Patents by Inventor Mitali Janardan More

Mitali Janardan More 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).

  • Brain image alignment method and system
    Patent number: 8041088
    Abstract: A technique for automatically labeling a CT image of the brain with anatomical information. The anatomical information is obtained from an atlas of the brain prepared from an MR image of the brain. The atlas contains image data that is referenced to the Talairach coordinate system. The atlas is aligned to the CT image and the coordinate system of the CT image data is transformed to the Talairach coordinate system. The alignment of the CT image and the atlas is performed using anatomical landmarks that are visible on both the CT image and the atlas. The CT image is then labeled automatically with the anatomical information in the atlas.
    Type: Grant
    Filed: February 5, 2007
    Date of Patent: October 18, 2011
    Assignee: General Electric Company
    Inventors: Yogisha Mallya, Srikanth Suryanarayanan, Krishna Seetharam Shriram, Rakesh Mullick, Mitali Janardan More
  • Method and system for image segmentation using models
    Patent number: 8014578
    Abstract: A technique is provided for utilizing a model of an anatomical feature to facilitate the segmentation of the anatomical feature from its background in a medical image. A global alignment of the model with a region in the patient's image data that generally corresponds to the anatomical feature is performed in one embodiment. Internal structural features within the model are then aligned with their corresponding structural features in the patient's image data. The portion of the patient's image data that is aligned with the model of the anatomical feature is then segmented from the remaining portions of the patient's image data that are not aligned with the model.
    Type: Grant
    Filed: February 5, 2007
    Date of Patent: September 6, 2011
    Assignee: General Electric Company
    Inventors: Srikanth Suryanarayanan, Rakesh Mullick, Mitali Janardan More, Krishna Seetharam Shriram
  • Brain image alignment method and system
    Publication number: 20080188741
    Abstract: A technique for automatically labeling a CT image of the brain with anatomical information. The anatomical information is obtained from an atlas of the brain prepared from an MR image of the brain. The atlas contains image data that is referenced to the Talairach coordinate system. The atlas is aligned to the CT image and the coordinate system of the CT image data is transformed to the Talairach coordinate system. The alignment of the CT image and the atlas is performed using anatomical landmarks that are visible on both the CT image and the atlas. The CT image is then labeled automatically with the anatomical information in the atlas.
    Type: Application
    Filed: February 5, 2007
    Publication date: August 7, 2008
    Inventors: Yogisha Mallya, Srikanth Suryanarayanan, Krishna Seetharam Shriram, Rakesh Mullick, Mitali Janardan More
  • Method and system for image segmentation using models
    Publication number: 20080188734
    Abstract: A technique is provided for utilizing a model of an anatomical feature to facilitate the segmentation of the anatomical feature from its background in a medical image. A global alignment of the model with a region in the patient's image data that generally corresponds to the anatomical feature is performed in one embodiment. Internal structural features within the model are then aligned with their corresponding structural features in the patient's image data. The portion of the patient's image data that is aligned with the model of the anatomical feature is then segmented from the remaining portions of the patient's image data that are not aligned with the model.
    Type: Application
    Filed: February 5, 2007
    Publication date: August 7, 2008
    Inventors: Srikanth Suryanarayanan, Rakesh Mullick, Mitali Janardan More, Krishna Seetharam Shriram