Low-rank motion correction for accelerated free-breathing first-pass myocardial perfusion imaging

TY - JOUR

T1 - Low-rank motion correction for accelerated free-breathing first-pass myocardial perfusion imaging

AU - Cruz, Gastao

AU - Hua, Alina

AU - Munoz, Camila

AU - Ismail, Tevfik Fehmi

AU - Chiribiri, Amedeo

AU - Botnar, René Michael

AU - Prieto, Claudia

N1 - Funding Information: The authors acknowledge financial support from (1) Engineering and Physical Sciences Research Council (EPSRC) EP/P001009/1, (2) EPSRC EP/P032311/1 and EP/V044087/1, (3) FONDECYT 1210637, (4) ANID (Millennium Science Initiative Program, ICN2021_004), (5) Wellcome EPSRC Center for Medical Engineering (NS/A000049/1), and (6) the Department of Health through the National Institute for Health Research (NIHR) comprehensive Biomedical Research Center award to Guy's & St. Thomas' NHS Foundation Trust in partnership with King's College London and King's College Hospital NHS Foundation Trust and by the NIHR MedTech Co‐operative for Cardiovascular Disease at Guy's and St. Thomas' NHS Foundation Trust. Dr. Hua and Dr. Ismail are funded by the British Heart Foundation. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, the Department of Health, or any other funder. Funding Information: information Biomedical Research Centre, British Heart Foundation, Department of Health, EPSRC, Grant/Award Numbers: EP/P001009/1, EP/P032311/1, EP/V044087/1; Fondo Nacional de Desarrollo Cientifico y Tecnologico (FONDECYT), Grant/Award Number: 1210637; Guy's and St Thomas' NHS Foundation Trust, King's College Hospital NHS Foundation Trust, King's College London, Millennium Science Initiative Program, Grant/Award Number: ICN2021_004; National Institute for Health Research (NIHR), Wellcome EPSRC Centre for Medical Engineering, Grant/Award Number: NS/A000049/1The authors acknowledge financial support from (1) Engineering and Physical Sciences Research Council (EPSRC) EP/P001009/1, (2) EPSRC EP/P032311/1 and EP/V044087/1, (3) FONDECYT 1210637, (4) ANID (Millennium Science Initiative Program, ICN2021_004), (5) Wellcome EPSRC Center for Medical Engineering (NS/A000049/1), and (6) the Department of Health through the National Institute for Health Research (NIHR) comprehensive Biomedical Research Center award to Guy's & St. Thomas' NHS Foundation Trust in partnership with King's College London and King's College Hospital NHS Foundation Trust and by the NIHR MedTech Co-operative for Cardiovascular Disease at Guy's and St. Thomas' NHS Foundation Trust. Dr. Hua and Dr. Ismail are funded by the British Heart Foundation. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, the Department of Health, or any other funder. Publisher Copyright: © 2023 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.

PY - 2023/7

Y1 - 2023/7

N2 - PurposeDevelop a novel approach for accelerated 2D free-breathing myocardial perfusion via low-rank motion-corrected (LRMC) reconstructions.MethodsMyocardial perfusion imaging requires high spatial and temporal resolution, despite scan time constraints. Here, we incorporate LRMC models into the reconstruction-encoding operator, together with high-dimensionality patch-based regularization, to produce high quality, motion-corrected myocardial perfusion series from free-breathing acquisitions. The proposed framework estimates beat-to-beat nonrigid respiratory (and any other incidental) motion and the dynamic contrast subspace from the actual acquired data, which are then incorporated into the proposed LRMC reconstruction. LRMC was compared with iterative SENSitivity Encoding (SENSE) (itSENSE) and low-rank plus sparse (LpS) reconstruction in 10 patients based on image-quality scoring and ranking by two clinical expert readers.ResultsLRMC achieved significantly improved results relative to itSENSE and LpS in terms of image sharpness, temporal coefficient of variation, and expert reader evaluation. Left ventricle image sharpness was approximately 75%, 79%, and 86% for itSENSE, LpS and LRMC, respectively, indicating improved image sharpness for the proposed approach. Corresponding temporal coefficient of variation results were 23%, 11% and 7%, demonstrating improved temporal fidelity of the perfusion signal with the proposed LRMC. Corresponding clinical expert reader scores (1–5, from poor to excellent image quality) were 3.3, 3.9 and 4.9, demonstrating improved image quality with the proposed LRMC, in agreement with the automated metrics.ConclusionLRMC produces motion-corrected myocardial perfusion in free-breathing acquisitions with substantially improved image quality when compared with iterative SENSE and LpS reconstructions.

AB - PurposeDevelop a novel approach for accelerated 2D free-breathing myocardial perfusion via low-rank motion-corrected (LRMC) reconstructions.MethodsMyocardial perfusion imaging requires high spatial and temporal resolution, despite scan time constraints. Here, we incorporate LRMC models into the reconstruction-encoding operator, together with high-dimensionality patch-based regularization, to produce high quality, motion-corrected myocardial perfusion series from free-breathing acquisitions. The proposed framework estimates beat-to-beat nonrigid respiratory (and any other incidental) motion and the dynamic contrast subspace from the actual acquired data, which are then incorporated into the proposed LRMC reconstruction. LRMC was compared with iterative SENSitivity Encoding (SENSE) (itSENSE) and low-rank plus sparse (LpS) reconstruction in 10 patients based on image-quality scoring and ranking by two clinical expert readers.ResultsLRMC achieved significantly improved results relative to itSENSE and LpS in terms of image sharpness, temporal coefficient of variation, and expert reader evaluation. Left ventricle image sharpness was approximately 75%, 79%, and 86% for itSENSE, LpS and LRMC, respectively, indicating improved image sharpness for the proposed approach. Corresponding temporal coefficient of variation results were 23%, 11% and 7%, demonstrating improved temporal fidelity of the perfusion signal with the proposed LRMC. Corresponding clinical expert reader scores (1–5, from poor to excellent image quality) were 3.3, 3.9 and 4.9, demonstrating improved image quality with the proposed LRMC, in agreement with the automated metrics.ConclusionLRMC produces motion-corrected myocardial perfusion in free-breathing acquisitions with substantially improved image quality when compared with iterative SENSE and LpS reconstructions.

KW - accelerated scan

KW - cardiac MR

KW - free breathing

KW - low rank

KW - motion correction

KW - myocardial perfusion

UR - http://www.scopus.com/inward/record.url?scp=85150175536&partnerID=8YFLogxK

U2 - 10.1002/mrm.29626

DO - 10.1002/mrm.29626

M3 - Article

AN - SCOPUS:85150175536

SN - 0740-3194

VL - 90

SP - 64

EP - 78

JO - Magnetic Resonance in Medicine

JF - Magnetic Resonance in Medicine

IS - 1

ER -