Surface-region context in optimal multi-object graph-based segmentation: Robust delineation of pulmonary tumors

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

Volumn 6801 LNCS, Issue , 2011, Pages 61-72

  Song, Qi ^a   Chen, Mingqing ^a   Bai, Junjie ^a   Sonka, Milan ^a,b   Wu, Xiaodong ^a,b  

^a IA United States   (United States)

^b UNIVERSITY OF IOWA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARBITRARY SHAPE; CONTEXT INFORMATION; DICE COEFFICIENT; GRAPH MODEL; GRAPH-BASED SEGMENTATION; GRAPH-CUT; INTERACTION INFORMATION; LOW-ORDER POLYNOMIALS; LUNG TUMOR; MAXIMUM FLOWS; MEDICAL IMAGE ANALYSIS; MEGAVOLTAGE CONE-BEAM CT; MULTI-OBJECT SEGMENTATION; MULTIOBJECT; MULTIPLE OBJECTS; MUTUAL INTERACTION; NOVEL SOLUTIONS; OPTIMAL SOLUTIONS; TARGET OBJECT; TUMOR SEGMENTATION;

DATA PROCESSING; GRAPHIC METHODS; IMAGE SEGMENTATION; MEDICAL IMAGING; OPTIMIZATION; POLYNOMIAL APPROXIMATION; TUMORS;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; IMAGE QUALITY; LUNG NON SMALL CELL CANCER; LUNG TUMOR; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CARCINOMA, NON-SMALL-CELL LUNG; HUMANS; LUNG NEOPLASMS; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 80052324346     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-22092-0_6     Document Type: Conference Paper

References (13)

1. Delong, A., Boykov, Y.: Globally optimal segmentation of multi-region objects. In: ICCV (2009)
2. Han, D., Bayouth, J., Song, Q., Taurani, A., Sonka, M., Buatti, J., Wu, X.: Globally optimal tumor segmentation in PET-CT images: A graph-based co-segmentation method. In: Sz?ekely, G., Hahn, H.K. (eds.) IPMI 2011. LNCS, vol. 6801, pp. 245-270. Springer, Heidelberg (2011), (this volume)
3. Han, D., Wu, X., Sonka, M.: Optimal multiple surfaces searching for video/image resizing - a graph-theoretic approach. In: ICCV (2009)
4. Li, K., Wu, X., Chen, D.Z., Sonka, M.: Optimal surface segmentation in volumetric images - a graph-theoretic approach. IEEE TPAMI 28(1), 119-134 (2006)
5. Chen, M., Siochi, R.A.: A clinical feasibility study on respiratory sorted megavoltage cone beam CT. In: International Workshop on Pulmonary Image Analysis (2010)
6. Chen, M., Siochi, R.A.: Diaphragm motion quantification in megavoltage conebeam CT projection images. Medical Physics 37, 2312-2320 (2010)
7. Schaap, M., Neefjes, L., Metz, C., van der Giessen, A., Weustink, A., Mollet, N., Wentzel, J., van Walsum, T., Niessen, W.: Coronary lumen segmentation using graph cuts and robust kernel regression. In: Prince, J.L., Pham, D.L., Myers, K.J. (eds.) IPMI 2009. LNCS, vol. 5636, pp. 528-539. Springer, Heidelberg (2009)
8. Morin, O., Gillis, A., Chen, J., Aubin, M., Bucci, M., Roach, M., Pouliot, J.: Megavoltage cone-beam CT: system description and clinical applications. Medical Dosimetry 31(1), 51-61 (2006)
9. Song, Q., Wu, X., Liu, Y., Haeker, M., Sonka, M.: Simultaneous searching of globally optimal interacting surfaces with shape priors. In: CVPR (2010)
10. Song, Q., Liu, Y., Liu, Y., Saha, P.K., Sonka, M., Wu, X.: Graph search with appearance and shape information for 3-D prostate and bladder segmentation. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010. LNCS, vol. 6363, pp. 172-180. Springer, Heidelberg (2010)
11. Wu, X., Chen, D.Z.: Optimal net surface problems with applications. In: Widmayer, P., Triguero, F., Morales, R., Hennessy, M., Eidenbenz, S., Conejo, R. (eds.) ICALP 2002. LNCS, vol. 2380, pp. 1029-1042. Springer, Heidelberg (2002)
12. Boykov, Y., Funka-Lea, G.: Graph cuts and efficient N-D image segmentation. IJCV 70(2), 109-131 (2006)
13. Yin, Y., Zhang, X., Williams, R., Wu, X., Anderson, D., Sonka, M.: LOGISMOS - Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces: Cartilage segmentation in the knee joints. IEEE Trans. Medical Imaging 29(12), 2023 (2010)