Detection of type II endoleaks in abdominal aortic aneurysms after endovascular repair

Computers in Biology and Medicine

Volumn 41, Issue 10, 2011, Pages 871-880

  Macia I ^a,b   Grana M ^b   Maiora, J ^b   Paloc, C ^a   de Blas, Mariano ^c  

^a VICOMTECH   (Spain)

^b UNIVERSITY OF THE BASQUE COUNTRY UPV EHU   (Spain)

^c HOSPITAL DONOSTIA   (Spain)

Author keywords

Abdominal aortic aneurysm; Endoleak detection; Endovascular aneurysm repair; Image processing; Neural networks; Thrombus segmentation

Indexed keywords

ABDOMINAL AORTIC ANEURYSMS; AORTIC WALLS; AUTOMATIC METHOD; BLOOD CIRCULATION; COMPUTER TOMOGRAPHY ANGIOGRAPHIES; CONNECTED COMPONENT; CONTENT-BASED; ENDOLEAKS; ENDOVASCULAR; ENDOVASCULAR REPAIR; MODEL APPROACH; MULTI LAYER PERCEPTRON; REPAIR TECHNIQUES; SPACE BETWEEN; THROMBUS SEGMENTATION; TYPE II;

BLOOD; GRAFTING (CHEMICAL); GRAFTS; IMAGE PROCESSING; IMAGE SEGMENTATION; NEURAL NETWORKS; REPAIR;

BLOOD VESSELS;

ABDOMINAL AORTA ANEURYSM; ARTICLE; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; ENDOLEAK; ENDOVASCULAR ANEURYSM REPAIR; GEOMETRY; HUMAN; IMAGE PROCESSING; PERCEPTRON; PRIORITY JOURNAL; THROMBUS; TYPE II ENDOLEAK; WATERSHED;

ALGORITHMS; ANGIOGRAPHY; AORTIC ANEURYSM, ABDOMINAL; BLOOD VESSEL PROSTHESIS; ENDOLEAK; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; NEURAL NETWORKS (COMPUTER); STENTS; TOMOGRAPHY, X-RAY COMPUTED;

EID: 80052950585     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2011.07.005     Document Type: Article

References (21)

1. Beucher S., Lantuejoul Ch. Use of watersheds in contour detection. International Workshop on Image Processing, Real-Time Edge and Motion Detection/Estimation 1979.
2. Borghi A., Wood N.B., Mohiaddin R.H., Xu X.Y. 3D geometric reconstruction of thoracic aortic aneurysms. BioMedical Engineering OnLine 2006, 5(59).
3. Couprie M., Bertrand G. Topological grayscale watershed transform. SPIE Vision Geometry VI 1997, vol. 3168:136-146.
4. Danielsson P.E. Euclidean distance mapping. Computer Graphics and Image Processing 1980, 14:227-248.
5. de Bruijne M., van Ginneken B., Viergever M.A., Niessen W.J. Interactive segmentation of abdominal aortic aneurysms in CTA images. Medical Image Analysis 2004, 8(2):127-138.
6. Fung G.S.K., Lam S.K., Cheng SW.K., Chow K.W. On stent-graft models in thoracic aortic endovascular repair: a computational investigation of the hemodynamic factors. Computers in Biology and Medicine 2008, 38(4):484-489.
7. Hertz J.A., Krogh A.S., Palmer R.G. Introduction To The Theory Of Neural Computation, Volume I (Santa Fe Institute Studies in the Sciences of Complexity) 1991, Westview Press.
8. Ng L., Cates J., Ibanez L., Schroeder W. The ITK Software Guide 2003, Kitware Inc.
9. Laheij R.J.F., Buth J., Harris P.L., Moll F.L., Stelter W.J., Verhoeven E.L.G. Need for secondary interventions after endovascular repair of abdominal aortic aneurysm. Intermediate-term follow-up results of a european collaborative registry. British Journal of Surgery 2002, 87(12):1666-1673.
10. Lee K., Johnson R.K., Yin Y., Wahle A., Olszewski M.E., Scholz T.D., Sonka M. Three-dimensional thrombus segmentation in abdominal aortic aneurysms using graph search based on a triangular mesh. Computers in Biology and Medicine 2010, 40(3):271-278.
11. Olabarriaga S.D., Rouet J.M., Fradkin M., Breeuwer M., Niessen W.J. Segmentation of thrombus in abdominal aortic aneurysms from CTA with nonparametric statistical grey level appearance modelling. IEEE Transactions on Medical Imaging 2005, 24(4):477-485.
12. Stravopoulos S.W., Charagundla S.R. Imaging techniques for detection and management of endoleaks after endovascular aortic aneurysm repair. Radiology 2007, 243(3):641-655.
13. Subasic M., Loncaric S., Sorantin E. 3d image analysis of abdominal aortic aneurysm. SPIE Medical Imaging 2002, vol. 4684:1681-1689.
14. Tolia A.J., Landis R., Lamparello P., Rosen R., Macari M. Type II endoleaks after endovascular repair of abdominal aortic aneurysms: natural history. Radiology 2005, 235(May):683-686.
15. Upchurch G.R., A Schaub T. Abdominal aortic aneurysm. American Family Physician 2006, 73(7):1198-1204.
16. Wever J.J., Blankensteijn J.D., Van Rijn J.C., Broeders I.A., Eikelboom B.C., Mali W.P. Inter- and intraobserver variability of ct measurements obtained after endovascular repair. American Journal of Roentgenology 2000, 175:1279-1282.
17. Whitaker R.T., Xue X. Variable-conductance, level-set curvature for image denoising. International Conference on Image Processing (ICIP'01) 2001, vol. 3:142-145.
18. White G.H., May J., Waugh R.C. Type I and type II endoleak: a more useful classification for reporting results of endoluminal aaa repair. Journal of Endovascular Surgery 1998, 5(4):378-380.
19. White G.H., May J., Waugh R.C., Chaufour X., Yu W. Type III and type IV endoleak: toward a complete definition of blood flow in the sac after endoluminal aaa repair. Journal of Endovascular Surgery 1998, 5(4):305-309.
20. Witten I.H., Frank E., Trigg L., Hall M., Holmes G., Cunningham S.J. Weka: practical machine learning tools and techniques with java implementations. ICONIP/ANZIIS/ANNES'99 Workshop on Emerging Knowledge Engineering and Connectionist-Based Information Systems 1999, 192-196. Dunedin, New Zealand. K. Ko, N. Kasabov (Eds.).
21. Zhuge F., Rubin G.D., Sun S., Napel S. An abdominal aortic aneurysm segmentation method: level-set with region and statistical information. Medical Physics 2006, 33(5):1440-1453.