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Photoacoustic-MR Image Registration Based on a Co-Sparse Analysis Model to Compensate for Brain Shift
Brain shift is an important obstacle to the application of image guidance during neurosurgical interventions. There has been a growing interest in intra-operative imaging to update the image-guided surgery systems. However, due to the innate limitations of the current imaging modalities, accurate br...
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/PMC8954240/ https://www.ncbi.nlm.nih.gov/pubmed/35336570 http://dx.doi.org/10.3390/s22062399 |
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author | Farnia, Parastoo Makkiabadi, Bahador Alimohamadi, Maysam Najafzadeh, Ebrahim Basij, Maryam Yan, Yan Mehrmohammadi, Mohammad Ahmadian, Alireza |
author_facet | Farnia, Parastoo Makkiabadi, Bahador Alimohamadi, Maysam Najafzadeh, Ebrahim Basij, Maryam Yan, Yan Mehrmohammadi, Mohammad Ahmadian, Alireza |
author_sort | Farnia, Parastoo |
collection | PubMed |
description | Brain shift is an important obstacle to the application of image guidance during neurosurgical interventions. There has been a growing interest in intra-operative imaging to update the image-guided surgery systems. However, due to the innate limitations of the current imaging modalities, accurate brain shift compensation continues to be a challenging task. In this study, the application of intra-operative photoacoustic imaging and registration of the intra-operative photoacoustic with pre-operative MR images are proposed to compensate for brain deformation. Finding a satisfactory registration method is challenging due to the unpredictable nature of brain deformation. In this study, the co-sparse analysis model is proposed for photoacoustic-MR image registration, which can capture the interdependency of the two modalities. The proposed algorithm works based on the minimization of mapping transform via a pair of analysis operators that are learned by the alternating direction method of multipliers. The method was evaluated using an experimental phantom and ex vivo data obtained from a mouse brain. The results of the phantom data show about 63% improvement in target registration error in comparison with the commonly used normalized mutual information method. The results proved that intra-operative photoacoustic images could become a promising tool when the brain shift invalidates pre-operative MRI. |
format | Online Article Text |
id | pubmed-8954240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89542402022-03-26 Photoacoustic-MR Image Registration Based on a Co-Sparse Analysis Model to Compensate for Brain Shift Farnia, Parastoo Makkiabadi, Bahador Alimohamadi, Maysam Najafzadeh, Ebrahim Basij, Maryam Yan, Yan Mehrmohammadi, Mohammad Ahmadian, Alireza Sensors (Basel) Article Brain shift is an important obstacle to the application of image guidance during neurosurgical interventions. There has been a growing interest in intra-operative imaging to update the image-guided surgery systems. However, due to the innate limitations of the current imaging modalities, accurate brain shift compensation continues to be a challenging task. In this study, the application of intra-operative photoacoustic imaging and registration of the intra-operative photoacoustic with pre-operative MR images are proposed to compensate for brain deformation. Finding a satisfactory registration method is challenging due to the unpredictable nature of brain deformation. In this study, the co-sparse analysis model is proposed for photoacoustic-MR image registration, which can capture the interdependency of the two modalities. The proposed algorithm works based on the minimization of mapping transform via a pair of analysis operators that are learned by the alternating direction method of multipliers. The method was evaluated using an experimental phantom and ex vivo data obtained from a mouse brain. The results of the phantom data show about 63% improvement in target registration error in comparison with the commonly used normalized mutual information method. The results proved that intra-operative photoacoustic images could become a promising tool when the brain shift invalidates pre-operative MRI. MDPI 2022-03-21 /pmc/articles/PMC8954240/ /pubmed/35336570 http://dx.doi.org/10.3390/s22062399 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 Farnia, Parastoo Makkiabadi, Bahador Alimohamadi, Maysam Najafzadeh, Ebrahim Basij, Maryam Yan, Yan Mehrmohammadi, Mohammad Ahmadian, Alireza Photoacoustic-MR Image Registration Based on a Co-Sparse Analysis Model to Compensate for Brain Shift |
title | Photoacoustic-MR Image Registration Based on a Co-Sparse Analysis Model to Compensate for Brain Shift |
title_full | Photoacoustic-MR Image Registration Based on a Co-Sparse Analysis Model to Compensate for Brain Shift |
title_fullStr | Photoacoustic-MR Image Registration Based on a Co-Sparse Analysis Model to Compensate for Brain Shift |
title_full_unstemmed | Photoacoustic-MR Image Registration Based on a Co-Sparse Analysis Model to Compensate for Brain Shift |
title_short | Photoacoustic-MR Image Registration Based on a Co-Sparse Analysis Model to Compensate for Brain Shift |
title_sort | photoacoustic-mr image registration based on a co-sparse analysis model to compensate for brain shift |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954240/ https://www.ncbi.nlm.nih.gov/pubmed/35336570 http://dx.doi.org/10.3390/s22062399 |
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