Disclosed is an image registration and an augmented reality system and an augmented reality method thereof which is suitable for solving the problem of spatial localization of the temporomandibular joint (TMJ) in arthroscopic surgery. The system comprises a three-dimensional scanning model building device, a stereoscopic image photographing device, a projection device and an arithmetic unit. The three-dimensional scanning model was constructed by preoperative or intraoperative imaging of the patient, and the surface three-dimensional model constructed by the stereoscopic image photographing device was spatially aligned to remove the surface (skin layer) of the three-dimensional image to display the TMJ image. Through the calibration of the stereoscopic image photographing device and the projection device, accurate, three-dimensional TMJ image location information is projected onto the patient's body to achieve the purpose.

Embodiments disclose systems and methods that aid in screening, diagnosis and/or monitoring of medical conditions. The systems and methods may allow, for example, for automated identification and localization of lesions and other anatomical structures from medical data obtained from medical imaging devices, computation of image-based biomarkers including quantification of dynamics of lesions, and/or integration with telemedicine services, programs, or software.

A method for processing angiography image data by using an imaging catheter path that is directly detected from the angiography data as a co-registration path or using detected marker locations from the angiography data to generate a co-registration path. If the acquired angiography data includes synchronized cardiac phase signals and a predetermined quantity of angiography image frames not including contrast media, then a directly detected imaging catheter path is used as the co-registration path. Otherwise the co-registration path is determined based upon detected marker locations from the angiography image data.

Monitoring melt pool temperature in laser powder bed fusion by providing a build laser that produces a laser beam that is directed onto the melt pool and produces an incandescence that emanates from the melt pool, receiving the incandescence and producing a first image having a first spectral band and a second image having a second spectral band, and determining the ratio of said first image having a first spectral band and said second image having a second spectral band to monitor the melt pool temperature.

A method and apparatus for monitoring a human or animal subject in a room using video imaging of the subject and analysis of the video image to detect and quantify movement of the subject and to derive an estimate of vital signs such as heart rate or breathing rate. The method includes techniques for de-correlating global intensity variations such as sunlight changes, compensating for noise, eliminating areas not of interest in the image, and quickly and automatically finding regions of interest for detecting subject movement and estimating vital signs. A logic machine is used for interpreting detected movement of the subject, and an artificial neural network is used to calculate a confidence measure for the vital signs estimates from signal quality indices. The confidence measure may be used with a normal density filter to output estimates of the vital signs.

Methods, systems, workstations, and computer program products that provide automated implant analysis of batches of image data sets of a plurality of different patients having an implant coupled to bone using a first data set of a first patient from the batch of image data sets, the first data set comprising a first image stack and a second image stack and allowing a user to select parameter settings for implant movement analysis of the implant including selecting a first object of interest and a second reference object. Measurements of movement of the implant and/or coupled bone can be automatically calculated and selected parameter settings can be automatically propogated to other image data sets of other patients of the batch of image data sets and measurements for the batch of image data sets of others of the different patients can be automatically calculated.

Methods, systems, workstations, and computer program products that provide automated implant analysis using first and second sets of patient image stacks of a patient having at least one metallic implant coupled to bone. Relevant image stack pairs are selected from the first and second patient image stacks, the image stack pairs having at least one common target object or part of a target object for analysis therein. Bone and the at least one metallic implant are segmented in the first and second image stacks to define segmented objects and/or segmented parts of objects. Selected relevant image stack pairs from the first and second patient image stacks can be registered using the selected segmented objects and/or the segmented parts of objects. Measurements of movement of the implant and/or coupled bone after the registration can be calculated using the selected segmented objects and/or the segmented parts of objects.

A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry sets a first region of interest in a region corresponding to cardiac muscle on a cross-section of a heart included in image data. The processing circuitry further sets a second region of interest that is larger than the first region of interest in a region including the region. The processing circuitry determines a threshold for determining a range of signal values used for blood flow dynamic analysis on the image data based on a frequency distribution of signal values in the first region of interest. The processing circuitry carries out blood flow dynamic analysis on the second region of interest using signal values included in a range based on the threshold.

An X-ray diagnostic apparatus according to the embodiment includes an X-ray tube, an X-ray detector, image generating unit generating time-series medical images of vasoganglion in a predetermined organ of a subject, region setting unit setting a first upstream and downstream region of a stenosis location in a first blood vessel in the vasoganglion on the medical images, curve generating unit generating a stenosis upstream and downstream curve indicating a change in pixel value in the time-series based on pixel values included in the first upstream and downstream region respectively, stenosis index generating unit generating a stenosis index indicating the degree of stenosis in the first blood vessel based on the stenosis upstream and downstream curve, and display unit displaying the stenosis index.

To provide a technique for measuring a state of stress by objective symptoms having a correlation with stress in a mobile terminal device. In order to the above object, a program is provided, and a mobile terminal device reads and executes the program to perform: a video-on step for enabling a moving image capturing function of the mobile terminal; a light-on step for enabling a light disposed at an image capturing side of the mobile terminal; a pupil recognition step for recognizing pupils of animal eyes from an image that is being captured, wherein the animal eyes include human eyes; and a pupil change calculation step for calculating a pupil change, wherein the pupil change is a change in a dilation level of the recognized pupil over time.