Patents by Inventor Hamdan Amin

Hamdan Amin 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: 9888897
    Abstract: Methods of imaging a breast comprising acquiring a sequence of image data sets having differing exposure parameters; and combining the image data sets into a mammography image having greater dynamic range than the dynamic range of any single component image data set. Disclosed methods may further comprise determining an exposure parameter of one or more component image data sets prior to acquiring the sequence of image data sets. The step of determining an exposure parameter of one or more component image data sets may comprise determining exposure duration or an exposure irradiation level. Also disclosed are mammography apparatus and systems to obtain images according to the disclosed methods.
    Type: Grant
    Filed: December 1, 2015
    Date of Patent: February 13, 2018
    Assignee: Dexela Limited
    Inventors: Edward Bullard, Spencer Gunn, James Brodrick, Hamdan Amin
  • Publication number: 20160081647
    Abstract: Methods of imaging a breast comprising acquiring a sequence of image data sets having differing exposure parameters; and combining the image data sets into a mammography image having greater dynamic range than the dynamic range of any single component image data set. Disclosed methods may further comprise determining an exposure parameter of one or more component image data sets prior to acquiring the sequence of image data sets. The step of determining an exposure parameter of one or more component image data sets may comprise determining exposure duration or an exposure irradiation level. Also disclosed are mammography apparatus and systems to obtain images according to the disclosed methods.
    Type: Application
    Filed: December 1, 2015
    Publication date: March 24, 2016
    Inventors: Edward Bullard, Spencer Gunn, James Brodrick, Hamdan Amin
  • Patent number: 9230311
    Abstract: Methods of imaging a breast comprising acquiring a sequence of image data sets having differing exposure parameters; and combining the image data sets into a mammography image having greater dynamic range than the dynamic range of any single component image data set. Disclosed methods may further comprise determining an exposure parameter of one or more component image data sets prior to acquiring the sequence of image data sets. The step of determining an exposure parameter of one or more component image data sets may comprise determining exposure duration or an exposure irradiation level. Also disclosed are mammography apparatus and systems to obtain images according to the disclosed methods.
    Type: Grant
    Filed: February 1, 2012
    Date of Patent: January 5, 2016
    Assignee: Dexela Limited
    Inventors: Edward Bullard, Spencer Gunn, James Brodrick, Hamdan Amin
  • Publication number: 20130272495
    Abstract: Methods of imaging a breast comprising acquiring a sequence of image data sets having differing exposure parameters; and combining the image data sets into a mammography image having greater dynamic range than the dynamic range of any single component image data set. Disclosed methods may further comprise determining an exposure parameter of one or more component image data sets prior to acquiring the sequence of image data sets. The step of determining an exposure parameter of one or more component image data sets may comprise determining exposure duration or an exposure irradiation level. Also disclosed are mammography apparatus and systems to obtain images according to the disclosed methods.
    Type: Application
    Filed: February 1, 2012
    Publication date: October 17, 2013
    Applicant: Dexela Limited
    Inventors: Edward Bullard, Spencer Gunn, James Brodrick, Hamdan Amin
  • Publication number: 20110206257
    Abstract: This invention concerns an efficient algorithm for automatic and accurate segmentation of Abdominal Aortic Aneurysm (AAA). The algorithm first identifies the location of the lumen (the inner portion of aorta) and then segments it. The abdominal portion of the lumen is then found using anatomical and geometrical features. This portion of the lumen is straightened using geometrical transformation based on the smoothed centreline. The transformed lumen is then passed through a number of filters, based on geometrical, intensity, gradient and texture features, to search for the existence of the aneurysm. If aneurysm is detected, a deformable model is first initialized to the approximate borders of the aneurysm which are then refined using global and location information.
    Type: Application
    Filed: April 16, 2009
    Publication date: August 25, 2011
    Applicant: UNIVERSITE DE LAUSANNE
    Inventors: Salah Qanadli, Jamshid Dehmeshki, Hamdan Amin