Abstract: A method for obtaining an index for non-invasively identifying NASH is provided. A NASH determination method comprising a method for acquiring free radical consumption speed information by non-invasively detecting a redox reaction in a liver of a test animal in real time, comprises a step (1) of obtaining free radical concentration data by applying a magnetic resonance method to the liver as a measurement target after administering a probe into a body; a step (2) of obtaining imaging information by processing the obtained free radical concentration data; and a step (3) of obtaining a free radical consumption speed by kinetically measuring the imaging information over time, and comprises a step of determining whether or not the test animal has NASH, based on the free radical consumption speed information obtained through application to the test animal.

Abstract: A method for obtaining an index for non-invasively identifying NASH is provided. A NASH determination method comprising a method for acquiring free radical consumption speed information by non-invasively detecting a redox reaction in a liver of a test animal in real time, comprises a step (1) of obtaining free radical concentration data by applying a magnetic resonance method to the liver as a measurement target after administering a probe into a body; a step (2) of obtaining imaging information by processing the obtained free radical concentration data; and a step (3) of obtaining a free radical consumption speed by kinetically measuring the imaging information over time, and comprises a step of determining whether or not the test animal has NASH, based on the free radical consumption speed information obtained through application to the test animal.

Abstract: A puncture assistance system provides information on a collapse state of a blood vessel to be punctured, caused by pressing action of an ultrasonic probe, when ultrasonic images of the blood vessel are acquired. A puncture assistance system 10 includes: vascular diameter detecting means 18 for detecting a vascular diameter during acquisition of the ultrasonic images from an ultrasonic diagnostic device 11; puncture assistance information generating means 12 for generating puncture assistance information for determination of whether or not puncture is allowed to be performed based on a collapse state of a blood vessel B caused by pressing action of an ultrasonic probe 15 against skin S by comparing a current vascular diameter detected by the vascular diameter detecting means 18 with a standard vascular diameter stored in advance; and a monitor 19 that presents the puncture assistance information.

Abstract: A puncture assistance system provides information on a collapse state of a blood vessel to be punctured, caused by pressing action of an ultrasonic probe, when ultrasonic images of the blood vessel are acquired. A puncture assistance system 10 includes: vascular diameter detecting means 18 for detecting a vascular diameter during acquisition of the ultrasonic images from an ultrasonic diagnostic device 11; puncture assistance information generating means 12 for generating puncture assistance information for determination of whether or not puncture is allowed to be performed based on a collapse state of a blood vessel B caused by pressing action of an ultrasonic probe 15 against skin S by comparing a current vascular diameter detected by the vascular diameter detecting means 18 with a standard vascular diameter stored in advance; and a monitor 19 that presents the puncture assistance information.

Abstract: A diagnostic system comprises: a spectral imaging means that captures a spectral image within a predetermined wavelength range in a body cavity and obtains spectral image data; an image processing means that receives the spectral image data, determines an index value indicating a region that is highly likely to be a lesion from the spectral image data, and generates and outputs an extracted lesion image based on the index value; and a monitor on which the extracted lesion image is displayed. The image processing means performs multiple regression analysis for each pixel of the spectral image with the spectral image data as a dependent variable and respective light absorption properties of oxyhemoglobin and deoxyhemoglobin as independent variables, and determines the index value based on respective concentrations of the oxyhemoglobin and the deoxyhemoglobin.