ROCHESTER, N.Y., Feb. 22 /PRNewswire-FirstCall/ -- VirtualScopics, Inc. , a leading developer of image-related biomarkers, announced today that the company co-authored and presented three studies at the International Society for Optical Engineering (SPIE) medical imaging meeting in San Diego, February 11-16. The studies describe utilizing automated computerized approaches to measure and evaluate progression of musculoskeletal disease as captured in images from magnetic resonance imaging (MRI) or computed tomography (CT).
The studies included VirtualScopics' co-authors Saara Totterman, M.D., Ph.D., chief medical officer; Jose Tamez-Pena, Ph.D., chief technical officer; Zhiyong Xie, senior imaging scientist and Monica Barbu-McInnis, imaging scientist.
The first presentation entitled, "Segmentation by Surface-to-Image Registration," addresses the use of a computer software algorithm to segment and image cartilage degradation and thinning in MR images of rat knees, and showing that this automated approach yields similar results to that of using experts to review the images. Small animal models are frequently used in pre- clinical studies, so it is important that researchers employ approaches which can successfully identify anatomical structures in small animals.
The second presentation, entitled, "Measurement of Pelvic Osteolytic Lesions in Follow-Up Studies after Total Hip Arthroplasty," demonstrates the effectiveness of automating the detection of lesions over the course of a longitudinal study among subjects who have undergone hip replacement.
The last presentation, "Unsupervised Definition of the Tibia-Femoral Joint Regions of the Human Knee and its Applications to Cartilage Analysis," demonstrates the use of a computer algorithm to recognize bone landmarks in MR images of the knee, and to automatically identify and label the surrounding structures for analysis.
"Identifying various structures of the musculoskeletal system from analyst review of medical images is not always precise and reproducible due to the lack of clear anatomical features," said Bob Klimasewski, president and CEO of VirtualScopics. "This can lead to variance in the way images are interpreted by different analysts at different time-points. Automating the recognition and analysis of structures of interest, and reducing measurement error, allows clinical trials to be conducted with greater accuracy, fewer subjects, less time and lower cost."
About VirtualScopics, Inc.
VirtualScopics, Inc. is a provider of advanced medical image analysis services. The company evolved from research first carried out at the University of Rochester Medical Center and School of Engineering. VirtualScopics has created a suite of image analysis tools used in detecting and analyzing specific structures in volumetric medical images, as well as characterizing minute changes in structures over time, providing vital information to support clinical trials and diagnostic applications. The firm's proprietary software algorithms can assemble hundreds of separate medical images taken during an MRI session into a single, three-dimensional model, bringing a new and previously unobtainable source of data to clinical researchers. For more information about VirtualScopics, visit www.virtualscopics.com.
Forward-Looking Statements
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CONTACT: Tracy Bagatelle-Black Bagatelle-Black Public Relations 661/263-1842 tracy@bagatelleblack.com
VirtualScopics, Inc.CONTACT: Tracy Bagatelle-Black of Bagatelle-Black Public Relations,+1-661-263-1842, or tracy@bagatelleblack.com, for VirtualScopics, Inc.
Web site: http://www.virtualscopics.com/
