Semi-automatic aortic aneurysm analysis

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 6511, Issue PART 2, 2007, Pages

  Bodur, Osman ^a   Grady, Leo ^a   Stillman, Arthur ^b   Setser, Randolph ^c   Funka Lea, Gareth ^a   O'Donnell, Thomas ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b EMORY UNIVERSITY HOSPITAL   (United States)

^c LERNER RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AORTIC ANEURYSM; AORTIC DIAMETER; DATASEIS; VESSEL PATHS;

ALGORITHMS; AUTOMATION; BRAIN; DISEASES; IMAGE REGISTRATION; IMAGE SEGMENTATION;

MEDICAL IMAGING;

EID: 35148896924     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.710719     Document Type: Conference Paper

References (17)

1. Vorp, David et. al., "Biomechanical Determinants of Abdominal Aortic Aneurysm Rupture", Arteriosclerosis, Thrombosis, and Vascular Biology, Journal of the AHA 2005;25;1558-1566.
2. Sakalihasan N, et. al., "Abdominal Aortic Aneurysm" Lancet 2005; 365: 1577-89
3. Limet R, Sakalihassan N, Albert A, "Determination of the expansion rate and incidence of rupture of abdominal aortic aneurysms," J Vascular Surgery 14(4) Oct 1991, pp 540-548.
4. Therasse E, Soulez G, Giroux M-F, Perreault P, et. al. "Stent-Graft Placement for the Treatment of Thoracic Aortic Diseases", Radiographics 2005 25: pp 157-173.
5. Fillinger, M, "New Imaging Techniques in Endovascular Surgery," Surgical Clinics of North America 79(3), pp 451-75, June 1999.
6. Loncaric S, Subasic M, Sorantin E , "3-D Deformable Model for Abdominal Aortic Aneurysm Segmentation from CT Images," First Int'l Workshop on Image and Signal Processing and Analysis, pp 139-144, June 2000, Pula Croatia.
7. Subramanyan K, et. al., "Automatic Aortic Vessel Tree Extraction and Thrombus Detection in Multi-Slice CT", Medical Imaging 2003: Image Processing, Proc SPIE Vol. 5032.
8. de Bruijne et. al., "Interactive Segmentation of Abdominal Aortic Aneurysms in CTA Images", Medical Image Analysis 8(2) pp 127-158.
9. Fillinger M, Raghavan M L, et. al., "In vivo analysis of mechanical wall stress and abdominal rupture risk", J Vascular Surgery, pp. 589-597. Sept 2002.
10. Fillinger M, Marra S, Rghava M L, Kennedy F, "Prediction of rupture risk in abdominal aortic aneurysm during observation: Wall stress versus diameter," J Vascular Surgery, 37(4), pp 724-732, April 2003.
11. Sacks M, Vorp D, Raghavan M L, Federle M, Webster M, "In Vivo Three-Dimensional Surface Geometry of Abdominal Aortic Aneurysms," Annal Biomed Eng 27, pp 469-479, 1999.
12. Hernandez M, Frangi A, Sapiro G, "Three-Dimensional Segmentation of Brain Aneurysms in CTA Using Non-parametric Region-based Information and Implicit Deformable Models: Method and Evaluation," MICCAI 2003 pp 594-602, 2003.
13. Grady L., "Fast, Quality, Segmentation of Large Volumes -Isoperimetric Distance Trees", ECCV 2006, pp 449-462.
14. Leo Grady and Eric L. Schwartz, "Isoperimetric Graph Partitioning for Image Segmentation", IEEE Trans, on Pattern Analysis and Machine Intelligence, vol. 28, no. 3, pp. 469-475, March 2006.
15. Leo Grady and Eric L. Schwartz, "Isoperimetric Partitioning: A new algorithm for graph partitioning", SIAM Journal on Scientific Computing, vol. 27, no. 6, pp. 1844-1866, June 2006.
16. Olabarriaga S., Rouet J.-M., Fradkin M,. "Segmentation of Thrombus in Abdominal Aortic Aneurysms from CTA with Non-Parametric Statistical Grey Level Appearance Modelling, " IEEE Transactions on Medical Imaging, 2005, v. 24, n. 4, p. 477-485.
17. S.D. Olabarriaga, M. Breeuwer, W.J. Niessen, "Multi-scale Statistical Grey Value Modelling for Thrombus Segmentation from CTA", in: Medical Image Computing and Computer-Assisted Intervention, Springer, 2004, vol. 3216, Lecture Notes in Computer Science, p. 467-474.