Patents by Inventor Albert Amos Montillo

Albert Amos Montillo 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).

  • Systems and methods for image segmentation using target image intensity
    Patent number: 9349186
    Abstract: The system and method of the invention combines target image intensity into a maximum likelihood estimate (MLE) framework as in STAPLE to take advantage of both intensity-based segmentation and statistical label fusion based on atlas consensus and performance level, abbreviated iSTAPLE. The MLE framework is then solved using a modified expectation-maximization algorithm to simultaneously estimate the intensity profiles of structures of interest as well as the true segmentation and atlas performance level. The iSTAPLE greatly extends the use of atlases such that the target image need not have the same image contrast and intensity range as the atlas images.
    Type: Grant
    Filed: February 11, 2014
    Date of Patent: May 24, 2016
    Assignee: General Electric Company
    Inventors: Xiaofeng Liu, John Frederick Schenck, Ek Tsoon Tan, Albert Amos Montillo
  • METHOD FOR ORGAN LOCALIZATION
    Publication number: 20150086101
    Abstract: In some embodiments, a method for localizing organs in anatomical imaging may include: performing an anterior-posterior view scan and a lateral view scan to create an anterior-posterior view scan image and a lateral view scan image; creating a joint anatomical model based on the anterior-posterior scan image and the lateral view scan image; and refining the joint anatomical model.
    Type: Application
    Filed: September 25, 2014
    Publication date: March 26, 2015
    Inventors: Roshni Bhagalia, Qi Song, Albert Amos Montillo
  • SYSTEMS AND METHODS FOR IMAGE SEGMENTATION USING TARGET IMAGE INTENSITY
    Publication number: 20140226889
    Abstract: The system and method of the invention combines target image intensity into a maximum likelihood estimate (MLE) framework as in STAPLE to take advantage of both intensity-based segmentation and statistical label fusion based on atlas consensus and performance level, abbreviated iSTAPLE. The MLE framework is then solved using a modified expectation-maximization algorithm to simultaneously estimate the intensity profiles of structures of interest as well as the true segmentation and atlas performance level. The iSTAPLE greatly extends the use of atlases such that the target image need not have the same image contrast and intensity range as the atlas images.
    Type: Application
    Filed: February 11, 2014
    Publication date: August 14, 2014
    Applicant: GENERAL ELECTRIC COMPANY
    Inventors: Xiaofeng Liu, John Frederick Schenck, Ek Tsoon Tan, Albert Amos Montillo