Boston Scientific Scimed, Inc.

Gang Hu

George Wilfred Duval

Louis J Barbato

Kirsten Viering

A method is provided for enhancing video images in a medical device. The method includes receiving a first image frame and a second image frame from an image sensor. First image sub-blocks are generated by dividing the first image frame. Second image sub-blocks are generated by dividing the second image frame based on the first image sub-blocks. Histogram data of the first image sub-blocks is generated. Histogram data of the second image sub-blocks is generated based on the histogram data of the first image sub-blocks. A histogram enhanced image frame is generated based on the histogram data of the second image sub-blocks. A video image stream is generated based on the histogram enhanced image frame.

Image processing systems and methods of using the same

Embodiments herein relate to systems and methods for rapidly calibrating optical medical sensors. In an embodiment, a method can include placing a reflective optical medical sensor device on or in a patient. The reflective optical medical sensor device can include one or more optical emitters; one or more optical detectors; and a measurement circuit having one or more transimpedance amplifiers (TIA). The method can include setting the TIA to a fixed gain value and then turning on the optical emitter associated with each spatially unique measurement vector and receiving reflected light with the associated optical detector for each spatially unique measurement vector at the same fixed gain value. The method can include assessing the signal-to-noise (SNR) for each spatially unique measurement vector and selecting the spatially unique measurement vector having the highest SNR. Other embodiments are also included herein.

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Acton, MA, United States of America

Gang Hu