Dear Advanced Visualization Insider,
A team from Massachusetts General Hospital (MGH) has developed an automated, computer-aided software application for analyzing functional MR images, with the goal of more accurately estimating how much viable tumor volume is left after treatment.
In a study of patients who were being treated for soft-tissue sarcoma, the MGH 3D software showed a strong correlation with estimates generated from pathology. The technique, which could possibly be applied to other tumors, may be able to make up for shortcomings in currently used criteria, and avoid the need for pathology tumor estimates to be performed on all cut sections of an excised tumor.
Our coverage of the MGH research is this edition's Insider Exclusive. You can access the article before our other members by clicking here.
In other news in the Advanced Visualization Digital Community, an augmented reality image overlay system was found to provide accurate MR guidance of shoulder and hip arthrography procedures. This could allow joint injection and MRI to be combined into a single procedure, according to a research team led by Dr. Jan Fritz of Johns Hopkins University School of Medicine. For that article, click here.
Computer-aided detection (CAD) software might be able to lower the interobserver variability issues associated with low-dose CT lung cancer screening, a Korean research team found. Get the details here.
Meanwhile, a Singapore group has found that using digital watermarks enables detection of tampering with 3D images.
Also learn how an automated data processing system developed at the U.S. National Institutes of Health has sparked adoption of multimodality image registration and physiologic image processing. And read about the pros and cons of using native apps and Web-based viewers for accessing medical images on mobile devices by clicking here.
Finally, get the skinny on the U.S. Food and Drug Administration's final guidance documents on how it plans to regulate CAD technology.
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