ITTC Project

Multi-Dimensional Companding Based Sonoelasticity and Scatterer Size Imaging with the TMS230-Based System

Project Award Date: 04-01-1999


KU Medical Center researchers have developed medical ultrasound imaging algorithms to image tissue anatomy at several spatial scales. Images generated by these algorithms provide vital diagnostic information that is not available from todays medical imaging technology. A major hurdle in using these algorithms clinically for dynamic studies is the slow processing speed. The aim of this project is to employ Texas Instruments advanced TMS320 Digital Signal Processor.

The KUMC imaging algorithm is currently written in FORTRAN. The first task, after investigating the underlying mathematical principles of this algorithm, is to convert it to ANSI C code, insuring that the most efficient routines are employed in the conversion. After the installation of the KUMC imaging algorithm on the Texas Instruments TMC320 Digital Signal Processor, it will be tested for proper operation. Ultimately, potential methods for increasing the performance of the algorithm on the TMS320 DSP processor will be examined. Performance will be optimized by testing simulated and real data.

The employment of the Texas Instruments TMS320DSP along with the KUMC imaging algorithm could potentially open new markets and many other exciting applications for existing imaging technologies.


Faculty Investigator(s): Glenn Prescott (PI)

Project Sponsors

Primary Sponsor(s): University of Kansas Medical Center

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