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Radiographics. 2002 Sep-Oct;22(5):1255-68.

AAPM/RSNA physics tutorial for residents: topics in CT. Image processing in CT.

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1
Division of Diagnostic Imaging, Department of Imaging Physics, University of Texas M. D. Anderson Cancer Center, 1515 Holcombe Blvd, Box 56, Houston, TX 77030-4009, USA. dcody@mdanderson.org

Abstract

Several image-processing methods for computed tomographic (CT) examinations are currently being used in clinical radiology departments. Image processing involves operations such as reformatting of original CT images, volume-rendered displays, surface-rendered displays, and physiologic imaging analysis. The reformatting process does not alter the CT voxels in any way; instead it uses them in off-axis views and displays the images produced from the original reconstruction process in an orientation other than how they were originally generated. Sagittal, coronal, oblique, and curved reformatting are standard reformatting methods. Other reformatting techniques include maximum-intensity projection, minimum-intensity projection, and variable thickness viewing. Volume and surface rendering are two different methods for reformatting axial images into three-dimensional views. CT perfusion allows the measurement of physiologic parameters over time. Additional postprocessing efforts can potentially add value to the patients and their outcomes, as can be seen in the cases that illustrate this article.

[Indexed for MEDLINE]

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