yet to supplant biopsy which is still required to confirm the presence and aggressiveness of prostate cancer [@barentsz_synopsis_2016].

In men diagnosed with prostate cancer on biopsy, radical prostatectomy remains the most common treatment [@cooperberg_trends_2015]. The resected prostate provides a unique opportunity to correlate pre-surgical MRI with digitized histopathology images and map the exact extent of cancer from histopathology images onto MRI. Developing a large dataset of prostatectomy cases where cancer and Gleason grade is accurately mapped on MRI has two potentially transformative applications. First is helping to improve existing MRI interpretation schemes that are still affected by many false positive and false negative findings. Second, it may facilitate the development of machine learning methods to identify prostate cancer on MRI by accurately labeling of cancer for model training and validation.

[|m[0.8in]{}|m[0.5in]{}|m[1.70in]{}|m[1.2in]{}|m[0.6in]{}|m[0.8in]{}|]{} Publication & Subject \# & Approach & Additional Input & Dice Coef. & Landmark Error (mm)\
Park 2008 [@park_registration_2008] & 2& 3D reconstruction + affine and TPS registration & block face picture, ex vivo MRI & NA & 3-3.74\
Chappelow 2011[@chappelow_elastic_2011] & 25 & Feature Based Mutual Information + BSpline & - & NA & NA\
Ward 2012 [@ward_prostate:_2012] & 13 & 2D Affine + TPS Registration & Strand-shaped 