Abstract: An image processing apparatus includes an image acquisition unit acquiring a medical image, a region setting unit setting a peripheral region around an inner region set in the medical image as a region including a lesion, an intensity value ratio distribution calculation unit calculating a histogram comprising a distribution of intensity value ratios for the inner region and calculating a histogram being a distribution of intensity value ratios for the peripheral region, a ratio difference calculation unit that calculates a ratio difference comprising a difference between intensity value ratios in the inner region and peripheral regions for each of predetermined intensity values, an intensity value determination unit selecting a pixel to be highlighted in the medical image based on the ratio difference, and a display processing unit outputting the medical image whereby the pixel selected by the pixel selection unit is highlighted in the medical image to a display device.

Abstract: Provided is a technique for comprehensively understanding the relationship between brain regions. A brain connectivity analysis system herein includes a memory configured to have stored therein a connectivity analysis program for analyzing the connectivity; and a processor configured to read the connectivity analysis program from the memory and analyze the connectivity. The processor is configured to execute a process of acquiring from a storage unit measured data on a plurality of selected regions of a brain, a process of determining at least two of the plurality of regions as seed regions and calculating a plurality of connectivity features for the seed regions and other regions from the measured data on the plurality of regions, and a process of generating a connectivity feature graph showing a relationship between a transfer delay time and another connectivity feature of each region that are included in the plurality of connectivity features.

Abstract: Provided is a technique for comprehensively understanding the relationship between brain regions. A brain connectivity analysis system herein includes a memory configured to have stored therein a connectivity analysis program for analyzing the connectivity; and a processor configured to read the connectivity analysis program from the memory and analyze the connectivity. The processor is configured to execute a process of acquiring from a storage unit measured data on a plurality of selected regions of a brain, a process of determining at least two of the plurality of regions as seed regions and calculating a plurality of connectivity features for the seed regions and other regions from the measured data on the plurality of regions, and a process of generating a connectivity feature graph showing a relationship between a transfer delay time and another connectivity feature of each region that are included in the plurality of connectivity features.

Abstract: Provided herein is a technique for effectively and quantitatively evaluating the symptom improving effect of a treatment given to a subject (patient). The invention provides a technique for diagnosing, evaluating, monitoring, and predicting drug efficacy in individuals (patients) with possible mental disorders such as ADHD, autism, and depression. Specifically, patient's data are simultaneously analyzed using several variables, such as biological measurements (e.g., brain activity measurements) and cognitive performance assessments, involving, for example, a patient (dependent variable), a medication type and dose (independent variables), a diagnosis profile score (DSM) and a rating scale (manifest variables), and an efficacy index (a predictor variable of a future treatment).