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Quantitative imaging in cardiovascular CT angiography

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University of Groningen

Quantitative imaging in cardiovascular CT angiography

Tuncay, Volkan

DOI:

10.33612/diss.131061767

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.

Document Version

Publisher's PDF, also known as Version of record

Publication date: 2020

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

Tuncay, V. (2020). Quantitative imaging in cardiovascular CT angiography. University of Groningen. https://doi.org/10.33612/diss.131061767

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Propositions accompanying the dissertation

Quantitative Imaging in Cardiovascular CT Angiography

by

Volkan Tuncay

1. Computed Tomography imaging plays a major role in the therapeutic management of cardiovascular diseases. (this thesis, Chapter 1)

2. Coronary artery geometry can be determined by non-invasive semi-automatic analysis of coronary Computed Tomography Angiography in a reproducible way. (this thesis, Chapter 2,3) 3. Higher curvature of the vessels may indicate sites that are prone to plaque development. (this

thesis, Chapter 2)

4. Coronary artery geometry measures are potential biomarkers for Coronary Artery Disease risk assessments. (this thesis, Chapter 2,3)

5. Coronary artery geometry parameters change dynamically during the cardiac cycle. However, this dynamic change is not related to the presence and extent of Coronary Artery Disease. (this thesis, Chapter 3)

6. Lumen contrast enhancement effects the intensity values of the pixels in the vessel wall region. This can be defined by an exponential approximation, which allows the correction of these intensity values for more accurate determination of the vessel wall composition. (this thesis, Chapter 4)

7. Computed Tomography is the most common imaging modality that provides 3D medical images for 3D printing of the heart valves. (this thesis, Chapter 5)

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8. Most reported areas of use for 3D printed models of heart valves are preoperatively planned g, followed by training, device testing, and retrospective procedure evaluation. (this thesis, Chapter 5)

9. Semi-automatic segmentation of Aortic Valve Area provides accurate, more reproducible, and faster quantification in comparison to manual segmentation. (this thesis, Chapter 7)

10. Aortic annulus undergoes dynamic change throughout the cardiac cycle. Due to the dynamic change and complex anatomy of the aortic annulus, multiphase 3D medical imaging has utmost importance for the surgical planning of the Transcatheter Aortic Valve Implantation. (this thesis, Chapter 8)

11. “Never give up on something that you cannot go a day without thinking about.” – Winston Churchill

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