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.
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.