Methods for estimating and predicting tooth wear based upon a single 3D digital model of teeth. The 3D digital model is segmented to identify individual teeth within the model. A digital model of a tooth is selected from the segmented model, and its original shape is predicted. The digital model is compared with the predicted original shape to estimate wear areas. A mapping function based upon values relating to tooth wear can also be applied to the selected digital model to predict wear of the tooth.

A method of processing optical coherence tomography (OCT) scans through a subject's skin, the method comprising: receiving at least a plurality of OCT scans through the subject's skin (7), each scan representing an OCT signal in a slice through the subject's skin (7), with the plurality of OCT scans being spaced apart such that the OCT scans represent the OCT signal through a volume through the subject's skin; processing each OCT scan using a processor so as to so as to detect at least one three dimensional structure in the skin; classifying, using a processor, the structure as belonging to a class of a plurality of classes of structures; and outputting at least one of the structure and the class.

Systems and methods for detecting, counting and analyzing the blood content of a surgical textile are provided, utilizing an infrared or depth camera in conjunction with a color image.

An active remote sensing system is provided with an array of laser diodes that generate light directed to an object having one or more optical wavelengths that include at least one near-infrared wavelength between 600 nanometers and 1000 nanometers. One of the laser diodes pulses at a modulation frequency between 10 Megahertz and 1 Gigahertz and has a phase associated with the modulation frequency. A detection system includes a photo-detector, a lens, a spectral filter at an input to the photo-detector, and a processor that processes digitized signals received from the photo-detector to generate an output signal. The detection system uses a lock-in technique that synchronizes pulsing the one laser diode. The active remote sensing system is configured to be mounted on a vehicle or an airborne platform to provide distance information based on a time-of-flight measurement.

An embodiment in accordance with the present invention provides a technique for localizing structures of interest in projection images (e.g., x-ray projection radiographs or fluoroscopy) based on structures defined in a preoperative 3D image (e.g., MR or CT). Applications include, but are not limited to, spinal interventions. The present invention achieves 3D-2D image registration (and particularly allowing use with a preoperative MR image) by segmenting the structures of interest in the preoperative 3D image and generating a simulated projection of the segmented structures to be aligned with the 2D projection image. Other applications include various clinical scenarios involving 3D-2D image registration, such as image-guided cranial neurosurgery, orthopedic surgery, biopsy, and radiation therapy.

A processor identifies a curved structure in three-dimensional medical image data. The processor selects a plane in the three-dimensional medical image data based at least in part on the identified curved structure. The processor defines a curved image slice in the selected plane based at least in part on the identified curved structure. The curved image slice may be defined by drawing a pair of curved lines on opposite sides of the identified curved structure in the selected plane. The distance between the pair of curved lines may define a thickness of the curved image slice. The processor generates a rendered image of the defined curved image slice. The rendered image may be generally perpendicular to the selected plane. The rendered image and/or the selected plane having the pair of curved lines superimposed on opposite sides of the identified curved structure may be presented at a display system.

Disclosed are an image processing apparatus, an image processing method and a recording medium thereof, the image processing apparatus including: a storage configured to store standard information about at least one anatomical entity; and at least one processor configured to detect regions corresponding to a plurality of anatomical entities based on a medical image obtained by scanning an object including the plurality of anatomical entities, to estimate a volume of a first anatomical entity at a predetermined point in time based on object information measured from the detected regions of the anatomical entity and the standard information stored in the storage, and to provide information about condition of the first anatomical entity based on the estimated volume. Thus, it is possible to make a diagnosis more simply and accurately by determining condition information of an anatomical entity at a point in time for the diagnosis based on a randomly taken medical image.

Systems and methods are disclosed herein for determining a diagnosis based on a base skin tone of a patient. In an embodiment, the system receives a base skin tone image of a patient, generates a calibrated base skin tone image by calibrating the base skin tone image using a reference calibration profile, and determines a base skin tone of the patient based on the calibrated base skin tone image. The system receives a concern image of a portion of the patient's skin, and selects a set of machine learning diagnostic models from a plurality of sets of candidate machine learning diagnostic models based on the base skin tone of the patient, each of the sets of candidate machine learning diagnostic models trained to receive the concern image and output a diagnosis of a condition of the patient.

A system and method for providing personalized cosmetic information objectively and scientifically present personalized cosmetics suitable for an individual's skin type by a comparative analysis between genetic skin test result data, from which an individual's skin condition can be scientifically detected, and data obtained by a phenomenological self-skin examination and a skin condition measurement instrument.

This application relates to a method of measuring a volume of an organ. In one aspect, the method includes acquiring a plurality of captured images of the organ and photographing metadata and preprocessing the plurality of images to acquire a plurality of image patches of a specified size. The method may also include inputting the plurality of image patches into a three-dimensional (3D) convolutional neural network (CNN)-based neural network model and estimating an organ region corresponding to each of the plurality of image patches. The method may further include measuring a volume of the organ by using an area of the estimated organ region and the photographing metadata. The method may further include measuring an uncertainty value of the 3D CNN-based neural network model and uncertainty values of the plurality of images based on a result of estimating by the 3D CNN-based neural network model.