General Electric Company

Pavan Kumar Veerabhadra Annangi

Jyotirmoy Banerjee

Rakesh Mullick

Xiaoming Liu

Sri Kaushik Pavani

Dirk Ryan Padfield

Vivek Prabhakar Vaidya

Vidya Pundalik Kamath

Mithun Das Gupta

Fei Zhao

Kajoli Banerjee Krishnan

Navneeth Subramanian

Soma Biswas

Xiaoxing Li

A method is provided for detecting lesions in ultrasound images. The method includes acquiring ultrasound information, determining discriminative descriptors that describe the texture of a candidate lesion region, and classifying each of the discriminative descriptors as one of a top boundary pixel, a lesion interior pixel, a lower boundary pixel, or a normal tissue pixel. The method also includes determining a pattern of transitions between the classified discriminative descriptors, and classifying the candidate lesion region as a lesion or normal tissue based on the pattern of transitions between the classified discriminative descriptors.

Method and system for lesion detection in ultrasound images

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

Methods, systems and computer program products for estimating the gestational age of a fetus are provided. According to one embodiment, the method generates a component image from a segmented ultrasound image of a fetal head. The component image includes one or more edges. The method then identifies a third ventricle within the component image. The method estimates a length of a bi-parietal diameter, based at least in part on the orientation of the third ventricle. Thereafter, the method estimates the gestational age of the fetus.

Methods and systems for estimating gestation age of a fetus

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Bengaluru, India

Pavan Kumar Veerabhadra Annangi