1 June 1992 Intensity-sorting algorithm for generating MR angiograms
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Abstract
Maximum-intensity projection (MIP) algorithms are currently used for construction of magnetic resonance (MR) angiograms. In this application, projections calculated at different angles through the image are used to form a cine loop, thus providing a three-dimensional representation from which vascular structure may be deciphered. MIP algorithms cast parallel rays through the MR image volume which has been acquired such that the flow within the vasculature has the highest intensities. The maximum voxel intensity along each ray is placed on the projection plane where the ray meets the plane. Thus, the flow within the vasculature shows up in the projection plane. This research strives to discover methods of reducing the projection calculation time, thus making the technology more accessible to users of less powerful systems. A novel approach was developed for calculating projections in which each image slice was pre-sorted into bins of intensities. By thresholding the intensities used, the background pixels can be ignored and only those intensities that relate to flow are used in the projection. Thresholding reduces the total number of pixels considered for the projection plane, thereby saving calculation time. Additional time savings resulted from precalculating projection `templates' and filling multiple projection planes at the same time. The algorithms were written in C on a 80386-based system. The new algorithm demonstrated more than a seven-fold increase in projection calculation speed over a benchmark algorithm.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steven Schreiner, Steven Schreiner, Robert L. Galloway, Robert L. Galloway, Charles A. Edwards, Charles A. Edwards, Judith G. Thomas, Judith G. Thomas, } "Intensity-sorting algorithm for generating MR angiograms", Proc. SPIE 1652, Medical Imaging VI: Image Processing, (1 June 1992); doi: 10.1117/12.59423; https://doi.org/10.1117/12.59423
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