Abstract: A computer implemented method is usable to detect the presence of abnormal tissue through analysis of magnetic resonance relaxation times T1 and T2. The relaxation times T1 and T2 are determined from a data set obtained from a magnetic resonance apparatus. The method includes: loading the data set from at least one tissue into a computing device; determining a region of interest; determining an average value of the free induction decay signal within the region of interest on each of the scans separately; detecting scans with outlier data in each data series; and, if a scan with outlier data is detected, identifying the scan in the data series; determining the relaxation time within the region of interest based on scans from the corresponding data series that are not identified as having outlier data; classifying the tissue as normal or abnormal based on predefined values, which are determined depending on the type of tissue analyzed.

Abstract: An information processing system, a computer-readable storage medium, and a method are provided in which computer-readable instructions can be executed by processor. The method can include gathering data conditionally from a plurality of structured data sources in accordance with rules of a template. The gathered data may relate to a plurality of medical tests of a patient performed in accordance with one or more orders of tests. One or more of the rules of the template can conditionally select first data relating to a result of at least one of the medical tests based on one or more criteria.