CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12304 > Article
Open Access Paper
17 October 2022 A five-dimensional cardiac CT model for generating virtual CT projections for user-defined bolus dynamics and ECG profiles
Eri Haneda, Bernhard Claus, Jed Pack, Darin Okerlund, Albert Hsiao, Elliot McVeigh, Bruno De Man
Author Affiliations +
Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 1230414 (2022) https://doi.org/10.1117/12.2646398
Event: Seventh International Conference on Image Formation in X-Ray Computed Tomography (ICIFXCT 2022), 2022, Baltimore, United States
Abstract
Cardiac CT exams are some of the most complex CT exams due to need to carefully time the scan to capture the heart during the quiescent cardiac phase and when the contrast bolus is at its peak concentration. We are interested in developing a robust and autonomous cardiac CT protocol, using deep learning approaches to extract contrast timing and cardiac phase timing directly from pulsed projections. In this paper, we present a new approach to generate large amounts of clinically realistic virtual data for training deep learning networks. We propose a five-dimensional cardiac model generated from 4D cardiac coronary CT angiography (CTA) data for synthetic contrast bolus dynamics and patient ECG profiles. We apply deep learning to segment seven heart compartments and simulate intravenous contrast propagation through each compartment to insert contrast bolus. Additional augmentation techniques by randomizing a bolus curve, patient ECG profile, acquisition timing, and patient motion are applied to increase the amount of data that can be generated. We demonstrate good performance of the deep learning segmentation network, examples of simulated bolus curves using a realistic protocol, and good correspondence between virtually generated projections and real projections from patient scans.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Eri Haneda, Bernhard Claus, Jed Pack, Darin Okerlund, Albert Hsiao, Elliot McVeigh, and Bruno De Man "A five-dimensional cardiac CT model for generating virtual CT projections for user-defined bolus dynamics and ECG profiles", Proc. SPIE 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography, 1230414 (17 October 2022); https://doi.org/10.1117/12.2646398
PROCEEDINGS
 5 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Computed tomography
Image segmentation
Heart
Blood circulation
Data modeling
Data acquisition
3D modeling
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top