Automated measurement of fracture callus in radiographs using portable software
Journal of Orthopaedic Research
The development of software applications that assist the radiographic evaluation of fracture healing could advance clinical diagnosis and expedite the identification of effective treatment strategies. A radiographic feature regularly used as an outcome measure for basic and clinical fracture healing research is new bone growth, or fracture callus. In this study, we developed OrthoRead, a portable software application that uses image-processing algorithms to detect and measure fracture callus in plain radiographs. OrthoRead utilizes an optimal boundary tracking algorithm to semi-automatically segment the cortical surface, and a novel iterative thresholding selection algorithm to then automatically segment the fracture callus.
See PublicationComparison of Callus Detection using 2D Computerized Radiographic Image Analysis and 3D Computed Tomography Scans
American Academy of Orthopaedic Surgeons
This abstract outlines a comparison of three dimensional CT scans with four two dimensional radiograph images segmented using OrthoRead (a portable software application developed to measure fracture callus in radiographs I developed as an undergrad).
See PublicationA Portable Software Application to Measure Fracture Callus in Radiographs
Orthopaedic Research Society
This abstract outlines the Java application I programmed during my time as an Undergraduate Research Assistant at Northwest Tissue Mechanics Lab. On this abstract, I am listed as first author and it was submitted and accepted by the Orthopedic Research Society.
See Publication