Abstract: A method for evaluation of renal perfusion with power Doppler ultrasonography is disclosed in the present invention. Serial renal vascular images at different vascular areas including the whole vascular tree, interlobar, arcuate, and interlobular vessels were captured. Imaging processing software was designed to analyze the changes of power Doppler intensity of colored pixels within regions of interest (ROI). Power Doppler Vascularity index (PDVI) has been defined as the percentage of vascular perfusion within a region of interest (ROI). The renal vascular perfusion index (RVPI) is defined as the maximal power Doppler vascular index divided by minimal power Doppler vascular index (PDVImax/PDVImin) among the serial images. The mean of weighted power Doppler vascular index (WPDVImean) is defined as the average of the intensity of color pixels among the ROI within the serial images.

Abstract: A multi-dimensional empirical mode decomposition method is provided. The method can be applied in image texture analysis, such as medical image analysis. The method can adaptively decompose a three-dimensional image into a number of characteristic image layers and extract characteristic images showing more noticeable textures from the layers. The method uses the physical concept of field to perform the data mode decomposition to obtain envelope and tendency estimation of multi-dimensional data. The method can also be applied in time and frequency analysis of two-dimensional data or multi-channel data.

Abstract: A method and apparatus for keyboard instrument learning are disclosed. The learning device comprises: a data access/storage device, for storing musical compositions and fingerings; an image signal output device for outputting image signals; a processing unit; and an imaging unit, capable of capturing an image of fingers fitted with marking units in respective and an image of surface where the fingers are placed. When the fingers fitted with the marking units are placed on an actual keyboard, the processing unit is enabled to compare the i,age captured by the imaging unit with a musical composition program so as to generate a control signal accordingly while using the control signal to issue an output signal.

Abstract: An interactive rehabilitation method for movement of upper and lower extremities is disclosed. An identification label of an extracted image is detected to provide an operating position of an image of an extremity. A movement mode for a target image is determined according to the identification label and the target image is displayed in a scene. It is determined whether identification labels corresponding to movement of an extremity of the target image are being continuously obtained, and, if so, the performance of the movement of the extremity is led based on operational guidance. A feedback operation is provided according to the movement of the extremity, preset movement paths and velocities, and targeted positions of the target image. It is determined whether the target image has been moved to the preset targeted positions, and, if so, the performance of the movement of the extremity is graded.

Abstract: A method and apparatus for keyboard instrument learning are disclosed. The learning device comprises: a data access/storage device, for storing musical compositions and fingerings; and a image signal output device, capable of accessing any of those musical compositions and fingerings stored in the data access/storage device and thus outputting image signal accordingly; wherein, the data access/storage device is further comprised of: a processing unit; and an imaging unit, electrically connected to the processing unit, capable of capturing an image of fingers as the fingers are fitted with marking units in respective and an image of a surface where the fingers are placed as well.

Abstract: Disclosed is a method for detecting the degree of malignancy in tumors noninvasively, which comprises the steps of: using a Power Doppler ultrasound unit to scan a tumor and capture sequential color imagines in a complete heartbeat cycle, and choosing an area of interest (AREA_ROI) from the images; labeling pixels reflecting signals of bloodflow in the imagines during one heartbeat cycle to contour an area of tumor blood vessels (AREA_vessel); calculating a difference of PDVI between maximal systolic pressure and diastolic pressure during the heartbeat cycle to obtain tumor differential vascularity index (TDVI), in which PDVI is the ratio obtained by dividing pixels of AREA_vessel by a total area in the section of AREA_ROI; and determining the degree of malignancy by the TDVI. The method of the present invention can be applied to monitor the response of tumor to clinical treatment.

Abstract: Disclosed is a system and method for real-time microcirculation diagnosis. The system comprises a capillary photographic device, an image capturing device, and a data processing unit. By way of the system, informations about movement behavior of a single red blood cell and the situation of a single capillary are obtained. The method of the present invention comprises the steps of analyzing gray scale of capillary imagine pictures, and producing analytical data and diagram for monitoring movement behavior of a single red blood cell and the situation of a single capillary. The present invention improves the disadvantages of the conventional systems or methods, which only provide an average velocity of red blood cells in a microcirculation system. The system of the present invention does not need a hardware or device for Doppler analysis, and thus decreasing a hardware cost. The present invention can also provide more data and more valuable physiological informations.