Because it is highly operator dependent, 3D post-processing of volumetric patient data can have inconsistent quality depending on the experience of the technologist. Quality control (QC) programs, however, can help reduce errors without negatively impacting productivity, according to a study in the January issue of the American Journal of Roentgenology.
AJR: Quality control cuts 3D post-processing errors, preserves productivity
This blog provides information on conferences and novelties in the area of Medical Imaging Informatics (MII). MII has a broad scope ranging from the Radiology Information System and Picture Archiving and Communication System (PACS) to Advanced Visualization and Computer Aided Diagnosis (CAD). To find new opportunities in healthcare we need to look at informatics solutions in other areas to apply them into the medical field to achieve higher level healthcare at lower costs.
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