TY - JOUR
T1 - Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging
T2 - Estimating cardiac biomarkers for CRT patients
AU - Sinclair, Matthew
AU - Peressutti, Devis
AU - Puyol-Antón, Esther
AU - Bai, Wenjia
AU - Rivolo, Simone
AU - Webb, Jessica
AU - Claridge, Simon
AU - Jackson, Thomas
AU - Nordsletten, David
AU - Hadjicharalambous, Myrianthi
AU - Kerfoot, Eric
AU - Rinaldi, Christopher A.
AU - Rueckert, Daniel
AU - King, Andrew P.
N1 - Publisher Copyright:
© 2017 The Authors
PY - 2018/1
Y1 - 2018/1
N2 - Abnormal cardiac motion can indicate different forms of disease, which can manifest at different spatial scales in the myocardium. Many studies have sought to characterise particular motion abnormalities associated with specific diseases, and to utilise motion information to improve diagnoses. However, the importance of spatial scale in the analysis of cardiac deformation has not been extensively investigated. We build on recent work on the analysis of myocardial strains at different spatial scales using a cardiac motion atlas to find the optimal scales for estimating different cardiac biomarkers. We apply a multi-scale strain analysis to a 43 patient cohort of cardiac resynchronisation therapy (CRT) patients using tagged magnetic resonance imaging data for (1) predicting response to CRT, (2) identifying septal flash, (3) estimating QRS duration, and (4) identifying the presence of ischaemia. A repeated, stratified cross-validation is used to demonstrate the importance of spatial scale in our analysis, revealing different optimal spatial scales for the estimation of different biomarkers.
AB - Abnormal cardiac motion can indicate different forms of disease, which can manifest at different spatial scales in the myocardium. Many studies have sought to characterise particular motion abnormalities associated with specific diseases, and to utilise motion information to improve diagnoses. However, the importance of spatial scale in the analysis of cardiac deformation has not been extensively investigated. We build on recent work on the analysis of myocardial strains at different spatial scales using a cardiac motion atlas to find the optimal scales for estimating different cardiac biomarkers. We apply a multi-scale strain analysis to a 43 patient cohort of cardiac resynchronisation therapy (CRT) patients using tagged magnetic resonance imaging data for (1) predicting response to CRT, (2) identifying septal flash, (3) estimating QRS duration, and (4) identifying the presence of ischaemia. A repeated, stratified cross-validation is used to demonstrate the importance of spatial scale in our analysis, revealing different optimal spatial scales for the estimation of different biomarkers.
KW - Cardiac motion atlas
KW - Cardiac resynchronisation therapy
KW - Multi-scale strain
UR - http://www.scopus.com/inward/record.url?scp=85032675854&partnerID=8YFLogxK
U2 - 10.1016/j.media.2017.10.004
DO - 10.1016/j.media.2017.10.004
M3 - Article
C2 - 29112879
AN - SCOPUS:85032675854
SN - 1361-8415
VL - 43
SP - 1339
EP - 1351
JO - Medical Image Analysis
JF - Medical Image Analysis
ER -