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2 June 2000 Lessons from image perception studies for the design of medical imaging systems
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Abstract
Our laboratory uses image perception studies to optimize the acquisition and processing of image sequences from x-ray fluoroscopy and interventional MRI (iMRI) both of which are used to guide complex minimally invasive treatments of cancer and vascular disease. Fluoroscopy consists of high frame rate, quantum-limited image sequences. Since it accounts for over half of the diagnostic population x-ray dose, we attempt to reduce dose by optimizing image acquisition and filtering. We quantify image quality using human detection experiments and modeling. Human spatio-temporal processing greatly affects results. For example, spatial noise reduction filtering is significantly more effective on image sequences than on single image frames where it gives relatively little improvement due to the deleterious effect of spatial noise correlation. At CWRU, we use iMRI to guide a radio-frequency probe used for the thermal ablation of cancer. Improving the speed and accuracy of insertion to the target will reduce patient risk and discomfort. We are investigating keyhole imaging whereby one updates only a portion of the Fourier domain at each time step, producing a fast, approximate image sequence. To optimize the very large number of techniques and parameters, we use a perceptual difference model that quantifies the degrading effects introduced by fast MR imaging, including the blurring of interventional devices. Preliminary studies show that a perpendicular frequency encoding direction provides superior image quality in the region of interest compared to other keyhole stripe orientations. Together these two applications illustrate that image perception studies can impact the design of medical imaging systems.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David L. Wilson, Kadri N. Jabri, Ravindra M. Manjeshwar, Yogesh Srinivas, and Kyle A. Salem "Lessons from image perception studies for the design of medical imaging systems", Proc. SPIE 3959, Human Vision and Electronic Imaging V, (2 June 2000); https://doi.org/10.1117/12.387163
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