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Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures
PURPOSE: Navigation of endoscopic ultrasound (EUS)-guided procedures of the upper gastrointestinal (GI) system can be technically challenging due to the small fields-of-view of ultrasound and optical devices, as well as the anatomical variability and limited number of orienting landmarks during navi...
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/PMC5973980/ https://www.ncbi.nlm.nih.gov/pubmed/29663274 http://dx.doi.org/10.1007/s11548-018-1762-2 |
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author | Bonmati, Ester Hu, Yipeng Gibson, Eli Uribarri, Laura Keane, Geri Gurusami, Kurinchi Davidson, Brian Pereira, Stephen P. Clarkson, Matthew J. Barratt, Dean C. |
author_facet | Bonmati, Ester Hu, Yipeng Gibson, Eli Uribarri, Laura Keane, Geri Gurusami, Kurinchi Davidson, Brian Pereira, Stephen P. Clarkson, Matthew J. Barratt, Dean C. |
author_sort | Bonmati, Ester |
collection | PubMed |
description | PURPOSE: Navigation of endoscopic ultrasound (EUS)-guided procedures of the upper gastrointestinal (GI) system can be technically challenging due to the small fields-of-view of ultrasound and optical devices, as well as the anatomical variability and limited number of orienting landmarks during navigation. Co-registration of an EUS device and a pre-procedure 3D image can enhance the ability to navigate. However, the fidelity of this contextual information depends on the accuracy of registration. The purpose of this study was to develop and test the feasibility of a simulation-based planning method for pre-selecting patient-specific EUS-visible anatomical landmark locations to maximise the accuracy and robustness of a feature-based multimodality registration method. METHODS: A registration approach was adopted in which landmarks are registered to anatomical structures segmented from the pre-procedure volume. The predicted target registration errors (TREs) of EUS-CT registration were estimated using simulated visible anatomical landmarks and a Monte Carlo simulation of landmark localisation error. The optimal planes were selected based on the 90th percentile of TREs, which provide a robust and more accurate EUS-CT registration initialisation. The method was evaluated by comparing the accuracy and robustness of registrations initialised using optimised planes versus non-optimised planes using manually segmented CT images and simulated ([Formula: see text] ) or retrospective clinical ([Formula: see text] ) EUS landmarks. RESULTS: The results show a lower 90th percentile TRE when registration is initialised using the optimised planes compared with a non-optimised initialisation approach (p value [Formula: see text] ). CONCLUSIONS: The proposed simulation-based method to find optimised EUS planes and landmarks for EUS-guided procedures may have the potential to improve registration accuracy. Further work will investigate applying the technique in a clinical setting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11548-018-1762-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5973980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-59739802018-06-08 Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures Bonmati, Ester Hu, Yipeng Gibson, Eli Uribarri, Laura Keane, Geri Gurusami, Kurinchi Davidson, Brian Pereira, Stephen P. Clarkson, Matthew J. Barratt, Dean C. Int J Comput Assist Radiol Surg Original Article PURPOSE: Navigation of endoscopic ultrasound (EUS)-guided procedures of the upper gastrointestinal (GI) system can be technically challenging due to the small fields-of-view of ultrasound and optical devices, as well as the anatomical variability and limited number of orienting landmarks during navigation. Co-registration of an EUS device and a pre-procedure 3D image can enhance the ability to navigate. However, the fidelity of this contextual information depends on the accuracy of registration. The purpose of this study was to develop and test the feasibility of a simulation-based planning method for pre-selecting patient-specific EUS-visible anatomical landmark locations to maximise the accuracy and robustness of a feature-based multimodality registration method. METHODS: A registration approach was adopted in which landmarks are registered to anatomical structures segmented from the pre-procedure volume. The predicted target registration errors (TREs) of EUS-CT registration were estimated using simulated visible anatomical landmarks and a Monte Carlo simulation of landmark localisation error. The optimal planes were selected based on the 90th percentile of TREs, which provide a robust and more accurate EUS-CT registration initialisation. The method was evaluated by comparing the accuracy and robustness of registrations initialised using optimised planes versus non-optimised planes using manually segmented CT images and simulated ([Formula: see text] ) or retrospective clinical ([Formula: see text] ) EUS landmarks. RESULTS: The results show a lower 90th percentile TRE when registration is initialised using the optimised planes compared with a non-optimised initialisation approach (p value [Formula: see text] ). CONCLUSIONS: The proposed simulation-based method to find optimised EUS planes and landmarks for EUS-guided procedures may have the potential to improve registration accuracy. Further work will investigate applying the technique in a clinical setting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11548-018-1762-2) contains supplementary material, which is available to authorized users. Springer International Publishing 2018-04-16 2018 /pmc/articles/PMC5973980/ /pubmed/29663274 http://dx.doi.org/10.1007/s11548-018-1762-2 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 Bonmati, Ester Hu, Yipeng Gibson, Eli Uribarri, Laura Keane, Geri Gurusami, Kurinchi Davidson, Brian Pereira, Stephen P. Clarkson, Matthew J. Barratt, Dean C. Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures |
title | Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures |
title_full | Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures |
title_fullStr | Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures |
title_full_unstemmed | Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures |
title_short | Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures |
title_sort | determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5973980/ https://www.ncbi.nlm.nih.gov/pubmed/29663274 http://dx.doi.org/10.1007/s11548-018-1762-2 |
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