Eureopean Journal of Radiology en de British Journal of Radiology , is ze lid van het Data Science Institute van de American College of Radiologists en voorzitter van de in-training member

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English

Marly van Assen was born on October 18th_{, 1989, in Gouda, the Netherlands, and}

was raised in Waddinxveen. In 2008, she graduated from secondary education at the Coornhert Gymnasium in Gouda. After graduating, she started attended the University of Twente in Enschede for the study of Technical Medicine. She obtained her bachelor degree with a thesis entitled ‘Predicting the age of maximal growth in children. Designing

a mathematical program for patients with Adolescent Idopathic Scoliose’. She continued

with a master in Technical Medicine with a specialization track in Medical Sensing and Stimulation. After several clinical internships in the Netherlands and abroad, she obtained her master’s degree in January 2016 at the Amsterdam Medical Center with a thesis entitled ‘EEG reactivity as prognostic EEG marker in comatose cardiac arrest

patients’. After finishing her university education, her interest shifted from medical

signal analysis to medical image processing. She started her PhD program focused on cardiovascular imaging, supervised by prof. Oudkerk, prof. Vliegenthart and prof. Schoepf. During her PhD she spend half her time at the University Medical Center Groningen and the other half at the Medical University of South Carolina. The research described in this thesis was presented by her at multiple national and international conferences. She also is a member of the scientific editorial board of the European Journal of Radiology and the British Journal of Radiology, a member of the Data Science Institute of the American College of Radiologists and chair of the in-training member committee at the North American Society for Cardiovascular Imaging.

curriculumvitae