title: Assessment of cardiac mass from tagged magnetic resonance images.
abstract: OBJECTIVE
  Tagged and cine magnetic resonance imaging (tMRI and cMRI) techniques are used for evaluating regional and global heart function, respectively. Measuring global function parameters directly from tMRI is challenging due to the obstruction of the anatomical structure by the tagging pattern. The purpose of this study was to develop a method for processing the tMRI images to improve the myocardium-blood contrast in order to estimate global function parameters from the processed images.
  
  
  METHODS
  The developed method consists of two stages: (1) removing the tagging pattern based on analyzing and modeling the signal distribution in the image's k-space, and (2) enhancing the blood-myocardium contrast based on analyzing the signal intensity variability in the two tissues. The developed method is implemented on images from twelve human subjects.
  
  
  RESULTS
  Ventricular mass measured with the developed method showed good agreement with that measured from gold-standard cMRI images. Further, preliminary results on measuring ventricular volume using the developed method are presented.
  
  
  CONCLUSIONS
  The promising results in this study show the potential of the developed method for evaluating both regional and global heart function from a single set of tMRI images, with associated reduction in scan time and patient discomfort.
authors.affiliation: Helwan University, Cairo, Egypt. abram_william@h-eng.helwan.edu.eg.
authors.forename: Abram W
authors.initials: AW
authors.lastname: Makram
authors.affiliation: Helwan University, Cairo, Egypt. aymankhalifa2002@yahoo.com.
authors.forename: Ayman M
authors.initials: AM
authors.lastname: Khalifa
authors.affiliation: Nile University, Cairo, Egypt. hossamahmed49@yahoo.com.
authors.forename: Hossam
authors.initials: H
authors.lastname: El-Rewaidy
authors.affiliation: Nile University, Cairo, Egypt. fahmy@k-space.org.
authors.forename: Ahmed S
authors.initials: AS
authors.lastname: Fahmy
authors.affiliation: University of Michigan, Ann Arbor, USA. elsayei@umich.edu.
authors.forename: El-Sayed H
authors.initials: el-SH
authors.lastname: Ibrahim
mesh_terms: D000465:Algorithms; D003287:Contrast Media; D006331:Heart Diseases / Q000000981:diagnostic imaging*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000379:methods*; D019028:Magnetic Resonance Imaging, Cine; D025341:Principal Component Analysis
chemical_list: D003287:Contrast Media
keywords: Cardiac mass; Detagging; MRI; Mean shift theorem; Tagging