Quiescent frame, contrast-enhanced coronary magnetic resonance angiography reconstructed using limited number of physiologic frames from 5D free-running acquisitions.

Autor: Yang Y; Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States., Hair J; Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States., Yerly J; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland; Center for Biomedical Imaging, Lausanne, Switzerland., Piccini D; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland; Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland., Di Sopra L; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland; Center for Biomedical Imaging, Lausanne, Switzerland., Bustin A; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland; Center for Biomedical Imaging, Lausanne, Switzerland., Prsa M; Department of Interventional Cardiology, Lausanne University Hospital, Lausanne, Switzerland., Si-Mohamed S; Department of Radiology, University of Claude Bernard Lyon 1., Lyon, France., Stuber M; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland; Center for Biomedical Imaging, Lausanne, Switzerland., Oshinski JN; Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States; Department of Radiology, Emory University School of Medicine, Atlanta, GA, United States. Electronic address: jnoshin@emory.edu.
Jazyk: angličtina
Zdroj: Magnetic resonance imaging [Magn Reson Imaging] 2024 Nov; Vol. 113, pp. 110209. Date of Electronic Publication: 2024 Jul 05.
DOI: 10.1016/j.mri.2024.07.008
Abstrakt: Background: 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.
Purpose: 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.
Study Type: Retrospective.
Subjects: 15 pediatric patients following Ferumoxytol infusion (4 mg/kg).
Field Strength/sequence: 1.5 T/Ungated 5D free-running GRE sequence.
Assessment: 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.
Statistical Tests: The coefficient of determination (R 2 ) is computed for each regression model.
Results: The % of data used in the reconstruction was linearly related to the computational time (R 2  = 0.99). The SSIM of the static image from the limited reconstructions is non-linearly related with the % of data used (R 2  = 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.
Data Conclusion: 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.
Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:
(Copyright © 2024 Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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