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Computer Assisted Coronary CT Angiography Analysis: Disease-centered Software Development
Linköping University, Department of Medicine and Health Sciences, Radiology . Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Centre for Medical Imaging, Department of Radiology in Linköping. (Coronary CTA Visualization)ORCID iD: 0000-0002-0442-3524
2009 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The substantial advances of coronary CTA have resulted in a boost of use of this new technique in the last several years, which brings a big challenge to radiologists by the increasing number of exams and the large amount of data for each patient. The main goal of this study was to develop a computer tool to facilitate coronary CTA analysis by combining knowledge of medicine and image processing.Firstly, a competing fuzzy connectedness tree algorithm was developed to segment the coronary arteries and extract centerlines for each branch. The new algorithm, which is an extension of the “virtual contrast injection” method, preserves the low density soft tissue around the coronary, which reduces the possibility of introducing false positive stenoses during segmentation.Secondly, this algorithm was implemented in open source software in which multiple visualization techniques were integrated into an intuitive user interface to facilitate user interaction and provide good over¬views of the processing results. Considerable efforts were put on optimizing the computa¬tional speed of the algorithm to meet the clinical requirements.Thirdly, an automatic seeding method, that can automatically remove rib cage and recognize the aortic root, was introduced into the interactive segmentation workflow to further minimize the requirement of user interactivity during post-processing. The automatic procedure is carried out right after the images are received, which saves users time after they open the data. Vessel enhance¬ment and quantitative 2D vessel contour analysis are also included in this new version of the software. In our preliminary experience, visually accurate segmentation results of major branches have been achieved in 74 cases (42 cases reported in paper II and 32 cases in paper III) using our software with limited user interaction. On 128 branches of 32 patients, the average overlap between the centerline created in our software and the manually created reference standard was 96.0%. The average distance between them was 0.38 mm, lower than the mean voxel size. The automatic procedure ran for 3-5 min as a single-thread application in the background. Interactive processing took 3 min in average with the latest version of software. In conclusion, the presented software provides fast and automatic coron¬ary artery segmentation and visualization. The accuracy of the centerline tracking was found to be acceptable when compared to manually created centerlines.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press , 2009. , 33 p.
Series
Linköping Studies in Health Sciences. Thesis, ISSN 1100-6013 ; 96
Keyword [en]
Coronary CTA, vessel segmenation, centerline tracking, visualization
National Category
Radiology, Nuclear Medicine and Medical Imaging Computer Vision and Robotics (Autonomous Systems) Cardiac and Cardiovascular Systems
Identifiers
URN: urn:nbn:se:liu:diva-17783ISBN: 978-91-7393-643-9 (print)OAI: oai:DiVA.org:liu-17783DiVA: diva2:211997
Presentation
2009-05-12, Wranne-salen, Campus US, Linköpings Universitet, Linköping, 13:00 (English)
Opponent
Supervisors
Available from: 2009-04-28 Created: 2009-04-20 Last updated: 2013-10-21Bibliographically approved
List of papers
1. Coronary Artery Segmentation and Skeletonization Based on Competing Fuzzy Connectedness Tree
Open this publication in new window or tab >>Coronary Artery Segmentation and Skeletonization Based on Competing Fuzzy Connectedness Tree
2007 (English)In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007: 10th International Conference, Brisbane, Australia, October 29 - November 2, 2007, Proceedings, Part I / [ed] Nicholas Ayache, Sébastien Ourselin, Anthony Maeder, Springer Berlin/Heidelberg, 2007, Vol. 4791, 311-318 p.Conference paper, Published paper (Refereed)
Abstract [en]

We propose a new segmentation algorithm based on competing fuzzy connectedness theory, which is then used for visualizing coronary arteries in 3D CT angiography (CTA) images. The major difference compared to other fuzzy connectedness algorithms is that an additional data structure, the connectedness tree, is constructed at the same time as the seeds propagate. In preliminary evaluations, accurate result have been achieved with very limited user interaction. In addition to improving computational speed and segmentation results, the fuzzy connectedness tree algorithm also includes automated extraction of the vessel centerlines, which is a promising approach for creating curved plane reformat (CPR) images along arteries’ long axes.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2007
Series
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 4791
Keyword
segmentation - fuzzy connectedness tree - centerline extraction - skeletonization - coronary artery - CT angiography
National Category
Radiology, Nuclear Medicine and Medical Imaging Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:liu:diva-17816 (URN)10.1007/978-3-540-75757-3_38 (DOI)000250916000038 ()978-3-540-75756-6 (ISBN)
Conference
10th International Conference on Medical Image Computing and Computer-Assisted Intervention, Brisbane, Australia, October 29 - November 2, 2007
Note

The original publication is available at www.springerlink.com: Chunliang Wang and Örjan Smedby, Coronary Artery Segmentation and Skeletonization Based on Competing Fuzzy Connectedness Tree, 2007, Medical Image Computing and Computer-Assisted Intervention, (4791), 311-318. http://dx.doi.org/10.1007/978-3-540-75757-3_38 Copyright: Springer-verlag http://www.springerlink.com/

Available from: 2009-04-21 Created: 2009-04-21 Last updated: 2014-09-24Bibliographically approved
2. An interactive software module for visualizing coronary arteries in CT angiography
Open this publication in new window or tab >>An interactive software module for visualizing coronary arteries in CT angiography
2008 (English)In: International Journal of Computer Assisted Radiology and Surgery, ISSN 1861-6410, Vol. 3, no 1-2, 11-18 p.Article in journal (Refereed) Published
Abstract [en]

A new software module for coronary artery segmentation and visualization in CT angiography (CTA) datasets is presented, which aims to interactively segment coronary arteries and visualize them in 3D with maximum intensity projection (MIP) and volume rendering (VRT).

Materials and Methods:  The software was built as a plug-in for the open-source PACS workstation OsiriX. The main segmentation function is based an optimized “virtual contrast injection” algorithm, which uses fuzzy connectedness of the vessel lumen to separate the contrast-filled structures from each other. The software was evaluated in 42 clinical coronary CTA datasets acquired with 64-slice CT using isotropic voxels of 0.3–0.5 mm.

Results:  The median processing time was 6.4 min, and 100% of main branches (right coronary artery, left circumflex artery and left anterior descending artery) and 86.9% (219/252) of visible minor branches were intact. Visually correct centerlines were obtained automatically in 94.7% (321/339) of the intact branches.

Conclusion:  The new software is a promising tool for coronary CTA post-processing providing good overviews of the coronary artery with limited user interaction on low-end hardware, and the coronary CTA diagnosis procedure could potentially be more time-efficient than using thin-slab technique.

Place, publisher, year, edition, pages
Heidelberg/Berlin: Springer, 2008
Keyword
Coronary vessels - Tomography, spiral computed - Algorithms - Radiographic image interpretation, computer-assisted
National Category
Radiology, Nuclear Medicine and Medical Imaging Cardiac and Cardiovascular Systems Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:liu:diva-17817 (URN)10.1007/s11548-008-0160-6 (DOI)
Note

The original publication is available at www.springerlink.com: Chunliang Wang, Hans Frimmel, Anders Persson and Örjan Smedby, An interactive software module for visualizing coronary arteries in CT angiography, 2008, International Journal of Computer Assisted Radiology and Surgery, (3), 1-2, 11-18. http://dx.doi.org/10.1007/s11548-008-0160-6 Copyright: Springer Science Business Media http://www.springerlink.com/

Available from: 2009-04-21 Created: 2009-04-21 Last updated: 2014-08-21Bibliographically approved
3. Integrating automatic and interactive method for coronary artery segmentation: let PACS workstation think ahead
Open this publication in new window or tab >>Integrating automatic and interactive method for coronary artery segmentation: let PACS workstation think ahead
2010 (English)In: International Journal of Computer Assisted Radiology and Surgery, ISSN 1861-6410, E-ISSN 1861-6429, Vol. 5, no 3, 275-285 p.Article in journal (Refereed) Published
Abstract [en]

Purpose: To provide an efficient method to extract useful information from the increasing amount of coronary CTA.

Methods: A quantitative coronary CTA analysis tool was built on OsiriX, which integrates both fully automatic and interactive methods for coronary artery extraction. The computational power of an ordinary PC is exploited by running the non-supervised coronary artery segmentation and centerline tracking in the background as soon as the images are received. When the user opens the data, the software provides a real-time interactive analysis environment.

Results: The average overlap between the centerline created in our software and the reference standard was 96.0%. The average distance between them was 0.38 mm. The automatic procedure runs for 3-5 min as a single-thread application in background. Interactive processing takes 3 min in average.

Conclusion: In preliminary experiments, the software achieved higher efficiency than the former interactive method, and reasonable accuracy compared to manual vessel extraction.

Keyword
Coronary CT angiography, automatic vessel extraction, vessel segmentation, centerline tracking
National Category
Radiology, Nuclear Medicine and Medical Imaging Cardiac and Cardiovascular Systems Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:liu:diva-17818 (URN)10.1007/s11548-009-0393-z (DOI)000289288800008 ()
Note

The original publication is available at www.springerlink.com: Chunliang Wang and Örjan Smedby, Integrating automatic and interactive method for coronary artery segmentation: let PACS workstation think ahead, 2011, International Journal of Computer Assisted Radiology and Surgery, (5), 3, 275-285. http://dx.doi.org/10.1007/s11548-009-0393-z Copyright: Springer Science Business Media http://www.springerlink.com/

Available from: 2009-04-21 Created: 2009-04-21 Last updated: 2017-12-13Bibliographically approved

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Wang, Chunliang

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