A measuring apparatus configured to measure the biological information includes a light emitter configured to emit measuring light, a light receiver including a plurality of light receiving areas that receive scattering light of the measuring light from a measured part, and a controller configured to generate the biological information based on output from the plurality of light receiving areas.

A measuring apparatus configured to measure the biological information includes a light emitter configured to emit measuring light, a light receiver including a plurality of light receiving areas that receive scattering light of the measuring light from a measured part, and a controller configured to generate the biological information based on output from the plurality of light receiving areas.

A handheld-type probe is used, the probe including: a grip portion; a plurality of detection elements configured to receive an acoustic wave and output an electrical signal; a detection surface where the plurality of detection elements are disposed; and a light-absorber supporting member where a light absorber is disposed, the light absorber absorbing light emitted from a light source and generating an acoustic wave.

Provided herein are methods and devices for identifying and/or distinguishing UCA formulations and specifically activating such formulations to produce UCA suitable for in vivo use.

This photoacoustic wave detector is provided with: an internal light source (212) that comprises an LED element (212a) to be inserted into the interior of a subject (P) and that irradiates an object to be detected (Q) within the subject with light emitted from the LED element; and an internal acoustoelectric conversion unit (22) that detects a photoacoustic wave generated at the object to be detected in the interior of the subject (150) and generates an internal detection signal that is based on the detection result of the photoacoustic wave (AW).

Methods and systems for producing an electrophysiological map of a heart of a patient are disclosed. An example method may include determining a target location and an orientation of a catheter tip, confirming that the tip is located at the target location, measuring the heart parameter value at each of the target locations, and superimposing a plurality of representations of the heart parameter value. Confirmation that the tip of the catheter is located at a target location can be accomplished by comparing the current location of the tip with the target location, a corresponding heart parameter value being measured at each of the target locations by a heart parameter sensor, and the representations of the heart parameter value being superimposed on an image of the heart at the target location to produce the electrophysiological map.

Methods and systems for producing an electrophysiological map of a heart of a patient are disclosed. An example method may include determining a target location and an orientation of a catheter tip, confirming that the tip is located at the target location, measuring the heart parameter value at each of the target locations, and superimposing a plurality of representations of the heart parameter value. Confirmation that the tip of the catheter is located at a target location can be accomplished by comparing the current location of the tip with the target location, a corresponding heart parameter value being measured at each of the target locations by a heart parameter sensor, and the representations of the heart parameter value being superimposed on an image of the heart at the target location to produce the electrophysiological map.

A system and method for estimating image intensity bias and segmentation tissues is presented. The system and method includes obtaining a first image data set and at least a second image data set, wherein the first and second image data sets are representative of an anatomical region in a subject of interest. Furthermore, the system and method includes generating a baseline bias map by processing the first image data set. The system and method also includes determining a baseline body mask by processing the second image data set. In addition, the system and method includes estimating a bias map corresponding to a sub-region in the anatomical region based on the baseline body mask. Moreover, the system and method includes segmenting one or more tissues in the anatomical region based on the bias map.

A system and method for estimating image intensity bias and segmentation tissues is presented. The system and method includes obtaining a first image data set and at least a second image data set, wherein the first and second image data sets are representative of an anatomical region in a subject of interest. Furthermore, the system and method includes generating a baseline bias map by processing the first image data set. The system and method also includes determining a baseline body mask by processing the second image data set. In addition, the system and method includes estimating a bias map corresponding to a sub-region in the anatomical region based on the baseline body mask. Moreover, the system and method includes segmenting one or more tissues in the anatomical region based on the bias map.

A three-dimensional region of interest (ROI) is established with a high degree of accuracy, by a simple method without increasing a burden on the operator, in generating a three-dimensional projected image from medical volume data according to rendering, achieving more efficient interpretation of three-dimensional image and streamlining of diagnostic flow, with the use of the diagnostic image generation apparatus. An energy map is generated on a predetermined tomographic plane, assuming a preset start point as a reference and searching for a path that minimizes the energy, and then the path is set as a boundary of the three-dimensional ROI. The start point may be decided on the basis of the boundary inputted by a user, or the user may set the start point. The user may be allowed to adjust the boundary having been set. The boundary may also be determined on another plane orthogonal to the predetermined tomographic plane.