TY - JOUR
AU - Zhong, Liang
AB - zhong.liang@nhcs.com.sg National Heart Centre Background: Misalignment in cardiac magnetic resonance (CMR) images can adversely Singapore, 5 Hospital Drive, affect three ‑ dimensional left ventricle modelling and downstream quantitative analysis. Singapore 169609, Singapore Full list of author information Currently, there are two types of approaches for dealing with realignment and motion is available at the end of the distortion problems, one image based and the other geometry based. Image‑ based article approaches are limited by the inherent non‑ homogeneity and anisotropy of CMR images. Geometry‑ based approaches rely on idealized models and over‑ simplified assumptions. This study was motivated by the need for a robust and effective approach for correcting motion related distortions due to misalignment in CMR images. Methods: A cine cardiac magnetic resonance image sequence was acquired using our routine clinical imaging protocol. The left ventricular endocardium was deline‑ ated manually with software assistance on all long and short‑ axis images. Long and short‑ axis contours were projected onto a patient‑ based coordinate system and then realigned using iterative registration. The realigned contour points were used to recon‑ struct the shape of the left ventricle for quantitative validation. Results: The method was tested on five myocardial infarction patients 
TI - Correcting motion in multiplanar cardiac magnetic resonance images
JF - BioMedical Engineering OnLine
DO - 10.1186/s12938-016-0216-8
DA - 2016-08-08
UR - https://www.deepdyve.com/lp/springer-journals/correcting-motion-in-multiplanar-cardiac-magnetic-resonance-images-pViMVALF9W
SP - 1
EP - 16
VL - 15
IS - 1
DP - DeepDyve
ER -