title: 3D visualization of cardiac anatomical MRI data with para-cellular resolution.
abstract: Advances in research and clinical techniques are providing increasing quantities of data at improved spatio-temporal resolution. It is therefore imperative to develop matching approaches for efficient analysis and intuitive presentation of this data. Using the example of advanced magnetic resonance imaging, this article will illustrate the challenges involved in computational reconstruction and interactive visualization of the three-dimensional cardiac anatomy, based on magnetic resonance imaging data with para-cellular resolution.
authors.affiliation: School of Computing, University of Leeds, Leeds, UK. ceg@comp.leeds.ac.uk
authors.forename: Christopher E
authors.initials: CE
authors.lastname: Goodyer
authors.forename: Vicente
authors.initials: V
authors.lastname: Grau
authors.forename: Tahir
authors.initials: T
authors.lastname: Mansoori
authors.forename: Jurgen E
authors.initials: JE
authors.lastname: Schneider
authors.forename: Ken W
authors.initials: KW
authors.lastname: Brodlie
authors.forename: Peter
authors.initials: P
authors.lastname: Kohl
mesh_terms: D006321:Heart / Q000033:anatomy & histology*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D012984:Software