Medical imaging analysis systems are configured to perform automatic image registration algorithms that perform three-dimensional (3D), affine, and/or intensity-based co-registration of magnetic resonance imaging (MRI) data, such as multiparametric MRI (mpMRT) data, using mutual information (MI) as a similarity metric. An apparatus comprises a computer-readable storage medium storing a plurality of imaging series of magnetic resonance imaging (MRI) data for imaged tissue of a patient; and a processor coupled to the computer-readable storage medium. The processor is configured to receive the imaging series of MRI data; identify a volume of interest (VOI) of each image of the imaging series of MRI data; compute registration parameters for the VOIs through the maximization of mutual information of the corrected VOIs; and register the VOIs using the computed registration parameters.

The disclosure relates to the acceleration of MRI examinations, particularly during the detection and differential diagnosis of focal liver lesions by way of dynamic contrast-enhanced magnetic resonance imaging (MRI). The disclosure also relates to a method, a system and a computer program product for generating MRI images, particularly of the liver.

The present disclosure directs to a method for image processing. The method may include obtaining scanning data of a spine of a subject, determining one or more centrum parameters of each of a plurality of centrums of the spine based on the scanning data, and identifying at least one intervertebral disc based on the one or more centrum parameters.

Each of the at least one intervertebral disc may be between a pair of neighboring centrums of the plurality of centrums. The method may include determining an intervertebral disc reconstruction protocol of each of the at least one intervertebral disc, determining a target intervertebral disc of the at least one intervertebral disc, and reconstructing one or more images of the target intervertebral disc based on an intervertebral disc reconstruction protocol of the target intervertebral disc. The intervertebral disc reconstruction protocols may relate to MPR.

The present invention relates to an automatic cervical cancer diagnosis system for performing machine learning by classifying cervical data required for automatic diagnosis of cervical cancer according to accurate criteria and automatically diagnosing cervical cancer based on the machine learning, the automatic cervical cancer diagnosis system including: a learning data generator configured to classify unclassified photographed image data for a cervix transmitted from an external device or a storage according a combination of multi-level classification criteria to generate learning data for each new classification criterion in a learning mode; a photographed image pre-processer configured to pre-process photographed cervix images; a cervical cancer diagnoser including a machine learning model for cervical cancer that learns a characteristic of the learning data generated for each classification criterion in the learning mode, wherein the machine learning model generates diagnosis information about whether cervical cancer has occurred with respect to the pre-processed photographed cervix image; a screen display controller configured to display and output a user interface screen configured to display the diagnosis information and inputting evaluation information according to a reading specialist; a retraining data generator configured to extract information required for retraining from the evaluation information input through the user interface screen and request retraining the machine learning model; and a diagnosis and evaluation information storage configured to store the diagnosis information about whether cervical cancer has occurred and the evaluation information input through the user interface screen.

An arrangement is provided for monitoring the plantar temperature of the foot having a platform with at least two multi-layer temperature sensitive pads that measure the temperature of a sole of a user's feet. The platform has a scanner for scanning the bottom of the user's feet that produces a digital image thereof. A printed circuit board supports remote connectivity to a mobile application that transmits the scanned digital image of the users' feet to the mobile application for storage and delivery to a physician. The arrangement includes the mobile application that provides a series of diagnostic questions and prompts to the user and is configured to transmit data including the scanned images of the user's feet to a physician.

Various methods and systems are provided for a medical imaging system. In one embodiment, a method includes acquiring a series of medical images of a lung, identifying a pleural line in each medical image of the series, evaluating the pleural line for irregularities in each medical image of the series, and outputting an annotated version of each medical image of the series, the annotated version including visual markers for healthy pleura and irregular pleura. In this way, an operator of the medical imaging system may be alerted to pleural irregularities during a scan.

The disclosure provides for a systems and methods for monitoring uterine contractions of a uterus of a mammal by reconstructing three-dimensional images of uterine surface electrical activity based on a noninvasively obtained body-uterus geometry and a plurality of body surface electrical potential maps.

Techniques for automatic measurement using structured lights are provided. A computer system uses structured lights to acquire skin information, the skin information being associated with at least one affected area of the skin. The computer system determines parameters related to the at least one affected area of the skin, at least partly, on the skin information and generates an assessment for the at least one affected area of the skin.

A magnetic resonance imaging apparatus according to an embodiment includes: a coil configured to receive a magnetic resonance signal emitted from a subject due to influence of a radio frequency magnetic field; and processing circuitry. The processing circuitry is configured to detect at least one tissue from among a femoral head, the pelvis, an articular labrum, the pubic symphysis, the urethra, and the apex of the prostate of the subject, from a locator image based on the magnetic resonance signal and corresponding to a range including the prostate of the subject. The processing circuitry is configured to determine a region to be imaged of the prostate of the subject, on the basis of the detected tissue.

A method for lung nodule evaluation is provided. The method may include obtaining a target image including at least a portion of a lung of a subject. The method may also include segmenting, from the target image, at least one target region each of which corresponds to a lung nodule of the subject. The method may further include generating an evaluation result with respect to the at least one lung nodule based on the at least one target region.