Embodiments of the present disclosure relate to techniques for inducing physiological perturbations in a subject via neuromodulation, e.g., peripheral neuromodulation of a region of interest of an organ. The nature and degree of the perturbations may be related to the subject's clinical condition. Accordingly, an assessment of one or more characteristics of the perturbations may be used to determine a clinical condition of the subject.

This application relates to a method of measuring a volume of an organ. In one aspect, the method includes acquiring a plurality of captured images of the organ and photographing metadata and preprocessing the plurality of images to acquire a plurality of image patches of a specified size. The method may also include inputting the plurality of image patches into a three-dimensional (3D) convolutional neural network (CNN)-based neural network model and estimating an organ region corresponding to each of the plurality of image patches. The method may further include measuring a volume of the organ by using an area of the estimated organ region and the photographing metadata. The method may further include measuring an uncertainty value of the 3D CNN-based neural network model and uncertainty values of the plurality of images based on a result of estimating by the 3D CNN-based neural network model.

Systems and methods are provided for computer aided phenotyping of fibrosis-related conditions. A digital image indicates presence of collagens in a biological tissue sample. The image is processed to quantify parameters, each parameter describing a feature of the collagens that is expected to be different for different phenotypes of fibrosis. At least some features are tissue level features that describe macroscopic characteristics of the collagens, morphometric level features that describe morphometric characteristics of the collagens, and texture level features that describe an organization of the collagens. At least some of the plurality of parameters are statistics associated with histograms corresponding to distributions of the associated parameters across at least some of the digital image. At least some of the plurality of parameters are combined to obtain one or more composite scores that quantify a phenotype of fibrosis for the biological tissue sample.

Fluorescent probe compounds comprising fluorescent cholic acid derivative are used for visualizing the influence of a candidate compound on biliary excretion in in vitro or in vivo biological models, including certain probes developed report on the activity of the bile salt export pump (BSEP). Visualization is done on hepatocyte cultures with formed bile canaliculi or on liver systems that are exposed to the fluorescent probes and the candidate compound. Visualization is done by fluorescence microscopy. The probes are particularly suitable for early screening of multiple candidate compounds.

The present invention relates to a method for displaying an easy-to-understand medical image, comprising the steps of: a. obtaining a medical image, b. identifying at least one feature on the image of step (a), c. generating at least one mask highlighting the at least one feature, d. displaying at least one easy-to-understand medical image including at least one mask on which the at least one feature identified in step (b) is highlighted.

A method of detecting an accessory cancer lesion, comprising an administration step wherein indocyanine green is administered to a living body, an irradiation step wherein a target organ suspected of having cancer is surgically exposed and irradiated with excitation light of indocyanine green, an imaging step wherein a near-infrared fluorescence intensity distribution image from the excited indocyanine green in the target organ is obtained, and an identification step wherein an area having the near-infrared fluorescence in the intensity distribution image, excluding the area detected in preoperative examination or intraoperative macroscopic observation, is identified as an accessory cancer lesion.

Disclosed herein are an apparatus for automatic ultrasound diagnosis of liver steatosis using feature points in an ultrasound image, which can automatically determine a grade of liver steatosis, which is difficult to determine visually, through extraction from an image acquired by medical imaging, and a remote medical diagnosis method using the same.

A probe unit (100) including a magnet (102, 103) generates a static magnetic B.sub.0 field in an examination region and a RF coil (105). An input-output module (201) includes a transmitter (203) which controls the RF coil (105) to excite resonance and cause echoes (210) and a receiver (204) which demodulates and digitizes the echoes (210). A data processing module (206) includes at least one processor programmed to calculate a T.sub.2 relaxation distribution plot from a digitized echo (210) train, calculate a first area under the fat peak on the T.sub.2 distribution plot, calculate a second area under a water peak on the T.sub.2 distribution plot, and normalize the first and second area to determine a fat-to-water ratio.

To measure the content percentage of fat in a liver without increasing hardware size, provided is a measurement apparatus that supplies an ultrasonic signal to a body part and receives a response signal that has passed through an inner portion of the body part, the measurement apparatus including an ultrasonic signal generating section that generates the ultrasonic signal according to a control signal; a loop control section that supplies the control signal to the ultrasonic signal generating section in response to receiving the response signal that has passed through the body part; and a frequency measuring section that measures a repeating frequency of the control signal repeatedly supplied by the loop control section.

The invention relates to an energy application planning apparatus for planning an application of energy to an object (3) like a tumor. An energy application element representation represents an energy application element (5) like an ablation needle including an energy application part for applying energy and a sensing part (7). An arrangement of the energy application element (5) with respect to the object (3) is determined depending on the positions of the energy application part and the sensing part (7) with respect to the energy application element (5) as defined by the energy application element representation and depending on the object representation. The application of energy can therefore not only be planned such that the application of energy is performed as desired, but also such that the object and/or a surrounding of the object are sensible as desired. In this way, the planning procedure can be improved.