Quiescent frame, contrast-enhanced coronary magnetic resonance angiography reconstructed using limited number of physiologic frames from 5D free-running acquisitions.
Details
Serval ID
serval:BIB_C4BA7153550B
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Quiescent frame, contrast-enhanced coronary magnetic resonance angiography reconstructed using limited number of physiologic frames from 5D free-running acquisitions.
Journal
Magnetic resonance imaging
ISSN
1873-5894 (Electronic)
ISSN-L
0730-725X
Publication state
Published
Issued date
11/2024
Peer-reviewed
Oui
Volume
113
Pages
110209
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Publication Status: ppublish
Abstract
5D, free-running imaging resolves sets of 3D whole-heart images in both cardiac and respiratory dimensions. In an application such as coronary imaging when a single, static image is of interest, computationally expensive offline iterative reconstruction is still needed to compute the multiple 3D datasets.
Evaluate how the number of physiologic bins included in the reconstruction affects the computational cost and resulting image quality of a single, static volume reconstruction.
Retrospective.
15 pediatric patients following Ferumoxytol infusion (4 mg/kg).
1.5 T/Ungated 5D free-running GRE sequence.
The raw data of each subject were binned and reconstructed into a 5D (x-y-z-cardiac-respiratory) images. 1, 3, 5, 7, and 9 bins adjacent to both sides of the retrospectively determined cardiac resting phase and 1, 3 bins adjacent to the end-expiration phase are used for limited frame reconstructions. The static volume within each limited reconstruction was compared with the corresponding full 5D reconstruction using the structural similarity index measure (SSIM). A non-linear regression model was used to fit SSIM with the percentage of data used compared to full reconstruction (% data). A linear regression model was used to fit computation time with % raw data used. Coronary artery sharpness is measured on each limited reconstructed images to determine the minimal number of cardiac and respiratory bins needed to preserve image quality.
The coefficient of determination (R <sup>2</sup> ) is computed for each regression model.
The % of data used in the reconstruction was linearly related to the computational time (R <sup>2</sup> = 0.99). The SSIM of the static image from the limited reconstructions is non-linearly related with the % of data used (R <sup>2</sup> = 0.80). Over the 15 patients, the model showed SSIM of 0.9 with 18% of data, and SSIM of 0.96 with 30% of data. The coronary artery sharpness of images reconstructed using no less than 5 cardiac and all respiratory phases is not significantly different from the full reconstructed images using all cardiac and respiratory bins.
Reconstruction using only a limited number of acquired physiological states can linearly reduce the computational cost while preserving similarity to the full reconstruction image. It is suggested to use no less than 5 cardiac and all respiratory phases in the limited reconstruction to best preserve the original quality seen on the full reconstructed images.
Evaluate how the number of physiologic bins included in the reconstruction affects the computational cost and resulting image quality of a single, static volume reconstruction.
Retrospective.
15 pediatric patients following Ferumoxytol infusion (4 mg/kg).
1.5 T/Ungated 5D free-running GRE sequence.
The raw data of each subject were binned and reconstructed into a 5D (x-y-z-cardiac-respiratory) images. 1, 3, 5, 7, and 9 bins adjacent to both sides of the retrospectively determined cardiac resting phase and 1, 3 bins adjacent to the end-expiration phase are used for limited frame reconstructions. The static volume within each limited reconstruction was compared with the corresponding full 5D reconstruction using the structural similarity index measure (SSIM). A non-linear regression model was used to fit SSIM with the percentage of data used compared to full reconstruction (% data). A linear regression model was used to fit computation time with % raw data used. Coronary artery sharpness is measured on each limited reconstructed images to determine the minimal number of cardiac and respiratory bins needed to preserve image quality.
The coefficient of determination (R <sup>2</sup> ) is computed for each regression model.
The % of data used in the reconstruction was linearly related to the computational time (R <sup>2</sup> = 0.99). The SSIM of the static image from the limited reconstructions is non-linearly related with the % of data used (R <sup>2</sup> = 0.80). Over the 15 patients, the model showed SSIM of 0.9 with 18% of data, and SSIM of 0.96 with 30% of data. The coronary artery sharpness of images reconstructed using no less than 5 cardiac and all respiratory phases is not significantly different from the full reconstructed images using all cardiac and respiratory bins.
Reconstruction using only a limited number of acquired physiological states can linearly reduce the computational cost while preserving similarity to the full reconstruction image. It is suggested to use no less than 5 cardiac and all respiratory phases in the limited reconstruction to best preserve the original quality seen on the full reconstructed images.
Keywords
Humans, Retrospective Studies, Male, Female, Child, Contrast Media, Magnetic Resonance Angiography/methods, Imaging, Three-Dimensional/methods, Adolescent, Image Processing, Computer-Assisted/methods, Algorithms, Heart/diagnostic imaging, Ferrosoferric Oxide, Coronary Vessels/diagnostic imaging, Image Interpretation, Computer-Assisted/methods, Child, Preschool, 5D whole-heart MRI, Coronary MRA, Free-running
Pubmed
Web of science
Create date
12/07/2024 13:15
Last modification date
24/09/2024 7:19