Automated computer-aided detection of prostate cancer in MR images: From a whole-organ to a zone-based approach

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 8315, Issue , 2012, Pages

  Litjens, G J S ^a   Barentsz, J O ^a   Karssemeijer, N ^a   Huisman, H J ^a  

^a RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Computer aided detection; MRI; Prostate cancer; Zone specific

Indexed keywords

ATLAS-BASED SEGMENTATION; BETTER PERFORMANCE; CLINICAL PRACTICES; COMPUTER AIDED DETECTION; FREE-RESPONSE RECEIVERS; PROSTATE CANCERS; STATISTICAL EVALUATION; ZONE-SPECIFIC;

DISEASES; MAGNETIC RESONANCE IMAGING; MAMMOGRAPHY; MEDICAL IMAGING; UROLOGY;

COMPUTER AIDED DIAGNOSIS;

EID: 84874840017     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.911061     Document Type: Conference Paper

References (18)

1. Jemal, A., Siegel, R., Xu, J., and Ward, E., "Cancer statistics, 2010," CA Cancer J Clin 60, 277-300 (2010).
2. Tanimoto, A., Nakashima, J., Kohno, H., Shinmoto, H., and Kuribayashi, S., "Prostate cancer screening: the clinical value of diffusion-weighted imaging and dynamic MR imaging in combination with T2-weighted imaging," J Magn Reson Imaging 25(1), 146-152 (2007).
3. Kitajima, K., Kaji, Y., Fukabori, Y., Yoshida, K., Suganuma, N., and Sugimura, K., "Prostate cancer detection with 3 T MRI: comparison of diffusion-weighted imaging and dynamic contrast-enhanced MRI in combination with T2-weighted imaging," J Magn Reson Imaging 31(3), 625-631 (2010).
4. Lim, H. K., Kim, J. K., Kim, K. A., and Cho, K.-S., "Prostate cancer: apparent diffusion coefficient map with T2-weighted images for detection-a multireader study.," Radiology 250(1), 145-151 (2009).
5. Langer, D. L., van der Kwast, T. H., Evans, A. J., Trachtenberg, J., Wilson, B. C., and Haider, M. A., "Prostate cancer detection with multi-parametric MRI: logistic regression analysis of quantitative T2, diffusion-weighted imaging, and dynamic contrast-enhanced MRI.," J Magn Reson Imaging 30(2), 327-334 (2009).
6. Artan, Y., Haider, M. A., Langer, D. L., van der Kwast, T. H., Evans, A. J., Yang, Y., Wernick, M. N., Trachtenberg, J., and Yetik, I. S., "Prostate cancer localization with multispectral mri using cost-sensitive support vector machines and conditional random fields.," IEEE Trans Image Process 19(9), 2444-2455 (2010).
7. Vos, P. C., Hambrock, T., Barenstz, J. O., and Huisman, H. J., "Computer-assisted analysis of peripheral zone prostate lesions using t2-weighted and dynamic contrast enhanced t1-weighted mri," Phys Med Biol 55(6), 1719-1734 (2010).
8. Heijmink, S. W. T. P. J., Futterer, J. J., Strum, S. S., Oyen, W. J. G., Frauscher, F., Witjes, J. A., and Barentsz, J. O., "State-of-the-art uroradiologic imaging in the diagnosis of prostate cancer," Acta Oncol 50 Suppl 1, 25-38 (2011).
9. Hoeks, C. M. A., Barentsz, J. O., Hambrock, T., Yakar, D., Somford, D. M., Heijmink, S. W. T. P. J., Scheenen, T.W. J., Vos, P. C., Huisman, H., van Oort, I. M., Witjes, J. A., Heerschap, A., and Futterer, J. J., "Prostate cancer: Multiparametric MR imaging for detection, localization, and staging," Radiology 261(1), 46-66 (2011).
10. Amadasun, M. and King, R., "Textural features corresponding to textural properties," IEEE Trans Syst Man Cybern 19(5), 1264-1274 (1989).
11. Li, H., Giger, M. L., Olopade, O. I., Margolis, A., Lan, L., and Chinander, M. R., "Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms.," Acad Radiol 12(7), 863-873 (2005).
12. Lindeberg, T., "Feature detection with automatic scale selection," Int J Comput Vis 30(2), 79-116 (1998).
13. Klein, S., van der Heide, U. A., Lips, I. M., van Vulpen, M., Staring, M., and Pluim, J. P. W., "Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information," Med Phys 35(4), 1407-1417 (2008).
14. Huisman, H. J., Engelbrecht, M. R., and Barentsz, J. O., "Accurate estimation of pharmacokinetic contrastenhanced dynamic MRI parameters of the prostate," J Magn Reson Imaging 13(4), 607-614 (2001).
15. Vos, P. C., Hambrock, T., Barentsz, J. O., and Huisman, H. J., "Automated calibration for computerized analysis of prostate lesions using pharmacokinetic magnetic resonance images," in [Med Image Comput Comput Assist Interv], Lect Notes Comput Sci 12, 836-843 (2009).
16. Moltz, J. H., Bornemann, L., Kuhnigk, J.-M., Dicken, V., Peitgen, E., Meier, S., Bolte, H., Fabel, M., Bauknecht, H.-C., Hittinger, M., Kiessling, A., Pusken, M., and Peitgen, H.-O., "Advanced segmentation techniques for lung nodules, liver metastases, and enlarged lymph nodes in CT scans," IEEE J Sel Top Signal Process 3, 122-134 (2009).
17. Chakraborty, D. P., "Maximum likelihood analysis of free-response receiver operating characteristic (froc) data," Med Phys 16(4), 561-568 (1989).
18. Pudil, P., Novovicova, J., and Kittler, J., "Floating search methods in feature selection," Pattern Recognition Letters 15(11), 1119-1125 (1994).