Non‐rigid motion‐compensated 3D whole‐heart T2 mapping in a hybrid 3T PET‐MR system

Author:

Schneider Alina1ORCID,Munoz Camila1ORCID,Hua Alina1,Ellis Sam1,Jeljeli Sami2,Kunze Karl P.3,Neji Radhouene1,Reader Andrew J.1,Reyes Eliana1,Ismail Tevfik F.1,Botnar René M.145,Prieto Claudia145

Affiliation:

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

2. PET Centre, St Thomas' Hospital King's College London & Guys and St Thomas' NHS Foundation Trust London UK

3. MR Research Collaborations Siemens Healthcare Limited Camberley UK

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

5. Millenium Institute for Intelligent Healthcare Engineering iHEALTH Santiago Chile

Abstract

AbstractPurposeSimultaneous PET‐MRI improves inflammatory cardiac disease diagnosis. However, challenges persist in respiratory motion and mis‐registration between free‐breathing 3D PET and 2D breath‐held MR images. We propose a free‐breathing non‐rigid motion‐compensated 3D T2‐mapping sequence enabling whole‐heart myocardial tissue characterization in a hybrid 3T PET‐MR system and provides non‐rigid respiratory motion fields to correct also simultaneously acquired PET data.MethodsFree‐breathing 3D whole‐heart T2‐mapping was implemented on a hybrid 3T PET‐MRI system. Three datasets were acquired with different T2‐preparation modules (0, 28, 55 ms) using 3‐fold undersampled variable‐density Cartesian trajectory. Respiratory motion was estimated via virtual 3D image navigators, enabling multi‐contrast non‐rigid motion‐corrected MR reconstruction. T2‐maps were computed using dictionary‐matching. Approach was tested in phantom, 8 healthy subjects, 14 MR only and 2 PET‐MR patients with suspected cardiac disease and compared with spin echo reference (phantom) and clinical 2D T2‐mapping (in‐vivo).ResultsPhantom results show a high correlation (R2 = 0.996) between proposed approach and gold standard 2D T2 mapping. In‐vivo 3D T2‐mapping average values in healthy subjects (39.0 ± 1.4 ms) and patients (healthy tissue) (39.1 ± 1.4 ms) agree with conventional 2D T2‐mapping (healthy = 38.6 ± 1.2 ms, patients = 40.3 ± 1.7 ms). Bland–Altman analysis reveals bias of 1.8 ms and 95% limits of agreement (LOA) of −2.4‐6 ms for healthy subjects, and bias of 1.3 ms and 95% LOA of −1.9 to 4.6 ms for patients.ConclusionValidated efficient 3D whole‐heart T2‐mapping at hybrid 3T PET‐MRI provides myocardial inflammation characterization and non‐rigid respiratory motion fields for simultaneous PET data correction. Comparable T2 values were achieved with both 3D and 2D methods. Improved image quality was observed in the PET images after MR‐based motion correction.

Funder

Engineering and Physical Sciences Research Council

Wellcome Trust

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

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