A method to visualize, display, analyze and quantify angiography, perfusion, and the change in angiography and perfusion in real time, is provided. This method captures image data sequences from indocyanine green near infra-red fluorescence imaging used in a variety of surgical procedure applications, where angiography and perfusion are critical for intraoperative decisions.

It will be appreciated by persons skilled in the art that the present invention is not limited to what has been particularly shown and described hereinabove. Rather, the scope of the present invention includes both combinations and subcombinations of the various features described hereinabove, as well as variations and modifications thereof that are not in the prior art, which would occur to persons skilled in the art upon reading the foregoing description.

A system for monitoring the movement of objects, structures, models of structures, cables and the like provides for the acquisition of images with an optical sensing device such as a video camera fixedly mounted at a selected distance from the item studied, in which the images are arranged into frames divided into pixels which are characterized by an intensity reflected or emitted over a selected time interval, and a data processing system to calculate a physical displacement as function of time of the item being studied or a portion of the item being studied based on an output from the video camera, and in some embodiments the system visually distinguishes one or more locations in the frame to indicate a difference in the phase of motion for multiple objects appearing in the frame.

A medical data processing method, performed by a computer (2), for determining error analysis data describing the registration accuracy of a first elastic registration between first and second image data (A, B) describing images of an anatomical structure of a patient, comprising the steps of: —acquiring the first image data (A) describing a first image of the anatomical structure, —acquiring the second image data (B) describing a second image of the anatomical structure, —determining first registration data describing a first elastic registration of the first image data (A) to the second image data (B) by mapping the first image data (A) to the second image data (B) using a registration algorithm, —determining second registration data describing a second elastic registration of the second image data (B) to the first image data (A) by mapping the second image data (B) to the first image data (A) using the registration algorithm, —determining error analysis data describing the registration accuracy of the first elastic registration based on the first registration data and the second registration data.

A system for detecting stimulated emission from a material of interest comprising: an excitation source; and an imaging component; wherein, in use, the system is configured to: a) emit excitation radiation from the excitation source for a first time period, the excitation radiation having a wavelength suitable for inducing stimulated emission in the material of interest; b) capture a first image via the imaging component, the first image substantially consisting of a background illumination component and a stimulated emission component; c) stop emitting excitation radiation for a second time period; d) capture a second image via the imaging component, the second image substantially consisting of the background illumination component; e) create a difference image corresponding to the difference between the first and second images, such that the difference image includes any stimulated emission signals from the material of interest.

Systems and methods for use in identifying a brain condition of a subject are provided. In some aspects, a provided method includes constructing a classifier to identify a brain condition of a subject comprising steps of receiving image data obtained from a plurality of subjects, wherein the image data is acquired during an acquisition period following administration of at least one radioactive tracer. The method also includes defining a plurality of brain condition classes using the image data associated with one or more time frames during the acquisition period, and processing the image data to generate signatures corresponding to each of the plurality brain condition classes. The method further includes constructing the classifier using the signatures. The classifier can then be applied to determine a degree to which the subject expresses one or more disease states in order to determine a brain condition of the subject.

Vessel roadmapping systems and methods that generate a display of live fluoroscopic imaging of an intravascular device within vessels of a patient and a pre-generated vessel roadmap. The systems and methods pan the vessel roadmap in coordination with movement of a field of view of an image acquisition machine obtaining the live fluoroscopic imaging so that registration of the live fluoroscopic imaging and the vessel roadmap is preserved in the displayed overlay.

The present invention discloses a noninvasive smart glucometer, comprising a near-infrared picture acquisition device and a processor, wherein the near-infrared picture acquisition device is used for acquiring human body's near-infrared pictures, and the processor is used for processing, comparing and calibrating the near-infrared pictures and then outputting the measurement result of a user's blood glucose. While using this glucometer, a blood glucose value can be acquired by putting the near-infrared pictures of human body's specific parts into the processor. This glucometer is easy to use, and may be shared by multiple people, without any consumables or pollutions, which is a real “noninvasive” glucometer.

The present invention relates to the field of medical imaging in the absence of contrast agents. In one form, the invention relates to the field of imaging vessels, particularly blood vessels such as the pulmonary vasculature and is suitable for use as a technique for detecting pulmonary embolism (PE), such as acute PE. Embodiments of the present invention provide improved image processing techniques having the capability to extract and use image data to overcome the need for contrast agents to distinguish between different types of tissue. Furthermore, it has also been realised that the image data accessed by the improved image processing can be used to identify irregularities in vessels.

In an image guidance method, a stream of cone-beam computed tomography (CBCT) images of an anatomical organ is acquired using a CBCT imaging device (34). For each CBCT image (44), the surface of the organ in the CBCT image is segmented to generate a segmented surface (70) of the anatomical organ in the CBCT image. Occluded shape reconstruction (66) using a statistical shape prior (68) may be used to reconstruct a missing or occluded surface portion. A pre-operative medical image (12) of the anatomical organ and the CBCT image are spatially registered by warping one of the images to the other of the images using point set registration of a segmented surface (30) of the organ in the preoperative medical image and the segmented surface of the organ in the CBCT image. A fused image (82) is displayed that combines the warped image and the other image.