Estimation of myocardial strain from non-rigid registration and highly accelerated cine CMR.

Autor: Langton JE; Department of Radiology, Auckland District Health Board, Auckland, New Zealand., Lam HI; Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand., Cowan BR; Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand., Occleshaw CJ; Auckland District Health Board, Auckland, New Zealand., Gabriel R; Auckland District Health Board, Auckland, New Zealand., Lowe B; Auckland District Health Board, Auckland, New Zealand., Lydiard S; Auckland District Health Board, Auckland, New Zealand., Greiser A; Siemens Healthcare GmbH, Erlangen, Germany., Schmidt M; Siemens Healthcare GmbH, Erlangen, Germany., Young AA; Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand. a.young@auckland.ac.nz.; Department of Anatomy with Radiology, Faculty of Medical and Health Sciences, University of Auckland, 85 Park Road, Auckland, 1142, New Zealand. a.young@auckland.ac.nz.
Jazyk: angličtina
Zdroj: The international journal of cardiovascular imaging [Int J Cardiovasc Imaging] 2017 Jan; Vol. 33 (1), pp. 101-107. Date of Electronic Publication: 2016 Sep 13.
DOI: 10.1007/s10554-016-0978-x
Abstrakt: Sparsely sampled cardiac cine accelerated acquisitions show promise for faster evaluation of left-ventricular function. Myocardial strain estimation using image feature tracking methods is also becoming widespread. However, it is not known whether highly accelerated acquisitions also provide reliable feature tracking strain estimates. Twenty patients and twenty healthy volunteers were imaged with conventional 14-beat/slice cine acquisition (STD), 4× accelerated 4-beat/slice acquisition with iterative reconstruction (R4), and a 9.2× accelerated 2-beat/slice real-time acquisition with sparse sampling and iterative reconstruction (R9.2). Radial and circumferential strains were calculated using non-rigid registration in the mid-ventricle short-axis slice and inter-observer errors were evaluated. Consistency was assessed using intra-class correlation coefficients (ICC) and bias with Bland-Altman analysis. Peak circumferential strain magnitude was highly consistent between STD and R4 and R9.2 (ICC = 0.876 and 0.884, respectively). Average bias was -1.7 ± 2.0 %, p < 0.001, for R4 and -2.7 ± 1.9 %, p < 0.001 for R9.2. Peak radial strain was also highly consistent (ICC = 0.829 and 0.785, respectively), with average bias -11.2 ± 18.4 %, p < 0.001, for R4 and -15.0 ± 21.2 %, p < 0.001 for R9.2. STD circumferential strain could be predicted by linear regression from R9.2 with an R 2 of 0.82 and a root mean squared error of 1.8 %. Similarly, radial strain could be predicted with an R 2 of 0.67 and a root mean squared error of 21.3 %. Inter-observer errors were not significantly different between methods, except for peak circumferential strain R9.2 (1.1 ± 1.9 %) versus STD (0.3 ± 1.0 %), p = 0.011. Although small systematic differences were observed in strain, these were highly consistent with standard acquisitions, suggesting that accelerated myocardial strain is feasible and reliable in patients who require short acquisition durations.
Databáze: MEDLINE