A system is disclosed herein for providing a kinetic assessment and preparation of a prosthetic joint comprising one or more prosthetic components. The system comprises a prosthetic component including sensors and circuitry configured to measure load, position of load on a curved surface, joint stability, range of motion, and impingement. In one embodiment, the system is for a ball and socket joint of a musculoskeletal system. The system further includes a computer having a display configured to graphical display quantitative measurement data to support rapid assimilation of the information. The kinetic assessment measures joint alignment under loading that will be similar to that of a final joint installation. The kinetic assessment can use trial or permanent prosthetic components. Furthermore, adjustments can be made to the applied load magnitude, position of load, and joint alignment by various means to fine-tune an installation.

An object of the present disclosure is to provide an optical measurement method, an optical measurement apparatus, and a non-transitory computer readable medium capable of specifying the position of a pore. The optical measurement method includes first, second, and third steps. In the first step (ST11), first 3D tomographic image data is acquired from a skin by using optical coherence tomography. In the second step (ST12), a line shown in a second planar image (B2) at a second depth is removed from a first planar image (B1) at a first depth, the second depth being deeper than the first depth. In the third step (ST13), a position of a pore is specified from the first planar image (B1) from which the line has been removed.

In a method and magnetic resonance (MR) apparatus for pulse wave velocity (PWV) measurement along the aorta of a subject using MR imaging, a multislice cardio synchronized segmented ciné MR data acquisition sequence is optimized in order to enhance inflow representation in the slice images, in order to make the multislice MR data acquisition sequence viable for clinical uses, so as to acquire intensity-based MR data from two transverse slices spaced from each other along the descending aorta. The respective intensities of relevant pixels in at least two respective slice images are analyzed in order to identify the arrival of a pulse wave in the respective slices by the onset of flow enhancement in the slices, represented by intensity changes in the pixels. From the onset of flow enhancement in the respective slice images, PWV is calculated. An electronic signal representing the calculated PWV is then provided from a computer.

An endoscope system includes: a processor that generates first and second feature amount distribution images of a living tissue from an imaged image of the living tissue and generates a second feature amount distribution processed image from these distribution images; and a display that displays the second feature amount distribution processed image. The processor generates a mask image of the second feature amount distribution image by, in the first feature amount distribution image, setting a pixel whose pixel value representing the first feature amount is less than a lower limit value as a non-transmissive pixel having a transmittance of zero and setting a pixel between an upper limit value and the lower limit value as a transmissive pixel while giving the pixel a transmittance determined continuously or stepwise in accordance with the pixel value in the first feature amount distribution image.

A method of determining a cosmetic skin attribute of a person is provided. The method includes obtaining a color channel image of a person's skin, analyzing the color channel image with a computer using entropy statistics to obtain an entropy value, and then determining a cosmetic skin attribute for the person based on the entropy value.

A system includes an electrical tomography system and a volume estimation system. The volume estimation system is configured to reconstruct an initial impedance image based at least partially on received electrical tomography data of a domain, receive prior information associated with the domain, enhance the initial impedance image based at least partially on the received prior information to generate an enhanced impedance image, and based at least partially on the enhanced initial impedance image, generate a volumetric image of a region of interest of the enhanced impedance image, wherein the volumetric image represents a plurality of values indicating a volume of a fluid.

Some embodiments of the present disclosure provide a pneumothorax detection method performed by a computing device. The method may comprise obtaining predicted pneumothorax information, predicted tube information, and a predicted spinal baseline with respect to an input image from a trained pneumothorax prediction model; determining at least one pneumothorax representative position for the predicted pneumothorax information and at least one tube representative position for the predicted tube information, in a prediction image in which the predicted pneumothorax information and the predicted tube information are displayed; dividing the prediction image into a first region and a second region by the predicted spinal baseline; and determining a region in which the at least one pneumothorax representative position and the at least one tube representative position exist among the first region and the second region.

A processor divides a fundus region of an ultra-wide field fundus image into plural areas including at least a first area and a second area, generates first attribute information indicating an attribute of the first area and second attribute information indicating an attribute of the second area, and generates first mode instruction information to instruct display of the first area in a first mode corresponding to the first attribute information, and generates second mode instruction information to instruct display of the second area in a second mode corresponding to the second attribute information.

Various techniques are disclosed to provide for improved human body temperature detection using thermal images of an inner canthus. In one example, a method includes capturing a thermal image of a human being using a thermal imager. The method also includes determining an uncompensated temperature measurement associated with an inner canthus of a face of the human being using corresponding pixels of the thermal image. The method also includes determining a correction term as a function of a distance between the thermal imager and the human being. The method also includes applying the correction term to the uncompensated temperature measurement to provide a corrected temperature measurement associated with the inner canthus to compensate for attenuation associated with the distance. Additional methods and systems are also provided.

A method includes receiving a video signal that comprises a time series of images of a face of a human, wherein the images in the time series of images comprise a set of landmark points in the face, applying tracking processing to the video signal to reveal variations over time of at least one image parameter at the set of landmark points in the human face, generating a set of variation signals indicative of variations revealed at respective landmark points in the set of landmark points, applying processing to the set of variation signals, the processing comprising artificial neural network processing to produce a reconstructed PhotoPletysmoGraphy (PPG) signal, and estimating a heart rate variability of a variable heart rate of the human as a function of the reconstructed PPG signal.