Fast and automatic segmentation of ascending aorta in MSCT volume data

Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09

Volumn , Issue , 2009, Pages

  Shengjun, Wang ^b   Ling, Fu ^a   Yong, Yue ^c   Yan, Kang ^a   Jiren, Liu ^b  

^a NORTHEASTERN UNIVERSITY   (China)

^b NORTHEASTERN UNIVERSITY   (China)

^c CHINA MEDICAL UNIVERSITY   (China)

Author keywords

Ascending aorta; Cardiac diseases; Computer aided diagnosis; CT angiography(CTA); Segmentation

Indexed keywords

ASCENDING AORTA; AUTOMATIC ITERATIVE PROCEDURES; AUTOMATIC SEGMENTATIONS; CARDIAC DISEASE; CORONARY ARTERIES; CRITICAL STEPS; CT ANGIOGRAPHY; DATA SETS; MULTISLICE COMPUTED TOMOGRAPHY; QUANTITATIVE ANALYSIS; RUNNING TIME; SEED POINT; VOLUME DATA; VOLUME OF INTEREST;

ANEMOMETERS; ANGIOGRAPHY; BLOOD VESSELS; COMPUTERIZED TOMOGRAPHY; SIGNAL PROCESSING;

COMPUTER AIDED DIAGNOSIS;

EID: 73849146563     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISP.2009.5305569     Document Type: Conference Paper

References (20)

1. M Sonka et al. "Early Detection of Aortic Aneurysm Risk from 4-D MR Image", Computers in Cardiology, 2006, pp. 69-72.
2. M Sonka et al. "Early Detection of Aortic Aneurysm Risk from 4-D MR Image", Computers in Cardiology, 2006, pp. 69-72.
3. N. Rodondi, B.C. Taylor, D.C. Bauer, L.Y. Lui, M.T.Vogt, H.A. Fink, W.S. Browner, S.R. Cummings, and K.E. Ensrud, "Association between aortic calcification and total and cardiovascular mortality in older women", JIntern Med, vol. 261, no.3, pp. 238-244, 2007.
4. Leschka S, Alkadhi H, Plass A, et al. "Accuracy of MSCT coronary angiography with 64-slice technology: First experience", Eur Heart J. 2005, pp. 1482-7.
5. Daniel Mueller, Anthony Maeder, "Robust semi-automated path extraction for visualizing stenosis of the coronary arteries", Computerized Medical Imaging and Graphics, vol.32, pp 463-465,2008.
6. Marquering HA, Dijkstra J, Koning PJH de, Stoel BC and Reiber JHC, "Towards quantitative analysis of coronary CTA", Int J Cardiovasc Imaging 2005,21: 73-84.
7. Vogl TJ, et al. "Techniques for the detection of coronary atherosclerosis: multi-detector row CT coronary angiography", Radiology 2002, 223: 212-220.
8. Ohnesorge, Bernd M.,Cardiac, "Imaging: Principles Protocals, Indications, Outlook", Springer Verlag, Edition 2nd, 2007.
9. Mueller D, Maeder A, O'Shea P, "Tagged volume rendering of the heart", Proceedings of medical image computing and computer assisted intervention(MICCAI 2007", vol. 4791, LNCS, Springer, 2007, pp. 194-201.
10. D. Nain, A. Yezzi, and G. Turk, "Vessel segmentation using a shape driven flow", Medical Image Computing and Computer-assisted Intervention - MICCAI, 2004, pp. 51-59.
11. A.F.Fangi. , "Three-Dimensional Model-Based Analysis of Vascular and Cardiac Images", Ph.D Thesis, Univ. ofUtrecht, 2001.
12. Stefan C. Saur et al. "Automatic ascending aorta detection in CTA datasets", Lecture Notes in Computer Science, Springer Berlin, 2008, pp. 323-327.
13. C. Kirbas and F. Quek, "Vessel extraction techniques and algorithm: a survey", Proceedings of the 3rd IEEE Symposium on BioInfomratics and Bioengineering (BIBE'03), 2003.
14. Hennemuth A, Boskamp T, Fritz D, et al. " One-click coronary tree segmentation in CT angiographic images", In Proceedings of the 19th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS'05) ,2005, pp. 317-321.
15. Chun Liang Wang et al. "An Automatic Seeding Method for Coronary Artery Segmentation and Skeletonization in CTA", Insight Journal, 2008. pp. 1-8.
16. Uday Kurkure et al. "Automated Segmentation of Thoracic Aorta in Non-Contrast CT Images", Biomedical Imaging: From Nano to Macro, 2008, pp. 29-32.
17. I.M. Adame, R.J. van der Geest, D.A. Bluemke, J.A.Lima, J.H. Reiber, and B.P. Lelieveldt, "Automatic vessel wall contour detection and quantification of wall thickness in in-vivo MR images of the human aorta," J Magn Reson Imaging, vol. 24, no. 3, pp. 595-602, 2006.
18. Kovacs T, Cattin P, Alkadhi H, et al. "Automatic segmentation of the vessel lumen from 3D CTA images of aortic dissection", Proc BVM, 2006, pp. 161-165.
19. Cui Jiwen, Tan Jiubin. Fast Circle Contour Detection Technique based on Hough Transformation with Sampling Restraint, Journal of Haerbin Industrial and Technical University, 2005, 1394-1396.
20. Yin Pengyang. A New Circle/Ellipse Detector Using Genetic Algorithms, Pattern Recognition Letters, 1999, 20(7): 731-740.