Mitsubishi Electric Corporation

Nihon Medi-Physics Company, Limited

University of Washington

Mitsubishi Electric Building Solutions Corporation

Kiyotaka Watanabe

Takuya Hashiguchi

Kotaro Watanabe

Yoshiko Ono

Shuya Miki

Seiichi Kumagai

Takaya Taniguchi

Shinichi Kato

Koji Sakata

Keita Mochizuki

Ian Emerson Random

Hiroshi Sasai

Junji Hori

Kazuo Hamada

Ryosuke Kawanishi

Makito Seki

Kazuhiro Nishikawa

Satoshi Minoshima

Mami Naruse

Marina Kousaka

Kazunari Ishii

Display screen with graphical user interface

Provided is an edit unit that checks, as time data, a designated time received in an input unit, against a map data DB to identify map data corresponding to the designated time. Upon the receipt of the designated time in the input unit, a map-data generating unit redoes the update of the map data, identified by the edit unit, using measurement data newly acquired after the designated time is received in the input unit.

Map data generator and method for generating map data

A phase calculation unit () calculates, as a first phase, a deflection angle of a first similarity vector having a first similarity and a second similarity calculated by a similarity calculation unit () as elements. The phase calculation unit () calculates, as a second phase, a deflection angle of a second similarity vector having a third similarity and a fourth similarity calculated by the similarity calculation unit () as elements. A period calculation unit () calculates a period of a pattern formed on a long body on the basis of the first phase and the second phase calculated by the phase calculation unit (). An abnormality detection unit () detects an abnormality in the long body on the basis of the period calculated by the period calculation unit ().

Detection device

Mobile mapping device

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

Kiyotaka Watanabe