Spatial-spectral filters for multi-material decomposition in computed tomography

Unmet Need
More than 80 million CT scans are conducted every year in the US to detect and monitor a variety of diseases such as cancer, heart disease, and bone disorders. CT scans make use of computer-processed combinations of X-ray measurements to produce images of the patient’s body. The methods for this processing are constantly changing due to advancements in medical imaging technologies. Recently, a new phase of CT evolution has developed due to the prominence of spectral imaging. Spectral CT improves the diagnostic performance of conventional CT systems, and helps differentiate tissues and pathologies in real time. Since spectral CT is relatively new, novel and cutting-edge enhancements to the technology are necessary for its transition to practical use in hospitals and clinics.


Technology Overview
The disclosed technology is a hardware invention whose application utilizes particular implementation of a sophisticated computer algorithm for spectral CT scanning. The device is a specialized filter that allows for decomposition of objects/anatomies into different material categories, much like a conventional spectral CT scan. This technology improves on existing spectral CT devices because it allows for multiple spectral acquisitions in a single standard data collection and uses simple hardware modifications and traditional detector technology. This technology increases sensitivity with source side spectral control, which ultimately improves the efficacy of the image scan.


Stage of Development
A working prototype is in development.


Publications
Webster Stayman J, Tilley S 2nd. Model-based Multi-material Decomposition using Spatial-Spectral CT Filters. Conf Proc Int Conf Image Form Xray Comput Tomogr. 2018;2018:102–105.
Tivnan M, Tilley Ii S, Stayman JW. Physical Modeling and Performance of Spatial-Spectral Filters for CT Material Decomposition. Proc SPIE Int Soc Opt Eng. 2019;10948:109481A.

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