Molecular Dynamics Limited

Medic Vision-imaging Solutions Ltd.

Medic Vision-brain Technologies Ltd.

Tal Kenig

Zvi Devir

Guy Rosman

Eliran Dahan

Ezer Bar-Aviv

Uri Goldberg

Eli Stern

Method and apparatus for scanning a region of interest (ROI) by a gamma detector. An exemplary method includes determining, for each of multiple detector configurations, a respective weight based on an absorption profile, associating each of a plurality of portions of the ROI with a respective gamma attenuation value; and detecting gamma radiation from multiple detector configurations for time periods allocated among the detector configurations based on the weights determined.

Weighting detector configurations in SPECT imaging

Described are methods and systems for scanning at least a portion of a patient with a gamma detector mounted on an arm extending towards the patient. One described method includes: obtaining data indicative or coordinates of points on the outer surface of the patient; determining a target position for the gamma detector based on the data indicative, of the coordinates; and causing the gamma detector to detect gamma radiation from the patient when the gamma detector is at the target position.

Methods and systems for utilizing 3D sensors in nuclear medicine

A method of producing a denoised medical image at a specified resolution, comprising: a) denoising an original medical image acquired at a resolution higher than the specified resolution; and b) reducing the resolution of the image, after denoising, to the specified resolution, using a nonlinear resolution reduction procedure that preserves more fine detail in the image than a linear resolution reduction procedure would.

Denoising medical images

A method of reducing noise in an image, comprising: a) for each pixel being examined in the image, selecting a set of search pixels; b) calculating a value of one or more features of a neighborhood of each search pixel, and a value of corresponding features of a neighborhood of the pixel being examined; and c) calculating a reduced noise grey value for each pixel being examined, based on raw or transformed grey values of its search pixels, with greater sensitivity to those with one or more feature values similar to those of the pixel being examined; wherein calculating the value of at least one feature comprises calculating a characteristic of a distribution of raw or transformed grey values of pixels in the neighborhood, other than a mean grey value of all pixels in the neighborhood.

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Avihayil, Israel

Tal Kenig