Keywords: Data Processing, Spectroscopy, Assist of scan planning
Motivation: No good algorithms are available for searching volume of interests (VOIs) of MRS even if good segmentation methods like neural networks are available.
Goal(s): To run a 3-dimensional full search method in practical processing time.
Approach: Evaluating all voxels within a VOI is too slow. To overcome this problem, the summed-area table is computed for each set of rotation angles in the 9-dimensional searching parameter space. By using the table, an objective function can be computed with only 8 adding/subtracting operations.
Results: By compared with a naïve method, the proposed 3-dimensional full search algorithm accelerated approximate 200 times.
Impact: This abstract presents a fast search method using a new fast 3-dimensional full search algorithm for setting volume of interests of MRS using a segmentation network. The proposed algorithm accelerated search approximate 200 times using 3-dimensional summed-area tables.
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