title: Slice correspondence estimation using SURF descriptors and context-based search for prostate whole-mount histology MRI registration.
abstract: Registration of histopathology volumes to Magnetic Resonance Images(MRI) is a crucial step for finding correlations in Prostate Cancer (PCa) and assessing tumor agressivity. This paper proposes a two-stage framework aimed at registering both modalities. Firstly, Speeded-Up Robust Features (SURF) algorithm and a context-based search is used to automatically determine slice correspondences between MRI and histology volumes. This step initializes a multimodal nonrigid registration strategy, which allows to propagate histology slices to MRI. Evaluation was performed on 5 prospective studies using a slice index score and landmark distances. With respect to a manual ground truth, the first stage of the framework exhibited an average error of 1,54 slice index and 3,51 mm in the prostate specimen. The reconstruction of a three-dimensional Whole-Mount Histology (WMH) shows promising results aimed to perform later PCa pattern detection and staging.
authors.forename: Lina
authors.initials: L
authors.lastname: Guzman
authors.forename: Frederic
authors.initials: F
authors.lastname: Commandeur
authors.forename: Oscar
authors.initials: O
authors.lastname: Acosta
authors.forename: Antoine
authors.initials: A
authors.lastname: Simon
authors.forename: Alain
authors.initials: A
authors.lastname: Fautrel
authors.forename: Nathalie
authors.initials: N
authors.lastname: Rioux-Leclercq
authors.forename: Eduardo
authors.initials: E
authors.lastname: Romero
authors.forename: Romain
authors.initials: R
authors.lastname: Mathieu
authors.forename: Renaud
authors.initials: R
authors.lastname: de Crevoisier
mesh_terms: D000465:Algorithms; D006652:Histological Techniques; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D011446:Prospective Studies; D011467:Prostate / Q000000981:diagnostic imaging*; D011471:Prostatic Neoplasms / Q000000981:diagnostic imaging*