Segmentation and surface reconstruction model of prostate MRI to improve prostate cancer diagnosis

This work presents a MRI prostate segmentation and surface reconstruction model that facilities the validation of multiparametric MRI with histopathology slides from radical prostatectomy specimens and targeted biopsy specimens. Application of this technique combines image processing and computer aided design to provide a generalized solution to construct a high resolution 3D prostate surface from MRI images in three orthogonal views with non-isotropic voxel resolution. The performance of the segmentation is evaluated with 45 MR image datasets, yielding an average segmentation accuracy of 90%.