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Abstract #4830

A Fast 3-dimensional Full Search Algorithm for Setting Volume of Interests of MR Spectroscopy in Brain Tumor Images

Hidenori Takeshima1 and Shuki Maruyama2
1Advanced Technology Research Department, Research and Development Center, Canon Medical Systems Corporation, Tokyo, Japan, 2Imaging Modality Group, Advanced Technology Research Department, Research and Development Center, Canon Medical Systems Corporation, Tochigi, Japan

Synopsis

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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