Image quality optimization using an x-ray spectra model-based optimization method

Clarence L. Gordon III

doi:10.1117/12.384521

25 April 2000 Image quality optimization using an x-ray spectra model-based optimization method

Clarence L. Gordon III

Proceedings Volume 3977, Medical Imaging 2000: Physics of Medical Imaging; (2000) https://doi.org/10.1117/12.384521
Event: Medical Imaging 2000, 2000, San Diego, CA, United States

Abstract

Several x-ray parameters must be optimized to deliver exceptional fluoroscopic and radiographic x-ray Image Quality (IQ) for the large variety of clinical procedures and patient sizes performed on a cardiac/vascular x-ray system. The optimal choice varies as a function of the objective of the medical exam, the patient size, local regulatory requirements, and the operational range of the system. As a result, many distinct combinations are required to successfully operate the x-ray system and meet the clinical imaging requirements. Presented here, is a new, configurable and automatic method to perform x-ray technique and IQ optimization using an x-ray spectral model based simulation of the x-ray generation and detection system. This method incorporates many aspects/requirements of the clinical environment, and a complete description of the specific x-ray system. First, the algorithm requires specific inputs: clinically relevant performance objectives, system hardware configuration, and system operational range. Second, the optimization is performed for a Primary Optimization Strategy versus patient thickness, e.g. maximum contrast. Finally, in the case where there are multiple operating points, which meet the Primary Optimization Strategy, a Secondary Optimization Strategy, e.g. to minimize patient dose, is utilized to determine the final set of optimal x-ray techniques.

Citation Download Citation

Clarence L. Gordon III "Image quality optimization using an x-ray spectra model-based optimization method", Proc. SPIE 3977, Medical Imaging 2000: Physics of Medical Imaging, (25 April 2000); https://doi.org/10.1117/12.384521

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