Amcad Biomed Corporation

Argon Chen

Kuo-Chen Huang

Yu-Hsin Wang

King Jen Chang

Ming Hsun Wu

Wen Hwa Chen

Hao Chih Tai

Chiung Nein Chen

Jia-Jiun Chen

Chiung-Nein Chen

Ming Chih Ho

Yi-Li Lee

Edward Chia-Hao Liu

Hsin-Jung Wu

Po Wei Tsai

King-Jen Chang

Chun-Hsiang Yang

Ming-Hsun Wu

Ming-chih Ho

Chiung-Nien Chen

Pei-Yu Chao

Tien-Chun Chang

Hao-Chien Wang

Yi-Hsien Hsiao

Pei-Lin Lee

Chin-Chung Shu

Shu-Ning Yu

Wei-Yu Hsu

Wei-Hao Chen

Chung Wei Liu

Po-Hsiang Tsui

Kuen Yuan Chen

Yu-Han Shen

Hsuan-Mao Wang

Shyang-Rong Shih

I-Shiow Jan

Cheng-Hsien Liu

Yu -Hsin Wang

King -Jen Chang

Chiung -Nein Chen

Kuen-Yuan Chen

Disclosed are computer-implemented or computer-aided method for diagnosing or predicting the risk of obstructive sleep apnea in a subject. The methods comprise determining whether the subject has obstructive sleep apnea based on at least one quantitative ultrasound parameter and/or at least one morphometric parameter.

Methods for predicting the risk of obstructive sleep apnea

The present disclosure provides a positioning method for head and neck assessment comprising positioning a probe to the head and neck structures of a subject according to reference planes defined by light beams.

Method for head and neck assessment or intervention

The invention provides an analysis system for Doppler ultrasound image includes: a capture device, a processing device, and an output device. The capture device obtains a plurality of Doppler ultrasound images. The processing device arranges the color value in each pixel of the images based on the time domain, and obtains a reference sequence through a referencing method, furthermore performs a clustering method to obtain a plurality of correlation coefficient values, then uses a clustering and noise reducing method to classify into a primary pulsatile signal, a secondary pulsatile signal, and a noise signal, finally annotates the primary pulsatile signal, a secondary pulsatile signal, and a noise signal with different color values, respectively. The output device displays a plurality of visualized pulsatile ultrasound images for visualization.

Clustering, noise reduction and visualization method for doppler ultrasound images

A cytological image processing device, a method for quantifying characteristics of cytological image and a non-transitory computer readable medium thereof are provided. The cytological image processing device executes the method including the steps: loading a cytological image with a plurality of pixels; removing a background part from the cytological image according to at least one of a plurality of color attributes of each pixel of the cytological image in a color space to obtain a background-subtracted image; dividing the background-subtracted image into a nuclear part and a cytoplasmic part; detecting a plurality of edge pixels in the background-subtracted image to segment a plurality of nuclear blocks in the background-subtracted image; generating a parameter set according to the nuclear blocks; and generating an output image by visualizing the background-subtracted image.

Cytological image processing device, and method for quantifying characteristics of cytological image

An echogenicity quantification method and a calibration method for ultrasonic device using echogenicity index are disclosed. The method includes: receiving an ultrasound image which comprises a plurality of grayscale pixels; choosing a region of interest (ROI); calculating the values of the grayscale pixels in ROI to obtain average value and standard deviation; excluding pixels in ROI with the grayscale value smaller than the sum of the minimum value in the grayscale image and the product of a first scaling factor and the standard deviation, and larger than the sum of the average value and the product of a second scaling factor and the standard deviation; averaging the values of the remaining grayscale pixels in ROI to obtain an average value of interest; choosing a reference region; averaging the values of the remaining grayscale pixels in the reference region to obtain an average value of reference; and calculating the difference between the average value of interest and the average value of reference to obtain an echogenicity index.

Echogenicity quantification method and calibration method for ultrasonic device using echogenicity index

A method adapted to diagnose airway obstruction in a subject is disclosed. The method comprises the following steps: providing plural cross-sectional ultrasound images of a region of the respiratory tract during the subject's normal breathing, wherein each ultrasound image has plural pixels and each pixel has a color scale value; selecting a region of interest in each ultrasound image; calculating a respective first statistic value. The pixels in each of the region of interest are identified to define a respective airspace region by the color scale values larger than or equal to the respective first statistic value. A respective width of the respiratory tract is calculated and based on the distribution of the pixels in the respective airspace region. The status about an airway obstruction in the subject is classified according to the second statistic value obtained by the calculation of the widths of the respiratory tract.

Method adapted to diagnose airway obstruction and system thereof

The invention provides an analysis method of ultrasound echo signals based on statistics of scatterer distributions. The beginning of steps, choosing an ultrasound echo signal as a center, and calculating the signal image values of all ultrasound echo signals within a window block in an ultrasound image data to obtain an ultrasound scatterer value. Then, choosing another ultrasound echo signal as the center to repeat the previous steps until all of ultrasound echo signals may be calculated. The interval between each of ultrasound echo signal is one point distance. Finally, to output an ultrasound scatterer mode image with all ultrasound scatterer values by utilizing color scale. The ultrasound scatterer mode image can assist doctor to confirm the relative region of lesion in a target organ.

Analysis methods of ultrasound echo signals based on statistics of scatterer distributions

The present invention provides quantification and imaging methods and a system of the echo-texture feature, comprising: obtaining an ultrasonic image; calculating all the pixel values in a selected ROI of the ultrasonic image to obtain a regional standard deviation; excluding pixels with a pixel value smaller than a multiple of the regional standard deviation in the selected ROI; counting a set of pixels centered around a Npixel to gather a Nlocal mean, a Nlocal variance and a Nlocal coefficient of variance corresponding the set of pixel values, wherein N is from 1 to the number of the pixels remaining in the selected ROI; and obtaining an echo-texture index according to the local means, the local variances, or the local coefficient of variances. The imaging of echo texture which shows the echo texture distribution of the selected ROI with a color scale changing continuously from red to blue is also included. A parameter is provided to adjust the visualization enhancement of the echo texture.

Quantification and imaging methods and system of the echo texture feature

The present invention provides an acceleration and enhancement methods for ultrasound scatterer structure visualization. The method includes: obtaining an ultrasonic image, calculating all values of the ultrasonic signal points in each mwindow centered at a nsignal point to obtain a plurality of original statistical values ax, obtaining a plurality of mstatistical values by averaging value of original statistical values in the same window, calculating a plurality of mweighting values based on the statistical values by different weighting formulas, multiplying each weighting value with the original statistical values corresponding to the various size of windows, summing up to obtain an ultrasound structure scatterer value of the nultrasonic signal point, and generating an ultrasound scatterer structure image based on a matrix of the ultrasound scatterer values. The present invention further combined interpolation method can reduce the computation time and retain the 80% accuracy.

Acceleration and enhancement methods and system for ultrasound scatterer structure visualization

A quantification method and an imaging method are disclosed, capable of quantifying the margin feature, the cysts feature, the calcifications feature, the echoic feature and the heterogenesis feature of a tumor, and capable of imaging the margin feature, the cysts feature, the calcifications feature and the heterogenesis feature of a tumor. The quantification method and the imaging method calculate the moving variance of the gray scale of each of the pixel points based on the gradient value of the gray scale of these pixel points. Then, depending on the purpose of the quantification method or the imaging method, the maximum value, the minimum value, the mean value, and the standard deviation of the moving variance of the gray scale of these pixel points are calculated, respectively. At final, with the definition of the threshold value and the imaging rule, the above features of the tumor are quantified or imaged.

Quantification method of the feature of a tumor and an imaging method of the same

The present invention relates to a method for multi-layer classifier applying on a computer readable medium for classifying multiple image samples. The method at least comprising the following steps: (a) receiving a plurality of samples; (b) providing a plurality of attributes, and evaluating a significance of the attributes by a selection criterion; (c) selecting at least one cut-point to establish a discriminant analysis model; (d) proceeding a step of evaluating a performance of the discriminant analysis model by adding the attributes to the discriminant analysis model; and (e) providing a stop criterion. The present invention also provides a computer readable medium for classifying multiple image samples by using the method for multi-layer classifier.

Method for multi-layer classifier

The present invention related to a method for retrieving a tumor contour of an image processing system that includes a memory storing a grayscale image and a processor, comprising: receiving an input tumor contour of the grayscale image; defining a tumor contour annular region and a plurality of reference segments of the grayscale image, wherein the input tumor contour is in the tumor contour annular region, and each of the plurality of reference segments is across the tumor contour annular region and includes a plurality of measured points; retrieving a tumor contour suggestion point on each of the plurality of reference segments; and linking all the tumor contour suggestion points on all of the reference segments, for forming the tumor contour. Accordingly, by applying the method of the present invention, a doctor can rapidly and accurately identify the contour of a tumor in a grayscale image.

Method for retrieving a tumor contour of an image processing system

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Taipei, Taiwan

Argon Chen