General Electric Company

Navneeth Subramanian

Rakesh Mullick

Xiaoming Liu

Cynthia Elizabeth Landberg Davis

Sheshadri Thiruvenkadam

Dirk Ryan Padfield

Srikanth Suryanarayanan

Ying Fan

Gokul Swamy

Mithun Das Gupta

Hae Won Lim

Kajoli Banerjee Krishnan

Pavan Kumar Veerabhadra Annangi

Jyotirmoy Banerjee

Anand Magadi Narasimhamurthy

Nitya Subramaniam

A method for identifying an optimal image frame is presented. The method includes receiving a selection of an anatomical region of interest in an object of interest. Furthermore, the method includes obtaining a plurality of image frames corresponding to the selected anatomical region of interest. The method also includes determining a real-time indicator corresponding to the plurality of acquired image frames, wherein the real-time indicator is representative of quality of an image frame. In addition, the method includes communicating the real-time indicator to aid in selecting an optimal image frame. Systems and non-transitory computer readable medium configured to perform the method for identifying an optimal image frame are also presented.

System and method for identifying an optimal image frame for ultrasound imaging

A method for automatically measuring interventricular septum thickness is provided. The method in one embodiment comprises acquiring a series of ultrasound images of a heart, acquiring a septum mask by applying a septum segmentation algorithm on the series of ultrasound images, localizing a mitral valve tip using a valve tip localization algorithm and calculating the thickness of the interventricular septum using an interventricular septum thickness algorithm. The interventricular septum thickness algorithm uses the septum mask and the localized mitral valve tip as inputs.

Methods and apparatus for automated measuring of the interventricular septum thickness

A system for providing non-invasive ultrasound based treatment to a region of interest is provided. The system comprises an imaging unit for imaging one or more tissue types in the region of interest, an image processing unit that is configured to identify the one or more tissue types in the region of interest, an ultrasound transducer that is configured to focus an ultrasound beam to ablate at least a portion of the identified tissues, and a controller unit that controls a delivery of the ultrasound beam to the region of interest.

Systems and methods for automatically identifying and segmenting different tissue types in ultrasound images

A method is provided for identifying a location of a region of interest in a volumetric image scan that includes a plurality of slices of an object and wherein each slice, in turn, includes a plurality of pixels. The method includes setting a predetermined pixel intensity threshold corresponding to a particular region of interest; identifying target pixels for each slice from the plurality of pixels that exceed the predetermined pixel intensity threshold; creating an energy profile from the target pixels for each slice; and comparing the energy profile to a predefined energy profile to determine the location of the region of interest.

Method for registration and navigation of volumetric scans using energy profiles

Growing community of inventors

Bengaluru, India

Navneeth Subramanian