Anatomical labeling of the Circle of Willis using maximum a posteriori graph matching

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

Volumn 8149 LNCS, Issue PART 1, 2013, Pages 566-573

  Robben, David ^a   Sunaert, Stefan ^b   Thijs, Vincent ^b   Wilms, Guy ^b   Maes, Frederik ^a   Suetens, Paul ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b UNIVERSITY HOSPITALS LEUVEN   (Belgium)

Author keywords

anatomical labeling; Circle of Willis; Graph matching; MAP; vasculature

Indexed keywords

ANATOMICAL LABELING; AVERAGE ERRORS; CIRCLE OF WILLIS; GRAPH MATCHINGS; MAXIMUM A POSTERIORI; QUADRATIC BINARY PROGRAMMING; VASCULAR GRAPH; VASCULATURE;

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; MAPS;

BLOOD VESSELS;

ALGORITHM; ARTICLE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN CIRCULUS ARTERIOSUS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; MAGNETIC RESONANCE ANGIOGRAPHY; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; CIRCLE OF WILLIS; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE ANGIOGRAPHY; MODELS, ANATOMIC; MODELS, CARDIOVASCULAR; MODELS, NEUROLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84894634347     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40811-3_71     Document Type: Conference Paper

References (9)

1. Bogunović, H., Pozo, J.M., Cárdenes, R., Frangi, A.F.: Anatomical labeling of the anterior circulation of the Circle of Willis using maximum a posteriori classification. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part III. LNCS, vol. 6893, pp. 330-337. Springer, Heidelberg (2011)
2. Krabbe-Hartkamp, M., Van der Grond, J., de Leeuw, F., de Groot, J., Algra, A., Hillen, B., Breteler, M., Mali, W.: Circle of Willis; morphologic variation on three-dimensional time-of-flight MR angiograms. Radiology 207(1), 103-111 (1998)
3. Leordeanu, M., Hebert, M.: A spectral technique for correspondence problems using pairwise constraints. In: ICCV, vol. 2, pp. 1482-1489 (2005), http://www.ri.cmu.edu/publication-view.html?pub-id=5161
4. Merz, P., Freisleben, B.: Greedy and local search heuristics for unconstrained binary quadratic programming. Journal of Heuristics 8(2), 197-213 (2002)
5. Mori, K., Oda, M., Egusa, T., Jiang, Z., Kitasaka, T., Fujiwara, M., Misawa, K.: Automated nomenclature of upper abdominal arteries for displaying anatomical names on virtual laparoscopic images. In: Liao, H., Edwards, P.J., Pan, X., Fan, Y., Yang, G.-Z. (eds.) MIAR 2010. LNCS, vol. 6326, pp. 353-362. Springer, Heidelberg (2010)
6. Mori, K., Ota, S., Deguchi, D., Kitasaka, T., Suenaga, Y., Iwano, S., Hasegawa, Y., Takabatake, H., Mori, M., Natori, H.: Automated anatomical labeling of bronchial branches extracted from CT datasets based on machine learning and combination optimization and its application to bronchoscope guidance. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009, Part II. LNCS, vol. 5762, pp. 707-714. Springer, Heidelberg (2009)
7. Palágyi, K., Sorantin, E., Balogh, E., Kuba, A., Halmai, C., Erdohelyi, B., Hausegger, K.: A sequential 3D thinning algorithm and its medical applications. In: Insana, M.F., Leahy, R.M. (eds.) IPMI 2001. LNCS, vol. 2082, pp. 409-415. Springer, Heidelberg (2001)
8. Takemura, A., Suzuki, M., Harauchi, H., Okumura, Y.: Automatic anatomical labeling method of cerebral arteries in MR-angiography data set. Japanese Journal of Medical Physics 26(4), 187-198 (2006)
9. Tschirren, J., McLennan, G., Palágyi, K., Hoffman, E.A., Sonka, M.: Matching and anatomical labeling of human airway tree. IEEE Transactions on Medical Imaging 24(12), 1540-1547 (2005)