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Abstract #2645

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

1Rutgers University, Piscataway, NJ, United States; 2Boston Medical Center, MA, USA; 3Beth Israel Deaconess Medical Center, MA, USA; 4University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, USA.; 5Teleradiology Solutions Pvt. Ltd. Whitefield, Bangalore, 560048, India

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.