Analysis of image-reconstruction algorithms for circular, cone-beam CT by Hotelling observer performance on a detection task.
We apply task-based evaluation methods to image-reconstruction in circular cone-beam CT. The particular task considered is that of detection of a micro-calcification of known location in a known background; namely a signal-known-exactly/background-known-exactly (SKE/BKE) detection task. The image-reconstruction algorithms are evaluated based on efficiency for detection. This task-based metric can be applied to any linear image-reconstruction algorithm, such as the FDK algorithm or other more recent approximate methods for image-reconstruction in circular, cone-beam CT.
Sidky
Emil Y
EY
University of Chicago, Department of Radiology, Chicago, IL 60637, USA.
Pan
Xiaochuan
X
D000465:Algorithms; D054893:Cone-Beam Computed Tomography / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity