Abstract: A rotation type optical tomography scanner is provided, including an illuminating unit disposed on a surface of an object-to-be-detected for emitting incident light to tissues under the surface of the object-to-be-detected; a detecting unit disposed on the object-to-be-detected and rotating around the illuminating unit to receive diffuse light diffused from the tissues under the surface of the object-to-be-detected and generate tissue sensing information; and a positioning unit for generating position information of the rotation type optical tomography scanner. The rotation type optical tomography scanner transmits the sensing information and the position information to a remodel module to rebuild the tissue images under the surface of the object-to-be-detected, thereby expanding the scanning range of the object-to-be-detected.

Abstract: A control and sensing system for diffusion optical tomography and a method for operating the same are disclosed. The control and sensing system includes a control unit and a sensing circuit with a plurality of light sources and sensors, each light source being surrounded by a corresponding predetermined number of the sensors. The control unit instructs the light sources to individually emit light to an object, so the object generates a plurality of optical signals, and instructs the predetermined number of the sensors corresponding to each light source to receive the optical signals and transmit them to the control unit, thereby reducing the complexity of the control and sensing system.

Abstract: A rotation type optical tomography scanner is provided, including an illuminating unit disposed on a surface of an object-to-be-detected for emitting incident light to tissues under the surface of the object-to-be-detected; a detecting unit disposed on the object-to-be-detected and rotating around the illuminating unit to receive diffuse light diffused from the tissues under the surface of the object-to-be-detected and generate tissue sensing information; and a positioning unit for generating position information of the rotation type optical tomography scanner. The rotation type optical tomography scanner transmits the sensing information and the position information to a remodel module to rebuild the tissue images under the surface of the object-to-be-detected, thereby expanding the scanning range of the object-to-be-detected.

Abstract: A portable 2-dimension oximeter image device is disclosed. The portable 2-dimension oximeter image device includes a plurality of light sources for emitting light to an object to be measured such that a plurality of sensors can sense the intensity of reflected light from the measured object; an analysis processor for receiving the light intensity sensed by the front-end detectors to analyze and calculate based on an oxygen saturation distribution algorithm to generate oxygen saturation distribution information; an image reconstruction unit for reconstructing an image according to the oxygen saturation distribution information to generate image information with a color scale to demonstrate the differences in the object's oxygen saturation in each regional tissue of the object, thereby providing an effective and accurate regional detection range.

Abstract: A device and method for diffusion optical tomography are disclosed. The device includes a sensing circuit with a plurality of light sources and sensors and an optical tomography element having a control unit, a computation unit and an image reconstruction unit. First, the computation unit constructs an image model of an object using optical parameters of the object, and performs decomposition on the image model. Then, the control unit instructs the light sources to emit light to the object, and receives a plurality of optical signals generated by the object in response to the light. Finally, the image reconstruction unit combines the optical signals and the decomposed image model and reconstructs an image of the object based on the combination of the optical signals and the decomposed image model.

Abstract: A control and sensing system for diffusion optical tomography and a method for operating the same are disclosed. The control and sensing system includes a control unit and a sensing circuit with a plurality of light sources and sensors, each light source being surrounded by a corresponding predetermined number of the sensors. The control unit instructs the light sources to individually emit light to an object, so the object generates a plurality of optical signals, and instructs the predetermined number of the sensors corresponding to each light source to receive the optical signals and transmit them to the control unit, thereby reducing the complexity of the control and sensing system.

Abstract: An image processing unit for optical tomography is applicable in miniaturized diffusion optical tomography devices. It includes an image reconstructor and an image post-processor. The image reconstructor receives a plurality of optical signals generated from an reaction of an object under test with irradiating light and an inverse solution matrix of an image model of the object, and obtains scalar product on each of the optical signals and the inverse solution matrix through a sub-frame algorithm to generate an original image corresponding to the object. Then, the image post-processor performs a Gaussian extended algorithm on the original image to output a final image. With the image reconstruction and image post-processing of the present invention, slowing down of computation speed due to miniaturization of the conventional optical tomography techniques can be avoided, while providing good quality in the output image.

Abstract: A device and method for diffusion optical tomography are disclosed. The device includes a sensing circuit with a plurality of light sources and sensors and an optical tomography element having a control unit, a computation unit and an image reconstruction unit. First, the computation unit constructs an image model of an object using optical parameters of the object, and performs decomposition on the image model. Then, the control unit instructs the light sources to emit light to the object, and receives a plurality of optical signals generated by the object in response to the light. Finally, the image reconstruction unit combines the optical signals and the decomposed image model and reconstructs an image of the object based on the combination of the optical signals and the decomposed image model.