A mobile healthcare device and method of operating the same are provided. The method includes setting a mode of the mobile healthcare device to a measurement mode, displaying a screen for guiding a user to maintain a predetermined position during the measurement mode, and, in response to a predetermined amount of time passing from a time at which the screen begins to be displayed, obtaining state information of the user based on bio information of the user, the bio information being received from a sensor.

An oximeter probe that takes into account tissue color (e.g., skin color or melanin content) to improve accuracy when determining oxygen saturation of tissue. Light is transmitted from a light source into tissue having melanin (e.g., eumelanin or pheomelanin). Light reflected from the tissue is received by a detector. A compensation factor is determined to account for absorption due to the melanin. The oximeter uses this compensation factor and determines a melanin-corrected oxygen saturation value.

A catheter-based imaging apparatus comprises a catheter having a proximal end and a distal end. An optical emitter is configured to emit optical excitation signals from a distal portion of the catheter. One or more ultrasound transducers are configured for: (a) transmission of acoustic excitation signals from the distal portion of the catheter; and (b) detection of ultrasound response signals from an object of interest at or near to the distal portion of the catheter at frequencies which include a lower receive frequency at least as low as 10 MHz and a higher receive frequency at least as high as 35 MHz. The one or more ultrasound transducers are thereby configured to detect response signals comprising photoacoustic response signals from the object of interest at the lower receive frequency and high resolution imaging signals from the object of interest at the higher receive frequency.

Provided is an apparatus for estimating a target component, the apparatus including a temperature controller configured to modulate temperature of an object, a measurer configured to measure a spectrum for each temperature of the object that changes based on the modulation, and a processor configured to obtain effective optical pathlength vectors corresponding to a temperature change based on the spectrum for each temperature of the object, obtain a representative effective optical pathlength based on the obtained effective optical pathlength vectors, and obtain a target component estimation model based on the obtained representative effective optical pathlength.

The present invention provides a removable optical imaging device cap for use with a near infrared (NIR) light optical imaging device for detecting intracranial hematoma.

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 of providing a quantitative volumetric assessment of organ health or a quantitative map of an organ. The method comprises obtaining a volumetric map of organ health comprising information defining a state of tissue health across at least part of an organ, receiving an input defining at least one organ section, determining an assessment organ volume based at least partly on the at least one defined organ section, calculating an organ-viability measure for the assessment organ volume based at least partly on information within the volumetric map defining the state of tissue health across the organ volume, and outputting an indication of the organ-viability measure.

A structured-light imaging system includes a structured light projector for illuminating a surface and an electronic camera configured to image the surface. An image processor receives the images and has structured light scatteroscopy (SLS) firmware with machine readable instructions that illuminate the surface with structured light having a spatial frequency of at least 0.5 mm1, and process the images to determine a map of scattering parameters at the surface independent of absorption properties. In an embodiment, the system also has cameras configured to obtain a stereo pair of images of the surface, the image processor having 3D firmware for extracting a three dimensional model of the surface from the stereo pair of images and compensating the map for non-flat surfaces.

The present invention provides a removable optical imaging device cap for use with a near infrared (NIR) light optical imaging device for detecting intracranial hematoma.

The described implementations relate to systems, methods, and apparatuses for generating regions of interest (214) from imaging data (212). Specifically, the regions of interest are generated for tracking treatment efficacy in a more consistent and repeatable manner. The regions of interest can be generated from contrast medium and non-contrast medium enhanced scans (102) of a patient. Voxel data derived from the scans can be collected and distributed according to respective intensity values in order to identify mode voxels (116, 118, 120) for particular ranges (128) of intensities. Regions of interest (110, 112, 114) can then be generated for each identified mode voxel, and standard deviations for the regions of interest can be determined. One or more thresholds can be derived from the determined standard deviations in order to further filter the intensity values and identify filtered groups of voxels to be the resulting regions of interest.