Computerized Detection of Prostate Cancer in Multi-Parametric MRI

Prostate cancer is the most commonly diagnosed malignancy and the second leading cause of cancer death among men in the Netherlands. Due to the shortcomings of the current diagnostic pathway for prostate cancer, especially with respect to assessing cancer aggressiveness, alternative strategies are being investigated. Magnetic resonance imaging (MRI) has emerged as an important modality to assist and potentially replace (part of) the current diagnostic pathway. The high complexity of prostate MRI and the lack of sufficient expertise among the radiological community at large has opened the door for (semi-)automated analysis of prostate MRI by computer systems, with or without human intervention.

Transversal slide through the prosate in a T2-weighted MRI sequence.

Within this project such as system was developed and evaluated. It consisted of several key components: segmentation of the prostate gland in MRI, discovering cancer-specific features, system development and evaluation. The results were reported through a number of publications which are listed below and summarized in my PhD Thesis.

Publications

. A multi-atlas approach for prostate segmentation in MRI. in: MICCAI Workshop: Prostate Cancer Imaging: The PROMISE12 Prostate Segmentation Challenge, 2012.

PDF Project

. A pattern recognition approach to zonal segmentation of the prostate on MRI. in: Med Image Comput Comput Assist Interv, volume 7511 of the Lect Notes Comput Sci, 2012.

PDF Project DOI

Talks

The layman’s presentation on my PhD research on computerize detection of prostate cancer in multi-paramteric MRI.