Determining Histology-MRI Slice Correspondences for Mapping Prostate Cancer Extent In Vivo

Gaoyu Xiao¹, B. Nicolas Bloch², Jonathan Chappelow¹, Elizabeth Genega³, Neil Rofsky³, Robert Lenkinski³, John Tomaszewski⁴, Michael Feldman⁴, Mark Rosen⁴, Arjun Kalyanpur⁵, Anant Madabhushi¹

We present an automated computerized system to automatically determine slice correspondence between images from histology and MRI for the purpose of mapping spatial prostate cancer extent from wholemount histology slices to their corresponding in vivo T2 MRI slices. The mapping of prostate cancer extent is important in constructing computer-aided-diagnosis system and training radiology residents. The explicit determination of the histology-MRI slice correspondences is indispensable when an accurate 3D reconstruction of the histological volume cannot be achieved because of limited tissue slices with unknown inter-slice spacing, and histological image. The image slice correspondences obtained using our method were very close to the ground truth by medical experts.