Model-based segmentation and motion analysis of the thoracic aorta from 4D ECG-gated CTA images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6891 LNCS, Issue PART 1, 2011, Pages 589-596

  Biesdorf, Andreas ^a   Wörz, Stefan ^a   Müller, Tobias ^b,c   Weber, Tim Frederik ^b,c   Heye, Tobias ^b   Hosch, Waldemar ^b   Von Tengg Kobligk, Hendrik ^b,c   Rohr, Karl ^a  

^a UNIVERSITY OF HEIDELBERG   (Germany)

^b UNIVERSITY HOSPITAL HEIDELBERG   (Germany)

^c GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CARDIAC CYCLES; IMAGE SEQUENCE; INTENSITY-BASED MATCHING; MODEL-BASED SEGMENTATION; MOTION ANALYSIS; MOTION PATTERN; QUANTITATIVE EVALUATION; SEGMENTATION ACCURACY; THERAPY PLANNING; THORACIC AORTA; VESSEL MODEL;

BLOOD VESSELS; COMPUTER AIDED ANALYSIS; ELECTROCARDIOGRAPHY; IMAGE SEGMENTATION; MEDICAL COMPUTING; MEDICAL IMAGING;

THREE DIMENSIONAL;

ALGORITHM; ANGIOGRAPHY; AORTA; ARTICLE; COMPUTER PROGRAM; COMPUTER SIMULATION; ECHOGRAPHY; ELECTROCARDIOGRAPHY; HUMAN; IMAGE PROCESSING; METHODOLOGY; MOTION; PATHOLOGY; REPRODUCIBILITY; STATISTICAL MODEL; THORACIC AORTA; THREE DIMENSIONAL IMAGING; TIME;

ALGORITHMS; ANGIOGRAPHY; AORTA; AORTA, THORACIC; COMPUTER SIMULATION; ELECTROCARDIOGRAPHY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, STATISTICAL; MOTION; REPRODUCIBILITY OF RESULTS; SOFTWARE; TIME FACTORS;

EID: 80053503259     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23623-5_74     Document Type: Conference Paper

References (9)

1. Hameeteman, K., Rozie, S., Metz, C., Klein, S., van Walsum, T., van der Lugt, A., Niessen, W.: Automated carotid artery distensibility measurements from CTA using nonrigid registration. In: IEEE International Symposium on Biomedical Imaging, pp. 13-16 (2010)
2. Jodoin, P., Lalande, A., Voisin, Y., Bouchot, O., Steinmetz, E.: Markovian method for 2D, 3D and 4D segmentation of MRI. In: IEEE International Conference on Image Processing, pp. 3012-3015 (2008)
3. Lorenzo-Valdés, M., Sanchez-Ortiz, G.I., Bogren, H., Mohiaddin, R.H., Rueckert, D.: Determination of Aortic Distensibility Using Non-rigid Registration of Cine MR Images. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3216, pp. 754-762. Springer, Heidelberg (2004) (Pubitemid 40787448)
4. Rueckert, D., Burger, P., Forbat, S., Mohiaddin, R., Yang, G.Z.: Automatic tracking of the aorta in cardiovascular MR images using deformable models. IEEE Transactions on Medical Imaging 16(5), 581-590 (1997)
5. Schwartz, E., Gottardi, R., Holfeld, J., Loewe, C., Czerny, M., Langs, G.: Evaluating deformation patterns of the thoracic aorta in gated CTA sequences. In: IEEE International Symposium on Biomedical Imaging, pp. 21-24 (2010)
6. Wörz, S., Von Tengg-Kobligk, H., Henninger, V., Rengier, F., Schumacher, H., Bckler, D., Kauczor, H.U., Rohr, K.: 3D Quantification of the Aortic Arch Morphology in 3D CTA Data for Endovascular Aortic Repair. IEEE Transactions on Biomedical Engineering 57(10), 2359-2368 (2010)
7. Xiong, G., Taylor, C.A.: Physics-based modeling of aortic wall motion from ECG-gated 4D computed tomography. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010. LNCS, vol. 6361, pp. 426-434. Springer, Heidelberg (2010)
8. Zhang, D.P., Risser, L., Friman, O., Metz, C., Neefjes, L., Mollet, N., Niessen, W., Rueckert, D.: Nonrigid registration and template matching for coronary motion modeling from 4D CTA. In: Fischer, B., Dawant, B.M., Lorenz, C. (eds.) WBIR 2010. LNCS, vol. 6204, pp. 210-221. Springer, Heidelberg (2010)
9. Zhao, F., Zhang, H., Wahle, A., Thomas, M., Stolpen, A., Scholz, T., Sonka, M.: Congenital aortic disease: 4D magnetic resonance segmentation and quantitative analysis. Medical Image Analysis 13(3), 483-493 (2009)