title: A segmentation and tracking system for 4D cardiac tagged MR images.
abstract: In this paper we present a robust method for segmenting and tracking cardiac contours and tags in 4D cardiac MRI tagged images via spatio-temporal propagation. Our method is based on two main techniques: the Metamorphs segmentation for robust boundary estimation, and the tunable Gabor filter bank for tagging lines enhancement, removal and myocardium tracking. We have developed a prototype system based on the integration of these two techniques, and achieved efficient, robust segmentation and tracking with minimal human interaction.
authors.affiliation: Center for Computational Biomedicine Imaging and Modeling, Rutgers University, Piscataway, NJ 08854, USA. dnm@cs.rutgers.edu
authors.forename: Dimitris N
authors.initials: DN
authors.lastname: Metaxas
authors.forename: Leon
authors.initials: L
authors.lastname: Axel
authors.forename: Zhen
authors.initials: Z
authors.lastname: Qian
authors.forename: Xiaolei
authors.initials: X
authors.lastname: Huang
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D006321:Heart / Q000033:anatomy & histology*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012984:Software; D014584:User-Computer Interface