MRS. REBECCA M SMITH, A.N.P.
Nursing at Beaufont Springs Dr, Richmond, VA

8538117, Sep 17, 2013

Mar 17, 2010

13/255542

Kayvan Najarian - Glen Allen VA, US
Simina Vasilache - Annandale VA, US
Rebecca Smith - Richmond VA, US
Kevin R. Ward - Glen Allen VA, US

Virginia Commonwealth University - Richmond VA

G06K 9/00, A61B 6/00, A61B 5/05

382131, 378 4, 600407

Accurate pelvic fracture detection is accomplished with automated X-ray and Computed Tomography (CT) images for diagnosis and recommended therapy. The system combines computational methods to process images from two different modalities, using Active Shape Model (ASM), spline interpolation, active contours, and wavelet transform. By processing both X-ray and CT images, features which may be visible under one modality and not under the other are extracted and validates and confirms information visible in both. The X-ray component uses hierarchical approach based on directed Hough Transform to detect pelvic structures, removing the need for manual initialization. The X-ray component uses cubic spline interpolation to regulate ASM deformation during X-ray image segmentation. Key regions of the pelvis are first segmented and identified, allowing detection methods to be specialized to each structure using anatomical knowledge. The CT processing component is able to distinguish bone from other non-bone objects with similar visual characteristics, such a blood and contrast fluid, permitting detection and quantification of soft tissue hemorrhage.