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Multimodal image registration for liver radioembolization planning and patient assessment
PURPOSE: Multimodal imaging plays a key role in patient assessment and treatment planning in liver radioembolization. It will reach its full potential for convenient use in combination with deformable image registration methods. A registration framework is proposed for multimodal liver image registr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373337/ https://www.ncbi.nlm.nih.gov/pubmed/30349976 http://dx.doi.org/10.1007/s11548-018-1877-5 |
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author | Spahr, Nadine Thoduka, Smita Abolmaali, Nasreddin Kikinis, Ron Schenk, Andrea |
author_facet | Spahr, Nadine Thoduka, Smita Abolmaali, Nasreddin Kikinis, Ron Schenk, Andrea |
author_sort | Spahr, Nadine |
collection | PubMed |
description | PURPOSE: Multimodal imaging plays a key role in patient assessment and treatment planning in liver radioembolization. It will reach its full potential for convenient use in combination with deformable image registration methods. A registration framework is proposed for multimodal liver image registration of multi-phase CT, contrast-enhanced late-phase T1, T2, and DWI MRI sequences. METHODS: A chain of four pair-wise image registrations based on a variational registration framework using normalized gradient fields as distance measure and curvature regularization is introduced. A total of 103 cases of 35 patients was evaluated based on anatomical landmarks and deformation characteristics. RESULTS: Good anatomical correspondence and physical plausibility of the deformation fields were attained. The global mean landmark errors vary from 3.20 to 5.36 mm, strongly influenced by low resolved images in z-direction. Moderate volume changes are indicated by mean minimum and maximum Jacobian determinants of 0.44 up to 1.88. No deformation foldings were detected. The mean average divergence of the deformation fields range from 0.08 to 0.16 and the mean harmonic energies vary from 0.08 to 0.58. CONCLUSION: The proposed registration solutions enable the combined use of information from multimodal imaging and provide an excellent basis for patient assessment and primary planning for liver radioembolization. |
format | Online Article Text |
id | pubmed-6373337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-63733372019-03-01 Multimodal image registration for liver radioembolization planning and patient assessment Spahr, Nadine Thoduka, Smita Abolmaali, Nasreddin Kikinis, Ron Schenk, Andrea Int J Comput Assist Radiol Surg Original Article PURPOSE: Multimodal imaging plays a key role in patient assessment and treatment planning in liver radioembolization. It will reach its full potential for convenient use in combination with deformable image registration methods. A registration framework is proposed for multimodal liver image registration of multi-phase CT, contrast-enhanced late-phase T1, T2, and DWI MRI sequences. METHODS: A chain of four pair-wise image registrations based on a variational registration framework using normalized gradient fields as distance measure and curvature regularization is introduced. A total of 103 cases of 35 patients was evaluated based on anatomical landmarks and deformation characteristics. RESULTS: Good anatomical correspondence and physical plausibility of the deformation fields were attained. The global mean landmark errors vary from 3.20 to 5.36 mm, strongly influenced by low resolved images in z-direction. Moderate volume changes are indicated by mean minimum and maximum Jacobian determinants of 0.44 up to 1.88. No deformation foldings were detected. The mean average divergence of the deformation fields range from 0.08 to 0.16 and the mean harmonic energies vary from 0.08 to 0.58. CONCLUSION: The proposed registration solutions enable the combined use of information from multimodal imaging and provide an excellent basis for patient assessment and primary planning for liver radioembolization. Springer International Publishing 2018-10-22 2019 /pmc/articles/PMC6373337/ /pubmed/30349976 http://dx.doi.org/10.1007/s11548-018-1877-5 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Spahr, Nadine Thoduka, Smita Abolmaali, Nasreddin Kikinis, Ron Schenk, Andrea Multimodal image registration for liver radioembolization planning and patient assessment |
title | Multimodal image registration for liver radioembolization planning and patient assessment |
title_full | Multimodal image registration for liver radioembolization planning and patient assessment |
title_fullStr | Multimodal image registration for liver radioembolization planning and patient assessment |
title_full_unstemmed | Multimodal image registration for liver radioembolization planning and patient assessment |
title_short | Multimodal image registration for liver radioembolization planning and patient assessment |
title_sort | multimodal image registration for liver radioembolization planning and patient assessment |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373337/ https://www.ncbi.nlm.nih.gov/pubmed/30349976 http://dx.doi.org/10.1007/s11548-018-1877-5 |
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