Patents by Inventor Chiung-Nein Chen

Chiung-Nein Chen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10249037
    Abstract: An echogenicity quantification method and a calibration method for ultrasonic device using echogenicity index are disclosed.
    Type: Grant
    Filed: December 1, 2014
    Date of Patent: April 2, 2019
    Assignee: AMCAD BIOMED CORPORATION
    Inventors: King-Jen Chang, Chiung-Nein Chen, Ming-Hsun Wu, Argon Chen, Yu-Hsin Wang, Kuo-Chen Huang
  • Patent number: 9773307
    Abstract: 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 Nth pixel to gather a Nth local mean, a Nth local variance and a Nth local 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.
    Type: Grant
    Filed: December 2, 2014
    Date of Patent: September 26, 2017
    Assignee: AMCAD BIOMED CORPORATION
    Inventors: King-Jen Chang, Argon Chen, Chiung-Nein Chen, Kuen Yuan Chen, Yu-Hsin Wang, Kuo-Chen Huang
  • Patent number: 9412167
    Abstract: 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 mth window centered at a nth signal point to obtain a plurality of original statistical values anxm, obtaining a plurality of mth statistical values by averaging value of original statistical values in the same window, calculating a plurality of mth weighting 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 nth ultrasonic 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.
    Type: Grant
    Filed: May 5, 2015
    Date of Patent: August 9, 2016
    Assignee: AMCAD BIOMED CORPORATION
    Inventors: Po-Hsiang Tsui, Ming-Chih Ho, Chiung-Nein Chen, Argon Chen, Jia-Jiun Chen, Yu-Hsin Wang, Kuo-Chen Huang
  • Publication number: 20160133020
    Abstract: 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 mth window centered at a nth signal point to obtain a plurality of original statistical values anxm, obtaining a plurality of mth statistical values by averaging value of original statistical values in the same window, calculating a plurality of mth weighting 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 nth ultrasonic 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.
    Type: Application
    Filed: May 5, 2015
    Publication date: May 12, 2016
    Inventors: Po-Hsiang Tsui, Ming-Chih Ho, Chiung-Nein Chen, Argon Chen, Jia-Jiun Chen, Yu-Hsin Wang, Kuo-Chen Huang
  • Publication number: 20150086095
    Abstract: 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 Nth pixel to gather a Nth local mean, a Nth local variance and a Nth local 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.
    Type: Application
    Filed: December 2, 2014
    Publication date: March 26, 2015
    Inventors: King-Jen Chang, Argon Chen, Chiung-Nein Chen, Kuen Yuan Chen, Yu-Hsin Wang, Kuo-Chen Huang
  • Publication number: 20150086094
    Abstract: An echogenicity quantification method and a calibration method for ultrasonic device using echogenicity index are disclosed.
    Type: Application
    Filed: December 1, 2014
    Publication date: March 26, 2015
    Inventors: King-Jen Chang, Chiung-Nein Chen, Ming-Hsun Wu, Argon Chen, Yu-Hsin Wang, Kuo-Chen Huang
  • Patent number: 8948474
    Abstract: 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.
    Type: Grant
    Filed: January 25, 2010
    Date of Patent: February 3, 2015
    Assignee: Amcad BioMed Corporation
    Inventors: King Jen Chang, Wen Hwa Chen, Argon Chen, Chiung Nein Chen, Ming Chih Ho, Hao Chih Tai, Ming Hsun Wu, Po Wei Tsai, Chung Wei Liu, Hsin-Jung Wu
  • Patent number: 8572006
    Abstract: 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.
    Type: Grant
    Filed: January 25, 2010
    Date of Patent: October 29, 2013
    Assignee: AmCad BioMed Corporation
    Inventors: King Jen Chang, Wen Hwa Chen, Argon Chen, Chiung Nein Chen, Ming Chih Ho, Hao Chih Tai, Ming Hsun Wu, Hsin-Jung Wu
  • Patent number: 8374892
    Abstract: 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.
    Type: Grant
    Filed: January 25, 2010
    Date of Patent: February 12, 2013
    Assignee: AmCad BioMed Corporation
    Inventors: King Jen Chang, Wen Hwa Chen, Argon Chen, Chiung Nein Chen, Ming Chih Ho, Hao Chih Tai, Ming Hsun Wu, Po Wei Tsai
  • Patent number: 8047993
    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.
    Type: Grant
    Filed: April 6, 2005
    Date of Patent: November 1, 2011
    Assignee: Industrial Technology Research Institute
    Inventors: Yio-Wha Shau, Fon-Jou Hsieh, King-Jen Chang, Sun-Hua Pao, Chiung-Nein Chen
  • Publication number: 20110182489
    Abstract: 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.
    Type: Application
    Filed: January 25, 2010
    Publication date: July 28, 2011
    Inventors: King Jen Chang, Wen Hwa Chen, Argon Chen, Chiung Nein Chen, Ming Chih Ho, Hao Chih Tai, Ming Hsun Wu, Po Wei Tsai
  • Publication number: 20110182522
    Abstract: 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.
    Type: Application
    Filed: January 25, 2010
    Publication date: July 28, 2011
    Inventors: King Jen Chang, Wen Hwa Chen, Argon Chen, Chiung Nein Chen, Ming Chih Ho, Hao Chih Tai, Ming Hsun Wu, Hsin-Jung Wu
  • Publication number: 20110181614
    Abstract: 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.
    Type: Application
    Filed: January 25, 2010
    Publication date: July 28, 2011
    Inventors: King Jen Chang, Wen Hwa Chen, Argon Chen, Chiung Nein Chen, Ming Chih Ho, Hao Chih Tai, Ming Hsun Wu, Po Wei Tsai, Chung Wei Liu, Hsin-Jung Wu
  • Publication number: 20060241463
    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.
    Type: Application
    Filed: April 6, 2005
    Publication date: October 26, 2006
    Inventors: Yio-Wha Shau, Fon-Jou Hsieh, King-Jen Chang, Sun-Hua Pao, Chiung-Nein Chen