Nihon Medi-physics Company, Limited

University of Washington

Foundation for Biomedical Research and Innovation at Kobe

Shuya Miki

Kiyotaka Watanabe

Kazuo Hamada

Kazuhiro Nishikawa

Satoshi Minoshima

Kazunari Ishii

Go Akamatsu

Michio Senda

Yasuhiko Ikari

In imaging analysis of a living body, a Region Of Interest (ROI) is set on the basis of the state of radiopharmaceutical accumulation. An example for setting an ROI includes: performing first transformation for anatomically standardizing, with the use of a positive template, a nuclear medicine image acquired by applying a radiopharmaceutical to a subject; performing second transformation for anatomically standardizing, with the use of a negative template, the nuclear medicine image; calculating a degree of similarity between a first anatomical standardization image acquired by the first transformation and the positive template; calculating a degree of similarity between a second anatomical standardization image acquired by the second transformation and the negative template; and applying, to an ROI template, inverse transformation of the first transformation or the second transformation, whichever has the higher of the calculated degrees of similarity, in order to set the ROI.

ROI setting technique for imaging test of living body

CPUreads out the bloodstream associated values of target voxel of subject's standardized brain bloodstream images (step S). CPUsorts the bloodstream associated values in descending order (step S). CPUrejects bloodstream associated values that are ranked top 10% and bottom 40% (step S). When the subjects are 20 for example, bloodstream associated values of highest 2 subjects and of lowest 8 subjects are rejected. CPUcalculates and stores mean value and standard deviation of remaining bloodstream associated values after the rejection (step S). CPUcalculates mean value and standard deviation of bloodstream associated values for each voxel as target voxel (steps S, S, Sand S). Then, the alternative normal brain database of brain bloodstream image is obtained.

Device for generating alternative of normal brain database

A method of detecting a neurodegenerative disease includes (a) a standardization step of creating a first image by applying anatomical standardization to a brain nuclear medical image; (b) a conversion step of creating a second image by converting the pixel value of each pixel of an image based on the first image into a z score or a t value; (c) an addition step of calculating the sum of the pixel values of individual pixels in a predetermined region of interest in the second image; and (d) a detection step of obtaining the results of the detection of the neurodegenerative disease through an operation of comparison of the sum with a predetermined threshold.

Neurodegenerative disease detection method, detecting program, and detector

Growing community of inventors

Tokyo, Japan

Shuya Miki