PMID- 26528793
OWN - NLM
STAT- MEDLINE
DCOM- 20160930
LR  - 20160108
IS  - 1873-5894 (Electronic)
IS  - 0730-725X (Linking)
VI  - 34
IP  - 2
DP  - 2016 Feb
TI  - Cine viability magnetic resonance imaging of the heart without increased scan 
      time.
PG  - 183-90
LID - S0730-725X(15)00267-2 [pii]
LID - 10.1016/j.mri.2015.10.030 [doi]
AB  - Cardiac magnetic resonance imaging (MRI) provides information about myocardial 
      morphology, function, and viability from cine, tagged, and late gadolinium 
      enhancement (LGE) images, respectively. While the cine and tagged images are 
      acquired in a time-resolved fashion, the LGE images are acquired at a single 
      timeframe. The purpose of this work is to develop a method for generating cine 
      LGE images without additional scan time. The motion field is extracted from the 
      tagged images, and is then used to guide the deformation of the infarcted region 
      from the acquired LGE image at the acquired timeframe to any other timeframe. 
      Major techniques for motion estimation, including harmonic phase (HARP) and 
      optical flow analysis, are tested in this work for motion estimation. The 
      proposed method is tested on numerical phantom and images from four human 
      subjects. The generated cine LGE images showed both viability and wall motion 
      information in the same set of images without additional scan time or image 
      misregistration problems. The band-pass optical flow analysis resulted in the 
      most accurate motion estimation compared to other methods, especially HARP, which 
      fails to track points at the myocardial boundary. Infarct transmurality from the 
      generated images showed good agreement with myocardial strain, and wall 
      thickening showed good agreement with that measured from conventional cine 
      images. In conclusion, the developed technique allows for generating cine LGE 
      images that enable simultaneous display of wall motion and viability information. 
      The generated images could be useful for estimating myocardial contractility 
      reserve and for treatment prognosis.
CI  - Copyright (c) 2015 Elsevier Inc. All rights reserved.
FAU - Hassanein, Azza S
AU  - Hassanein AS
AD  - Helwan University, Cairo, Egypt.
FAU - Khalifa, Ayman M
AU  - Khalifa AM
AD  - Helwan University, Cairo, Egypt.
FAU - Ibrahim, El-Sayed H
AU  - Ibrahim el-SH
AD  - University of Michigan, Ann Arbor, USA. Electronic address: elsayei@umich.edu.
LA  - eng
PT  - Journal Article
DEP - 20151031
PL  - Netherlands
TA  - Magn Reson Imaging
JT  - Magnetic resonance imaging
JID - 8214883
SB  - IM
MH  - *Algorithms
MH  - Humans
MH  - Image Enhancement/*methods
MH  - Image Interpretation, Computer-Assisted/*methods
MH  - Magnetic Resonance Imaging, Cine/*methods
MH  - Reproducibility of Results
MH  - Sensitivity and Specificity
MH  - Ventricular Dysfunction, Left/*pathology
OTO - NOTNLM
OT  - Cine imaging
OT  - Coronary artery disease
OT  - Delayed enhancement
OT  - Tagging
EDAT- 2015/11/04 06:00
MHDA- 2016/10/01 06:00
CRDT- 2015/11/04 06:00
PHST- 2015/08/12 00:00 [received]
PHST- 2015/10/21 00:00 [accepted]
PHST- 2015/11/04 06:00 [entrez]
PHST- 2015/11/04 06:00 [pubmed]
PHST- 2016/10/01 06:00 [medline]
AID - S0730-725X(15)00267-2 [pii]
AID - 10.1016/j.mri.2015.10.030 [doi]
PST - ppublish
SO  - Magn Reson Imaging. 2016 Feb;34(2):183-90. doi: 10.1016/j.mri.2015.10.030. Epub 
      2015 Oct 31.