Acer Inc.

National Taiwan University

Hung-Sheng Hsu

Chien-Hung Li

Yi-Jin Huang

Wei-Hao Chang

Jehn-Yu Huang

Ming-Chi Kuo

An image processing apparatus for evaluating cardiac images and a ventricular status identification method are provided. In the method, a region of interest (ROI) is determined from multiple target images, a variation in grayscale values of multiple pixels in the ROIs of each target image is determined, and one or more representative images are obtained according to the variation in the grayscale values. The target image is related to the pixels within an endocardial contour of a left ventricle. A boundary of the ROI is approximately located at two sides of a bottom of the endocardial contour. The ROI corresponds to a mitral valve. The variation in the grayscale values is related to a motion of the mitral valve. The representative image is for evaluating a status of the left ventricle.

Image processing apparatus for evaluating cardiac images and ventricular status identification method

The disclosure provides an eye state assessment method and an electronic device. The method includes: obtaining an optic disc image area from a first fundus photography and generating multiple optic cup-to-disc ratio assessment results by multiple first models based on the optic disc image area; obtaining a first assessment result of an eye based on the optic cup-to-disc ratio assessment results; performing multiple data augmentation operations on the first fundus photography to generate multiple second fundus photographies; generating multiple retinal nerve fiber layer (RNFL) defect assessment results by multiple second models based on the second fundus photographies; obtaining a second assessment result of the eye based on the RNFL defect assessment results; and obtaining an optic nerve assessment result of the eye based on the first assessment result and the second assessment result.

Eye state assessment method and electronic device

A method for estimating a ventricular volume is provided and includes: obtaining a left ventricular mask image corresponding to a heart ultrasound image, where the left ventricular mask image is a binary image; finding 3 reference point pixels in the left ventricular mask image, where each of the reference point pixels has a first value, each of the reference point pixels is surrounded by N surrounding pixels, and the surrounding pixels of each of the reference point pixels include N1 first surrounding pixels with the first value and N2 second surrounding pixels with a second value; estimating a left ventricular volume corresponding to the heart ultrasound image based on the reference point pixels.

Method for estimating ventricular volume

A method for evaluating a movement state of a heart is provided and includes: obtaining a plurality of consecutive heart ultrasound images corresponding to a heart and accordingly estimating a plurality of left ventricular volumes corresponding to the heart ultrasound images; finding a plurality of specific extremums in the left ventricular volumes and accordingly estimating a plurality of time differences among the specific extremums; estimating a statistical characteristic value of the time differences based on the time differences; and determining that an abnormal movement state of the heart occurs in response to determining that at least one of the time differences deviates from the statistical characteristic value up to a predetermined threshold.

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Taipei, Taiwan

Hung-Sheng Hsu