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Deformable image registration between pathological images and MR image via an optical macro image

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 prov...

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Autores principales: Ohnishi, Takashi, Nakamura, Yuka, Tanaka, Toru, Tanaka, Takuya, Hashimoto, Noriaki, Haneishi, Hideaki, Batchelor, Tracy T., Gerstner, Elizabeth R., Taylor, Jennie W., Snuderl, Matija, Yagi, Yukako
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5097673/
https://www.ncbi.nlm.nih.gov/pubmed/27613662
http://dx.doi.org/10.1016/j.prp.2016.07.018
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author Ohnishi, Takashi
Nakamura, Yuka
Tanaka, Toru
Tanaka, Takuya
Hashimoto, Noriaki
Haneishi, Hideaki
Batchelor, Tracy T.
Gerstner, Elizabeth R.
Taylor, Jennie W.
Snuderl, Matija
Yagi, Yukako
author_facet Ohnishi, Takashi
Nakamura, Yuka
Tanaka, Toru
Tanaka, Takuya
Hashimoto, Noriaki
Haneishi, Hideaki
Batchelor, Tracy T.
Gerstner, Elizabeth R.
Taylor, Jennie W.
Snuderl, Matija
Yagi, Yukako
author_sort Ohnishi, Takashi
collection PubMed
description 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 ± 0.39 mm and 0.87 ± 0.42 mm. We can analyze the relationship between tissue information and MR signals using the proposed method.
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spelling pubmed-50976732016-11-05 Deformable image registration between pathological images and MR image via an optical macro image Ohnishi, Takashi Nakamura, Yuka Tanaka, Toru Tanaka, Takuya Hashimoto, Noriaki Haneishi, Hideaki Batchelor, Tracy T. Gerstner, Elizabeth R. Taylor, Jennie W. Snuderl, Matija Yagi, Yukako Pathol Res Pract Article 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 ± 0.39 mm and 0.87 ± 0.42 mm. We can analyze the relationship between tissue information and MR signals using the proposed method. 2016-08-02 2016-10 /pmc/articles/PMC5097673/ /pubmed/27613662 http://dx.doi.org/10.1016/j.prp.2016.07.018 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Ohnishi, Takashi
Nakamura, Yuka
Tanaka, Toru
Tanaka, Takuya
Hashimoto, Noriaki
Haneishi, Hideaki
Batchelor, Tracy T.
Gerstner, Elizabeth R.
Taylor, Jennie W.
Snuderl, Matija
Yagi, Yukako
Deformable image registration between pathological images and MR image via an optical macro image
title Deformable image registration between pathological images and MR image via an optical macro image
title_full Deformable image registration between pathological images and MR image via an optical macro image
title_fullStr Deformable image registration between pathological images and MR image via an optical macro image
title_full_unstemmed Deformable image registration between pathological images and MR image via an optical macro image
title_short Deformable image registration between pathological images and MR image via an optical macro image
title_sort deformable image registration between pathological images and mr image via an optical macro image
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5097673/
https://www.ncbi.nlm.nih.gov/pubmed/27613662
http://dx.doi.org/10.1016/j.prp.2016.07.018
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