ArticlePathology, research and practice2016
Deformable image registration between pathological images and MR image via an optical macro image.
Article in Pathology, research and practice, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Precise MRI-Histology Coregistration of Paraffin-Embedded Tissue with Blockface Imaging.bioRxiv : the preprint server for biology · 2025Article
- Precise MRI-histology coregistration of paraffin-embedded tissue with blockface imaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Three-dimensional histology reveals dissociable human hippocampal long-axis gradients of Alzheimer's pathology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Three-dimensional histology reveals dissociable human hippocampal long axis gradients of Alzheimer's pathology.bioRxiv : the preprint server for biology · 2023Article
- Multiparametric magnetic resonance imaging for radiation therapy response monitoring in soft tissue sarcomas: a histology and MRI co-registration algorithm.Theranostics · 2023Article
- Tensor image registration library: Deformable registration of stand-alone histology images to whole-brain post-mortem MRI data.NeuroImage · 2023Article
- Article
- Micro-computed tomography utility for estimation of intraparenchymal spinal cord cystic lesions in small animals.Neural regeneration research · 2021Article
- Elastic transformation of histological slices allows precise co-registration with microCT data sets for a refined virtual histology approach.Scientific reports · 2021Article
- DeepMapi: a Fully Automatic Registration Method for Mesoscopic Optical Brain Images Using Convolutional Neural Networks.Neuroinformatics · 2021Article
- A Robust Image Registration Interface for Large Volume Brain Atlas.Scientific reports · 2020Article
- Co-Registration of ex vivo Surgical Histopathology and in vivo T2 weighted MRI of the Prostate via multi-scale spectral embedding representation.Scientific reports · 2017Article
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Authors and funding
11 authors.
Funding
Abstract
Computed tomography (CT) and magnetic resonance (MR) imaging have been widely used for visualizing the inside of the human body. However, in many cases, pathological diagnosis is conducted through a biopsy or resection of an organ to evaluate the condition of tissues as definitive diagnosis. To provide more advanced information onto CT or MR image, it is necessary to reveal the relationship between tissue information and image signals. We propose a registration scheme for a set of PT images of divided specimens and a 3D-MR image by reference to an optical macro image (OM image) captured by an optical camera. We conducted a fundamental study using a resected human brain after the death of a brain cancer patient. We constructed two kinds of registration processes using the OM image as the base for both registrations to make conversion parameters between the PT and MR images. The aligned PT images had shapes similar to the OM image. On the other hand, the extracted cross-sectional MR image was similar to the OM image. From these resultant conversion parameters, the corresponding region on the PT image could be searched and displayed when an arbitrary pixel on the MR image was selected. The relationship between the PT and MR images of the whole brain can be analyzed using the proposed method. We confirmed that same regions between the PT and MR images could be searched and displayed using resultant information obtained by the proposed method. In terms of the accuracy of proposed method, the TREs were 0.56±0.39mm and 0.87±0.42mm. We can analyze the relationship between tissue information and MR signals using the proposed method.
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