Single‐heartbeat cardiac cine imaging via jointly regularized nonrigid motion‐corrected reconstruction

Author:

Cruz Gastao1ORCID,Hammernik Kerstin23,Kuestner Thomas14,Velasco Carlos1,Hua Alina1,Ismail Tevfik Fehmi1,Rueckert Daniel23,Botnar Rene Michael156,Prieto Claudia156

Affiliation:

1. School of Biomedical Engineering and Imaging Sciences King's College London London UK

2. Department of Computing Imperial College London London UK

3. Institute for Artificial Intelligence and Informatics in Medicine, Klinikum rechts der Isar Technical University of Munich Munich Germany

4. Medical Image and Data Analysis, Department of Diagnostic and Interventional Radiology University Hospital Tübingen Tübingen Germany

5. Escuela de Ingeniería Pontificia Universidad Católica de Chile Santiago Chile

6. Millennium Institute for Intelligent Healthcare Engineering Santiago Chile

Abstract

AbstractThe aim of the current study was to develop a novel approach for 2D breath‐hold cardiac cine imaging from a single heartbeat, by combining cardiac motion‐corrected reconstructions and nonrigidly aligned patch‐based regularization. Conventional cardiac cine imaging is obtained via motion‐resolved reconstructions of data acquired over multiple heartbeats. Here, we achieve single‐heartbeat cine imaging by incorporating nonrigid cardiac motion correction into the reconstruction of each cardiac phase, in conjunction with a motion‐aligned patch‐based regularization. The proposed Motion‐Corrected CINE (MC‐CINE) incorporates all acquired data into the reconstruction of each (motion‐corrected) cardiac phase, resulting in a better posed problem than motion‐resolved approaches. MC‐CINE was compared with iterative sensitivity encoding (itSENSE) and Extra‐Dimensional Golden Angle Radial Sparse Parallel (XD‐GRASP) in 14 healthy subjects in terms of image sharpness, reader scoring (range: 1–5) and reader ranking (range: 1–9) of image quality, and single‐slice left ventricular assessment. MC‐CINE was significantly superior to both itSENSE and XD‐GRASP using 20 heartbeats, two heartbeats, and one heartbeat. Iterative SENSE, XD‐GRASP, and MC‐CINE achieved a sharpness of 74%, 74%, and 82% using 20 heartbeats, and 53%, 66%, and 82% with one heartbeat, respectively. The corresponding results for reader scoring were 4.0, 4.7, and 4.9 with 20 heartbeats, and 1.1, 3.0, and 3.9 with one heartbeat. The corresponding results for reader ranking were 5.3, 7.3, and 8.6 with 20 heartbeats, and 1.0, 3.2, and 5.4 with one heartbeat. MC‐CINE using a single heartbeat presented nonsignificant differences in image quality to itSENSE with 20 heartbeats. MC‐CINE and XD‐GRASP at one heartbeat both presented a nonsignificant negative bias of less than 2% in ejection fraction relative to the reference itSENSE. It was concluded that the proposed MC‐CINE significantly improves image quality relative to itSENSE and XD‐GRASP, enabling 2D cine from a single heartbeat.

Funder

Engineering and Physical Sciences Research Council

Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica

British Heart Foundation

Núcleo Milenio Información y Coordinación en Redes, ICR

Centre For Medical Engineering, King’s College London

Publisher

Wiley

Subject

Spectroscopy,Radiology, Nuclear Medicine and imaging,Molecular Medicine

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