Investigation of Trimodality Image Registration for Guiding Cardiovascular Diseases Treatment Procedure

This study introduced a registration system that combines preoperative cardiac computed tomography (CT) and Magnetic Resonance Imaging (MRI) volume data with 2D ultrasound (US) images of cardiovascular diseases, specifically on aortic valves. By integrating these three different imaging modalitie...

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Main Author:	Aisyah Binti Mohd Rahimi
Format:	Thesis
Language:	en_US
Subjects:	Trimodality Computed tomography Magnetic resonance imaging Ultrasound Image registration.
Online Access:	https://oarep.usim.edu.my/bitstreams/fd9ccbae-d6f9-4697-b955-e4d378890f5b/download https://oarep.usim.edu.my/bitstreams/14ac2806-8783-4372-9a99-4dfa6f61b963/download https://oarep.usim.edu.my/bitstreams/391ca644-5dda-41c8-9f61-fd6019860857/download https://oarep.usim.edu.my/bitstreams/329490f7-26b8-439b-8fee-faf7f80ee1ce/download https://oarep.usim.edu.my/bitstreams/87006371-d089-439a-a361-82f9f81106d7/download https://oarep.usim.edu.my/bitstreams/a678b80e-5012-4167-ae6f-04fda2c79a1a/download https://oarep.usim.edu.my/bitstreams/7ef488c4-afaf-4b19-9b09-08b5e258f42f/download https://oarep.usim.edu.my/bitstreams/422f3e56-c94c-4d8f-9e8c-215c238f0364/download
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id	my-usim-ddms-13404
record_format	uketd_dc
institution	Universiti Sains Islam Malaysia
collection	USIM Institutional Repository
language	en_US
topic	Trimodality Computed tomography Magnetic resonance imaging Ultrasound Image registration.
spellingShingle	Trimodality Computed tomography Magnetic resonance imaging Ultrasound Image registration. Aisyah Binti Mohd Rahimi Investigation of Trimodality Image Registration for Guiding Cardiovascular Diseases Treatment Procedure
description	This study introduced a registration system that combines preoperative cardiac computed tomography (CT) and Magnetic Resonance Imaging (MRI) volume data with 2D ultrasound (US) images of cardiovascular diseases, specifically on aortic valves. By integrating these three different imaging modalities (US-CT-MRI), the registration process enhances the accuracy of diagnosing aortic valve disorders and provides surgical guidance during the placement of the transcatheter aortic valve. The registration process involved acquiring short-axis "Mercedes Benz" images of the aortic valve from 20 patients who underwent the procedure. It encompasses temporal synchronization and spatial registration as the key components of the image registration framework. Temporal synchronization involves identifying frames in the CT and MRI volume that align with the cardiac phase of the US time-series data. Spatial registration utilizes an intensity-based normalized mutual information method in combination with a pattern search optimization algorithm to generate interpolated cardiac CT and MRI images that align with the US image. The accuracy of the trimodal registration method was evaluated using the Dice similarity coefficient, which yielded values of 0.92 (± 0.05) and 0.92 (± 0.04) when compared to US-CT and US-MRI, respectively, in the short-axis "Mercedes Benz" views. Additionally, the Hausdorff distance, a measure of dissimilarity, was found to be 1.49 (± 0.20) and 1.49 (± 0.19) mm for both pairings. These results demonstrate a level of precision comparable to manual registration by an expert. The registration process also enabled accurate measurements of the aortic annulus diameter, showing no significant differences between the manually registered MRI scans and automatically registered CT scans. These findings highlight the excellent accuracy of the proposed technique in improving image-guided systems for aortic valve surgical guidance, particularly in Transcatheter Aortic Valve Implantation (TAVI) and Transcatheter Aortic Valve Replacement (TAVR) procedures.
format	Thesis
author	Aisyah Binti Mohd Rahimi
author_facet	Aisyah Binti Mohd Rahimi
author_sort	Aisyah Binti Mohd Rahimi
title	Investigation of Trimodality Image Registration for Guiding Cardiovascular Diseases Treatment Procedure
title_short	Investigation of Trimodality Image Registration for Guiding Cardiovascular Diseases Treatment Procedure
title_full	Investigation of Trimodality Image Registration for Guiding Cardiovascular Diseases Treatment Procedure
title_fullStr	Investigation of Trimodality Image Registration for Guiding Cardiovascular Diseases Treatment Procedure
title_full_unstemmed	Investigation of Trimodality Image Registration for Guiding Cardiovascular Diseases Treatment Procedure
title_sort	investigation of trimodality image registration for guiding cardiovascular diseases treatment procedure
granting_institution	Universiti Sains Islam Malaysia
url	https://oarep.usim.edu.my/bitstreams/fd9ccbae-d6f9-4697-b955-e4d378890f5b/download https://oarep.usim.edu.my/bitstreams/14ac2806-8783-4372-9a99-4dfa6f61b963/download https://oarep.usim.edu.my/bitstreams/391ca644-5dda-41c8-9f61-fd6019860857/download https://oarep.usim.edu.my/bitstreams/329490f7-26b8-439b-8fee-faf7f80ee1ce/download https://oarep.usim.edu.my/bitstreams/87006371-d089-439a-a361-82f9f81106d7/download https://oarep.usim.edu.my/bitstreams/a678b80e-5012-4167-ae6f-04fda2c79a1a/download https://oarep.usim.edu.my/bitstreams/7ef488c4-afaf-4b19-9b09-08b5e258f42f/download https://oarep.usim.edu.my/bitstreams/422f3e56-c94c-4d8f-9e8c-215c238f0364/download
_version_	1812444756688502784
spelling	my-usim-ddms-134042024-05-29T19:05:17Z Investigation of Trimodality Image Registration for Guiding Cardiovascular Diseases Treatment Procedure Aisyah Binti Mohd Rahimi This study introduced a registration system that combines preoperative cardiac computed tomography (CT) and Magnetic Resonance Imaging (MRI) volume data with 2D ultrasound (US) images of cardiovascular diseases, specifically on aortic valves. By integrating these three different imaging modalities (US-CT-MRI), the registration process enhances the accuracy of diagnosing aortic valve disorders and provides surgical guidance during the placement of the transcatheter aortic valve. The registration process involved acquiring short-axis "Mercedes Benz" images of the aortic valve from 20 patients who underwent the procedure. It encompasses temporal synchronization and spatial registration as the key components of the image registration framework. Temporal synchronization involves identifying frames in the CT and MRI volume that align with the cardiac phase of the US time-series data. Spatial registration utilizes an intensity-based normalized mutual information method in combination with a pattern search optimization algorithm to generate interpolated cardiac CT and MRI images that align with the US image. The accuracy of the trimodal registration method was evaluated using the Dice similarity coefficient, which yielded values of 0.92 (± 0.05) and 0.92 (± 0.04) when compared to US-CT and US-MRI, respectively, in the short-axis "Mercedes Benz" views. Additionally, the Hausdorff distance, a measure of dissimilarity, was found to be 1.49 (± 0.20) and 1.49 (± 0.19) mm for both pairings. These results demonstrate a level of precision comparable to manual registration by an expert. The registration process also enabled accurate measurements of the aortic annulus diameter, showing no significant differences between the manually registered MRI scans and automatically registered CT scans. These findings highlight the excellent accuracy of the proposed technique in improving image-guided systems for aortic valve surgical guidance, particularly in Transcatheter Aortic Valve Implantation (TAVI) and Transcatheter Aortic Valve Replacement (TAVR) procedures. Universiti Sains Islam Malaysia 2023-12 Thesis en_US https://oarep.usim.edu.my/handle/123456789/13404 https://oarep.usim.edu.my/bitstreams/fd9ccbae-d6f9-4697-b955-e4d378890f5b/download bfc26292062caf4d536d94e8d31eda2d https://oarep.usim.edu.my/bitstreams/14ac2806-8783-4372-9a99-4dfa6f61b963/download 3fe618dc6eae4368da3e568e659b62d9 https://oarep.usim.edu.my/bitstreams/391ca644-5dda-41c8-9f61-fd6019860857/download 8f2ae81301b57c36a09aebf61430fa05 https://oarep.usim.edu.my/bitstreams/329490f7-26b8-439b-8fee-faf7f80ee1ce/download b443a38af150f42a213742467107b5c8 https://oarep.usim.edu.my/bitstreams/87006371-d089-439a-a361-82f9f81106d7/download 80799fe99d7ad383e938d1702310cd01 https://oarep.usim.edu.my/bitstreams/a678b80e-5012-4167-ae6f-04fda2c79a1a/download 4a511a4782983ce9912cf14b20437c65 https://oarep.usim.edu.my/bitstreams/7ef488c4-afaf-4b19-9b09-08b5e258f42f/download e9a09c9bc1e55548f6cd12a5da6342b8 https://oarep.usim.edu.my/bitstreams/422f3e56-c94c-4d8f-9e8c-215c238f0364/download 69b629310977aaceede972c03ac0f91e https://oarep.usim.edu.my/bitstreams/030eb012-b8ae-4dec-813f-850ddf9ca145/download 8a4605be74aa9ea9d79846c1fba20a33 https://oarep.usim.edu.my/bitstreams/55e8acfa-a22b-402f-99dc-4a68e69aa7ef/download 68b329da9893e34099c7d8ad5cb9c940 https://oarep.usim.edu.my/bitstreams/9a212027-7f11-409e-a7b1-539c921237e6/download e3b2a4d664a62e0ffe54811183831f6e https://oarep.usim.edu.my/bitstreams/f75d1460-7ce2-4282-b468-e404c0fd68a3/download 16f651b3a55eda14f48c430c7eca5863 https://oarep.usim.edu.my/bitstreams/4d84f326-5f90-4073-a831-46228eea6449/download 89f5f88d8e7c1b25c7a41c37d1abb0db https://oarep.usim.edu.my/bitstreams/bc31f3b9-bcc9-4b4a-89c1-0476ad31f10e/download bde4b80bcc4057ccda640781e1947ba8 https://oarep.usim.edu.my/bitstreams/3323f51b-727f-4357-acec-9d80ad4377b6/download 6a87d1c8968ed200baa584c1f17bd848 https://oarep.usim.edu.my/bitstreams/af0b562b-7322-4051-83c7-091490527f4e/download ea7107d3e7ea5c31fe4882b6f82eda57 https://oarep.usim.edu.my/bitstreams/9beb73e8-f4e2-47c6-aaf4-a5ed87bba6cf/download 6b9b8fa03063bc14f87abf6537ab6a4b Trimodality, Computed tomography, Magnetic resonance imaging, Ultrasound, Image registration.

Investigation of Trimodality Image Registration for Guiding Cardiovascular Diseases Treatment Procedure

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