title: Visualization techniques in computed tomographic coronary angiography.
abstract: Cardiac computed tomography (CT) scans can produce enormous datasets (>3,000 images), making traditional axial image interpretation un-workable. Previously existing and new techniques including multiplanar reformats, volume rendering, maximum intensity projections, curved multiplanar reformats, and "4D" (time-resolved) methods have all been used to increase diagnostic accuracy and reduce interpretation times. The methods and applications of these techniques to cardiac anatomy will be reviewed and discussed with an eye toward practical film interpretation.
authors.affiliation: Department of Radiology, Emory University School of Medicine, Emory University Hospital, Atlanta, GA 30060, USA.
authors.forename: Gopi Kiran Reddy
authors.initials: GK
authors.lastname: Sirineni
authors.forename: Mannudeep Karanvir Singh
authors.initials: MK
authors.lastname: Kalra
authors.forename: Krishna Mohan
authors.initials: KM
authors.lastname: Pottala
authors.forename: Mushabbar Ali
authors.initials: MA
authors.lastname: Syed
authors.forename: Stefan
authors.initials: S
authors.lastname: Tigges
authors.forename: Aaron Darius
authors.initials: AD
authors.lastname: Cann
mesh_terms: D003287:Contrast Media; D017023:Coronary Angiography / Q000379:methods*; D006331:Heart Diseases / Q000000981:diagnostic imaging*; D006801:Humans; D021621:Imaging, Three-Dimensional; D011857:Radiographic Image Interpretation, Computer-Assisted; D014057:Tomography, X-Ray Computed
chemical_list: D003287:Contrast Media