General Electric Company

Airamatrix Private Limited

Nitin Singhal

Christian Fritz Perrey

Kajoli Banerjee Krishnan

Satya Chaitanya Kondragunta

Rakesh Mullick

Daniel John Buckton

Klaus Pintoffl

Walter Duda, Jr

Francesca Patruno

Suvadip Mukherjee

Bharathi Vijay

Micro-biological colony counters and more particularly, to a device and a method for lighting, conditioning and capturing image(s) of organic sample(s) such as but not limited to micro-organisms. The device () captures accurate image(s) of organic sample(s) and has a fixed focus imaging for repeatability in quality of images. The device () can capture images of organic sample in different lighting and color conditions thereby improving detection of microbiological colonies by increasing the contrast from the background medium. The color calibrated imaging device () provides diffused illumination by using polychromatic LED lights, light reflectors and light diffusers for optimal color reproduction of micro-biological colonies contained in organic sample(s). The device () is adapted for automatic capturing of images of organic sample(s) cultivated on petri dishes of different sizes.

Device and a method for lighting, conditioning and capturing image(s) of organic sample(s)

Methods and systems for managing a petri-dish. Embodiments herein disclose a RFID tag affixed on the petri-dish, wherein the RFID tag has a thin formfactor, so as not to interfere in the use and operation of the petri-dish and a sufficiently large readability range. Embodiments herein disclose methods and systems for RFID based asset tracking of petri-dishes in a laboratory/pharmaceutical/manufacturing environment, wherein the movement of the petri-dishes are tracked automatically with minimal manual intervention.

Methods and systems for tracking the location of a petri-dish

A system (e.g., an ultrasound imaging system) is provided. The system includes an ultrasound probe configured to acquire three-dimensional (3D) ultrasound data of a volumetric region of interest (ROI). The system further includes a display, a memory configured to store programmed instructions, and a controller circuit. The controller circuit includes one or more processors. The controller circuit is configured to execute the programmed instructions stored in the memory. When executing the programmed instructions, the controller circuit performs a plurality of operations. The operations includes collecting the 3D ultrasound data from an ultrasound probe and identifying a select set of the 3D ultrasound data corresponding to an object of interest within the volumetric ROI. The operations further include segmenting the object of interest from the select set of the 3D ultrasound data, generating a visualization plane of the object of interest, and displaying the visualization plane on the display.

Method and system for generating a visualization plane from 3D ultrasound data

Systems and methods are provided relating to hierarchical machine learning models to identify an anatomical structure of interest and perform diagnostic procedures for a medical diagnostic imaging system. The systems and methods organize a plurality of models into a hierarchical structure based on anatomical structures. The plurality of models are defined by a machine learning algorithm for diagnostic procedures of one or more of the anatomical structures. The systems and methods receive a medical image, identifying an anatomical structure of interest within the medical image, select at least a first model from the plurality of models based on the anatomical structure of interest, and perform a first diagnostic procedure of the anatomical structure of interest based on the first model.

Methods and systems for hierarchical machine learning models for medical imaging

A method for automatically monitoring fetal head descent in a birth canal is presented. The method includes segmenting each image in one or more images into a plurality of neighborhood components, determining a cost function corresponding to each neighborhood component in the plurality of neighborhood components in each of the one or more images, identifying at least two structures of interest in each image in the one or more images based on the cost function, wherein the at least two structures of interest include a pubic ramus and a fetal head, measuring an angle of progression based on the at least two structures of interest, and determining the fetal head descent in the birth canal based on the angle of progression.

System and method for automated monitoring of fetal head descent during labor

Embodiments for aligning a volume to a standard alignment are provided. One example method of aligning a volume constructed from captured image data to a standard orientation includes determining an orientation and a scale of the volume based on a comparison of a volume model representing the volume to captured image data of the volume over time and adjusting the volume according to the determined orientation and scale.

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Bengaluru, India

Nitin Singhal