Computed tomography dataset postprocessing: from data to knowledge.
The introduction of spiral computed tomography from the days of single-slice spiral to today's 64-row multidetector computed tomography and beyond creates datasets with unprecedented spatial and temporal resolution. The key to computed tomography imaging in the big picture is not in the acquisition of data, but in the use of the data acquired. By supplementing traditional axial interpretation with 3-dimensional rendering of the computed tomography volume, the greatest amount of information available is extracted. The information provided by a comprehensive postprocessed study, which includes multiplanar reconstruction in the coronal, sagittal, and oblique plane, as well as 3-dimensional maps of both the arterial and venous phase datasets using volume rendering and maximum intensity projection techniques, allows for key clinical decisions to be made with a high degree of accuracy. Postprocessing of computed tomography data is thus no longer an option, but a true requirement in this era of 64-row multidetector computed tomography and beyond.
Department of Radiology, Johns Hopkins Hospital, Baltimore, MD, USA. pjohnso5@jhmi.edu
Pamela T
PT
Johnson
Elliot K
EK
Fishman
D000465:Algorithms; D003627:Data Interpretation, Statistical; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D013997:Time Factors; D036542:Tomography, Spiral Computed / Q000295:instrumentation* / Q000379:methods / Q000706:statistics & numerical data; D014481:United States