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Challenges and Practical Solutions to MRI and Histology Matching and Measurements Using Available ImageJ Software Tools
Traditionally histology is the gold standard for the validation of imaging experiments. Matching imaging slices and histological sections and the precise outlining of corresponding tissue structures are difficult. Challenges are based on differences in imaging and histological slice thickness as wel...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313422/ https://www.ncbi.nlm.nih.gov/pubmed/35884861 http://dx.doi.org/10.3390/biomedicines10071556 |
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author | Khodanovich, Marina Y. Anan’ina, Tatyana V. Krutenkova, Elena P. Akulov, Andrey E. Kudabaeva, Marina S. Svetlik, Mikhail V. Tumentceva, Yana A. Shadrina, Maria M. Naumova, Anna V. |
author_facet | Khodanovich, Marina Y. Anan’ina, Tatyana V. Krutenkova, Elena P. Akulov, Andrey E. Kudabaeva, Marina S. Svetlik, Mikhail V. Tumentceva, Yana A. Shadrina, Maria M. Naumova, Anna V. |
author_sort | Khodanovich, Marina Y. |
collection | PubMed |
description | Traditionally histology is the gold standard for the validation of imaging experiments. Matching imaging slices and histological sections and the precise outlining of corresponding tissue structures are difficult. Challenges are based on differences in imaging and histological slice thickness as well as tissue shrinkage and alterations after processing. Here we describe step-by-step instructions that might be used as a universal pathway to overlay MRI and histological images and for a correlation of measurements between imaging modalities. The free available (Fiji is just) ImageJ software tools were used for regions of interest transformation (ROIT) and alignment using a rat brain MRI as an example. The developed ROIT procedure was compared to a manual delineation of rat brain structures. The ROIT plugin was developed for ImageJ to enable an automatization of the image processing and structural analysis of the rodent brain. |
format | Online Article Text |
id | pubmed-9313422 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93134222022-07-26 Challenges and Practical Solutions to MRI and Histology Matching and Measurements Using Available ImageJ Software Tools Khodanovich, Marina Y. Anan’ina, Tatyana V. Krutenkova, Elena P. Akulov, Andrey E. Kudabaeva, Marina S. Svetlik, Mikhail V. Tumentceva, Yana A. Shadrina, Maria M. Naumova, Anna V. Biomedicines Article Traditionally histology is the gold standard for the validation of imaging experiments. Matching imaging slices and histological sections and the precise outlining of corresponding tissue structures are difficult. Challenges are based on differences in imaging and histological slice thickness as well as tissue shrinkage and alterations after processing. Here we describe step-by-step instructions that might be used as a universal pathway to overlay MRI and histological images and for a correlation of measurements between imaging modalities. The free available (Fiji is just) ImageJ software tools were used for regions of interest transformation (ROIT) and alignment using a rat brain MRI as an example. The developed ROIT procedure was compared to a manual delineation of rat brain structures. The ROIT plugin was developed for ImageJ to enable an automatization of the image processing and structural analysis of the rodent brain. MDPI 2022-06-30 /pmc/articles/PMC9313422/ /pubmed/35884861 http://dx.doi.org/10.3390/biomedicines10071556 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Khodanovich, Marina Y. Anan’ina, Tatyana V. Krutenkova, Elena P. Akulov, Andrey E. Kudabaeva, Marina S. Svetlik, Mikhail V. Tumentceva, Yana A. Shadrina, Maria M. Naumova, Anna V. Challenges and Practical Solutions to MRI and Histology Matching and Measurements Using Available ImageJ Software Tools |
title | Challenges and Practical Solutions to MRI and Histology Matching and Measurements Using Available ImageJ Software Tools |
title_full | Challenges and Practical Solutions to MRI and Histology Matching and Measurements Using Available ImageJ Software Tools |
title_fullStr | Challenges and Practical Solutions to MRI and Histology Matching and Measurements Using Available ImageJ Software Tools |
title_full_unstemmed | Challenges and Practical Solutions to MRI and Histology Matching and Measurements Using Available ImageJ Software Tools |
title_short | Challenges and Practical Solutions to MRI and Histology Matching and Measurements Using Available ImageJ Software Tools |
title_sort | challenges and practical solutions to mri and histology matching and measurements using available imagej software tools |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313422/ https://www.ncbi.nlm.nih.gov/pubmed/35884861 http://dx.doi.org/10.3390/biomedicines10071556 |
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