Phillips RZakkaroff CDittmer KRobilliard NBaer KButler A2025-03-122025-03-122025-02-26Phillips R, Zakkaroff C, Dittmer K, Robilliard N, Baer K, Butler A. (2025). A Proof-of-Concept Solution for Co-locating 2D Histology Images in 3D for Histology-to-CT and MR Image Registration: Closing the Loop for Bone Sarcoma Treatment Planning.. J Imaging Inform Med.https://mro.massey.ac.nz/handle/10179/72618This work presents a proof-of-concept solution designed to facilitate more accurate radiographic feature characterisation in pre-surgical CT/MR volumes. The solution involves 3D co-location of 2D digital histology slides within ex-vivo, tumour tissue CT volumes. Initially, laboratory dissection measurements seed the placement of histology slices in corresponding CT volumes, followed by in-plane point-based registration of bone in histology images to the bone in CT. Validation using six bisected canine humerus ex-vivo CT datasets indicated a plane misalignment of 0.19 ± 1.8 mm. User input sensitivity was assessed at 0.08 ± 0.2 mm for plane translation and 0-1.6° deviation. These results show a similar magnitude of error to related prostate histology co-location work. Although demonstrated with a femoral canine sarcoma tumour, this solution can be generalised to various orthopaedic geometries and sites. It supports high-fidelity histology image co-location to improve understanding of tissue characterisation accuracy in clinical radiology. This solution requires only minimal adjustment to routine workflows. By integrating histology insights earlier in the presentation-diagnosis-planning-surgery-recovery loop, this solution guides data co-location to support the continued evaluation of safe pre-surgical margins.(c) 2025 The Author/sCC BY 4.0https://creativecommons.org/licenses/by/4.0/Histopathology digitisationOrthopaedic oncologyPatient-specific treatmentRadiopathologyTranslational researchJournal article10.1007/s10278-025-01426-52948-2933journal-articlehttps://www.ncbi.nlm.nih.gov/pubmed/4001134610.1007/s10278-025-01426-5