Khan M. Siddiqui

TL;DR: A new, continuous parametrization of the anatomy localization problem, which allows it to be addressed effectively by multi-class random regression forests, and is more accurate and robust than techniques based on efficient multi-atlas registration and template-based nearest-neighbor detection.

TL;DR: The evolutionary changes underway in the radiology interpretation process are addressed and a number of developments in soft-copy interpretation are reviewed, which is migrating from a relatively static process, duplicating film-based interpretation, to a dynamic process, using multi-planar reconstruction, volumetric navigation, and electronic decision support tools.

TL;DR: Intervendor difference is, by far, the largest cause of variability in perfusion results relative to interoperator and intraoperator difference, and caution should be exercised when interpreting quantitative CT perfusion values because these values may vary considerably depending on the postprocessing software.

TL;DR: In this article, a patient information interface system presented an aggregated, graphical view of patient anatomy and history, including a graphical representation of at least a portion of a human anatomy including one or more indicators, aggregated from a plurality of clinical information sources and located at anatomical locations on the representation.

TL;DR: In the current practice environment, with capacity utilization rates well below 80%, CR is likely to be a more cost-effective technology for the majority of general radiography providers.