Volume-based features for detection of bladder wall abnormal regions via MR cystography

IEEE Transactions on Biomedical Engineering

Volumn 58, Issue 9, 2011, Pages 2506-2512

  Duan, Chaijie ^a   Yuan, Kehong ^a   Liu, Fanghua ^a   Xiao, Ping ^b   Lv, Guoqing ^b   Liang, Zhengrong ^c  

^a TSINGHUA UNIVERSITY   (China)

^b PEKING UNIVERSITY SHENZHEN HOSPITAL   (China)

^c STONY BROOK UNIVERSITY   (United States)

Author keywords

bent rate (BR); Bladder wall thickness; magnetic resonance (MR) cystography; tumor detection; weighted bent rate (WBR)

Indexed keywords

BENT RATE (BR); BLADDER TUMOR; BLADDER WALL; CLINICAL ANALYSIS; COMPUTED TOMOGRAPHY; CYSTOGRAPHY; DATA SETS; GEOMETRY PROPERTIES; IMAGE CONTRASTS; MR IMAGES; OVERLAP RATE; PATH LENGTH; SURFACE RENDERING; TEXTURE INFORMATION; TUMOR DETECTION; WALL THICKNESS; WEIGHTED BENT RATE (WBR);

COMPUTERIZED TOMOGRAPHY; MEDICAL COMPUTING; NONINVASIVE MEDICAL PROCEDURES; THREE DIMENSIONAL; TOMOGRAPHY; TUMORS;

MAGNETIC RESONANCE;

ARTICLE; BLADDER CAPACITY; BLADDER TUMOR; BLADDER WALL; COMPUTER ASSISTED DIAGNOSIS; CYSTOGRAPHY; CYSTOSCOPY; GEOMETRY; HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; THICKNESS; THREE DIMENSIONAL IMAGING; VOXEL BASED MORPHOMETRY;

ALGORITHMS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; STATIC ELECTRICITY; URINARY BLADDER; URINARY BLADDER NEOPLASMS;

EID: 80052042817     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2011.2158541     Document Type: Article

References (16)

1. Overview: Bladder Cancer, from American Cancer Society web site: www.cancer.org, 2010.
2. D. L. Lamm and F. M. Torti, "Bladder cancer," A Cancer J. Clinicians, vol. 46, pp. 93-112, 1996.
3. L. Li, Z. Wang, D. Harrington, W. Huang, and Z. Liang, "A mixture-based computer aided detection system for virtual cystoscopy," in Proc. Int. Soc. Magn. Reson. Med., 2003, vol. 1, p. 146.
4. J. R. Fielding, L. Hoyte, S. A. Okon, A. Schreyer, J. Lee, K. H. Zou, S. Warfield, J. P. Richie, K. R. Loughlin, M. P. O'Leary, C. J. Doyle, and R. Kikinis, "Tumor detection by virtual cystoscopy with color mapping of bladder wall thickness," J. Urol., vol. 167, pp. 559-562, 2002. (Pubitemid 34074527)
5. S. Jaume, M. Ferrant, B. Macq, L. Hoyte, J. R. Fielding, A. Schreyer, R. Kikinis, and S. K. Warfield, "Tumor detection in the bladder wall with a measurement of abnormal thickness in CT scans," IEEE Trans. Biomed. Eng., vol. 50, no. 3, pp. 383-390, Mar. 2003. (Pubitemid 36331680)
6. H. Zhu, C. Duan, R. Jiang, L. Li, Y. Fan, X. Yu, W. Zeng, X. Gu, and Z. Liang, "Computer-aided detection of bladder tumors based on the thickness mapping of bladder wall in MR images," Proc. SPIE Med. Imag.,in CD-ROM, 2010.
7. Z. Wu, Z. Shi, G. Zhang, and H. Lu, "Detection of the invasion of bladder tumor into adjacent wall base on textural features extracted from MRI images," in Proc. 13th Int. Conf. Med. Image Comput. Comput. Assisted Intervention, 2010, pp. 89-96.
8. Z. Liang, D. Chen, T. Button, H. Li, and W. Huang, "Feasibility studies on extracting bladder wall from MR images for virtual cystoscopy," in Proc. Int. Soc. Magn. Reson. Med., 1999, vol. 3, p. 2204.
9. D. Chen, B. Li, W. Huang, and Z. Liang, "A multi-scan MRI-based virtual cystoscopy," Proc. SPIE Med. Imag., vol. 3978, pp. 146-152, 2000.
10. M. Lämmle, A. Beer, M. Settles, C. Hannig, H. Schwaibold, and C. Drews, "Reliability of MR imaging-based virtual cystoscopy in the diagnosis of cancer of the urinary bladder," Amer. J. Roentgenol., vol. 178, pp. 1483-1488, 2002. (Pubitemid 34547837)
11. C. Duan, Z. Liang, S. Bao, H. Zhu, S. Wang, G. Zhang, J. Chen, and H. Lu, "A coupled level set framework for bladder wall segmentation with application to MR cystography," IEEE Trans. Med. Imag., vol. 29, no. 3, pp. 903-915, Mar. 2010.
12. S. Osher and J. Sethian, "Fronts propagating with curvature dependent speed: algorithms based on Hamilton-Jacobi formulation," J. Comput. Phys., vol. 79, pp. 12-49, 1988.
13. T. F. Chan and L. A. Vese, "Active contours without edges," IEEE Trans. Image Process., vol. 10, no. 2, pp. 266-277, Feb. 2001. (Pubitemid 32254596)
14. L. A. Vese and T. F. Chan, "A multiphase level set framework for image segmentation using the Mumford and Shah model," Int. J. Comput. Vision, vol. 50, no. 3, pp. 271-293, 2002. (Pubitemid 35377416)
15. L. Li, Z. Wang, X. Li, X. Wei, H. Adler, W. Huang, S. Rizvi, H. Meng, D. Harrington, and Z. Liang, "A new partial volume segmentation approach to extract bladder wall for computer aided detection in virtual cystoscopy," Proc. SPIE Med. Imag., vol. 5369, pp. 199-206, 2004.
16. L. Li, Z. Liang, S. Wang, H. Lu, M. Wagshul, M. Zawin, E. Posniak, and C. Lee, "Segmentation of multi-spectral bladder MR images with inhomogeneity correction for virtual cystoscopy," Proc. SPIE Med. Imag., [CD-ROM], vol. 6916, pp. 69160U-1-69160U-5, 2008.