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.

Abdomen scanning techniques are disclosed. The techniques include acquiring a current abdomen positioning image; inputting the current abdomen positioning image into a pre-trained liver outline acquisition model, and obtaining current liver outline information outputted by the liver outline acquisition model; the liver outline acquisition model being obtained by training, using a first quantity of historical abdomen positioning images as an input set, and using a first quantity of historical liver outline information respectively corresponding to the first quantity of historical abdomen positioning images as an output set; based on the current liver outline information, calculating an abdomen scanning range and a scanning center position, and applying the scanning range and scanning center position in a current scanning protocol; and using the scanning protocol to perform a magnetic resonance scan of an abdomen.

A computer-implemented system (CIS), based on the DenseNet model, for processing and/or analyzing computer tomography (CT) medical imaging input data is described. The CIS contains two or more dense blocks containing one or more modules. Within each dense block, output from preceding modules containing convolutional layers are transmitted to succeeding modules containing convolutional layers, via a gate that is controlled by a predefined or trainable threshold. The CIS also includes transition layers between the dense blocks, operably linked to pairs of consecutive dense blocks in the series configuration. The CIS can be used in a computer-implemented method for enhanced diagnoses of hepatocellular carcinoma, based analysis of one or more CT medical images.

Systems and methods are provided for determine the fat composition in an organ of interest using a non-invasive health measurement system. The non-invasive health measurement system may include an open magnet NMR apparatus. The NMR apparatus may measure NMR signals in a sensitive volume of a patient. The sensitive volume may coincide with an organ of interest, such as a liver. Systems and methods disclosed herein may provide for separation of the water contribution and the fat contribution to the measured NMR signal. Diffusion based separation, T.sub.2 based separation, and T.sub.1 based separation may each serve as different methods for separating the water and fat contributions to the signal. Separating the water and fat contributions to the single may allow for computation of a proton density fat fraction which may reflect the fat composition of the organ of interest.

A method for diagnosing a subject with one or more of hepatocellular carcinoma (HCC), chronic liver disease, colorectal liver metastases (CRLM), and pulmonary hypertension is described. The method includes obtaining a breath sample from a subject, analyzing the breath sample obtained from the subject to determine one or more breath metabolite abundance values, inputting one or more of the breath metabolite abundance values into a machine-learning-model, and assigning a clinical parameter to the subject representing the likelihood that the subject has one or more of HCC, chronic liver disease, CRLM, and pulmonary hypertension.

A method and system for enhancing radio frequency energy delivery to a tissue region of interest. The method and system direct with a radio frequency (RF) applicator, one or more RF energy pulses into the tissue region of interest, the tissue region of interest comprising an object of interest and at least one reference that are separated by at least one boundary; detect with an acoustic receiver, at least one bipolar acoustic signal generated in the tissue region of interest in response to the RF energy pulses and processing the at least one bipolar acoustic signal to determine a peak-to-peak amplitude thereof; adjust the RF applicator to maximize the peak-to-peak amplitude of bipolar acoustic signals generated in the tissue region of interest in response to RF energy pulses generated by the adjusted RF applicator; and direct with the adjusted RF applicator, one or more RF energy pulses into the region of interest.

Methods for assessing steatosis and fibrosis in a patient's liver include (i) measuring a diffusion-weighted relaxometry signal of the liver, or portion thereof; and determining a fibrosis content of the liver or portion thereof based on the measured diffusion-weighted relaxometry signal, or (ii) measuring a relaxometry signal of the liver, or portion thereof; and determining a fat content of the liver or portion thereof based on the measured relaxometry signal. A system for such non-invasive sensing includes a static magnetic field source; RF transmitter coils connected to a pulse sequence generator; RF receiver coils configured to detect a magnetic field generated within liver tissues; and a signal acquisition and processor system configured to acquire signals from the RF receiver coils and perform a relaxation time (T2) relaxometry measurement, wherein the RF transmitter coils and pulse sequence generator are configured to apply a varying magnetic field to the liver tissues.

The present invention relates to systems for use for radio frequency ablation. The systems can include one or more of an ablation tool, power source for use with the ablation tool and a backstop for use in conjunction with the ablation tool during surgical procedures. Preferred ablation tools comprise a series of three or more blade-shaped electrodes disposed in a linear, curved, curvilinear or circular array. The backstops are useful for reducing direct physical and thermal heat transfer injuries to the patient or surgeon during procedures using radiofrequency (RF) ablation devices.

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.

The present invention relates to devices and methods for measuring vascular deficiency using Doppler ultrasound detection. Embodiments can be used to monitor the condition of surgical tissue flaps or other conditions in which obstruction in the vascular system can impact patient health. The systems can include a Doppler ultrasound probe, a color probe, a temperature probe, and/or other suitable probes to measure blood volume and perfusion status of a tissue region. The systems and methods can be used to monitor flaps after flap transplant surgeries. The systems and methods can automatedly assess tissue condition and alert the patient or medical staff if the condition has fallen below a threshold indicating occlusion of a blood vessel. One or more additional sensors can be integrated into a probe to measure vascular conditions and a metric can be computed based on sensed data.