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.

Self-directed health screening systems and methods utilizing user navigation and device integration, health analyzing algorithms, and/or self-learning techniques for the detection, quantifying, prevention, and management of health risks and discoverable health conditions. Implementations herein may include components or involve aspects associated with information collection, information processing, display/provision/rendering of professional advice, and/or processing of various associated data and information via network(s). Implementations herein provide for innovatively configured, easily upgradable, efficient, portable, scalable, easy-to-use, usage-encouraging, and/or effective implementations for screening, predicting points of inflection of pending health issues, preventing and/or managing users' health, provided via various and multiple embodiments having numerous advantages over other known techniques. Screenings, health information, and user-selectable choices may be optimized for each unit by offering different combinations over a period of time and iterating to produce the greatest usage and user traffic thereby best serving the specific health needs of the user base and sponsoring advertisers.

A method and system for estimating fractional fat content of an object of interest. The method and system include a thermoacoustic imaging system comprising an adjustable radio frequency (RF) applicator configured to emit RF energy pulses into the region of interest and heat tissue therein and an acoustic receiver configured to receive bipolar acoustic signals generated in response to heating of tissue in the region of interest; and one or more processors. The one or more processors are able to process bipolar acoustic signals received by the acoustic receiver in response to RF energy pulses emitted into the region of interest using the RF applicator to determine a setting for the RF applicator that yields bipolar acoustic signals with at least one enhanced metric thereof, determine an impedance of the RF applicator used to yield acoustic bipolar signals with the enhanced at least one metric, and estimate fractional fat content of the object of interest using the determined impedance.

The disclosure relates to techniques for automatically characterizing liver tissue of a patient, comprising receiving morphological magnetic resonance image data set and at least one magnetic resonance parameter map of an imaging region comprising at least partially the liver of the patient, each acquired by a magnetic resonance imaging device, via a first interface. The techniques further include applying a trained function comprising a neural network to input data comprising at least the image data set and the parameter map. At least one tissue score describing the liver tissue is generated as output data, which is provided using a second interface.

The invention provides for a medical imaging system (100, 300, 500) comprising a processor (104). Machine executable instructions cause the processor to: receive (200) magnetic resonance data (120) comprising discrete data portions (612) that are rotated in k-space; bin (202) the discrete data portions into predetermined motion bins (122) using a motion signal value; reconstruct (204) a reference image (124) for each of the predetermined motion bins; construct (206) a motion transform (126) between the reference images; bin (208) a chosen group (610) of the discrete data portions into a chosen time bin (128). Generate an enhanced image (130) for the chosen time bin using the chosen group of the discrete data portions and the motion transform of each of the chosen group to correct the discrete data portions.

An information processing device includes a displaced position calculation processing unit, a spatial value acquisition processing unit, and a spatial value display processing unit. The displaced position calculation processing unit is configured to determine displaced position data on a position displaced from an optional point on surface shape data on a surface of a measurement target in a given direction by a given distance. The spatial value acquisition processing unit is configured to acquire, based on spatial region values represented by volume data formed in a space containing a shape of the measurement target and the displaced position data, a spatial region value for a position stored in the displaced position data. The spatial value display processing unit is configured to dispose and display a display material corresponding to the spatial region value on the surface shape data.

Techniques and examples pertaining to evaluating a health condition of an aspect of a patient are described. A method for evaluating the health condition of the aspect of the patient may involve obtaining successive measurement readings of a vital sign concurrently from both a left arm and a right arm of the patient for a plurality of times. The method may also involve calculating a characteristic value based on the measurement readings. The method may also involve designating a health indicator based on the characteristic value and a standard value associated with the aspect of the patient, such that the health indicator serves as an indication of the health condition of the aspect of the patient. The aspect of the patient may be a body organ of the patient. The method may further involve diagnosing the patient based on the health indicator.

Isotropic generalized diffusion tensor imaging methods and apparatus are configured to obtain signal attenuations using selected sets of applied magnetic field gradient directions whose averages produce mean apparent diffusion constants (mADCs) over a wide range of b-values, associated with higher order diffusion tensors (HOT). These sets are selected based on analytical descriptions of isotropic HOTs and the associated averaged signal attenuations are combined to produce mADCs, or probability density functions of intravoxel mADC distributions. Estimates of biologically-specific rotation-invariant parameters for quantifying tissue water mobilities or other tissue characteristics can be obtained such as Traces of HOTs associated with diffusion and mean t-kurtosis.

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.

A method (200) and apparatus (1100) for generating quantitative data for biliary tree structures from volumetric medical imaging scan data. The method comprises performing segmentation (230; 300) of a volume of the medical imaging scan data to identify tubular biliary structures within the volume of the medical imaging scan data; for at least one segmented tubular biliary structure within the volume of the medical imaging scan data, computing (240; 800) at least one set of quantitative structural parameters for at least one location along the length of the tubular biliary structure; and outputting (250) quantitative biliary tree data comprising the at least one set of quantitative structural parameters for the at least one segmented tubular biliary structure.