Patents by Inventor Krishna Seetharam Shriram
Krishna Seetharam Shriram 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).
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Publication number: 20220284570Abstract: Methods and systems are provided for inferring thickness and volume of one or more object classes of interest in two-dimensional (2D) medical images, using deep neural networks. In an exemplary embodiment, a thickness of an object class of interest may be inferred by acquiring a 2D medical image, extracting features from the 2D medical image, mapping the features to a segmentation mask for an object class of interest using a first convolutional neural network (CNN), mapping the features to a thickness mask for the object class of interest using a second CNN, wherein the thickness mask indicates a thickness of the object class of interest at each pixel of a plurality of pixels of the 2D medical image; and determining a volume of the object class of interest based on the thickness mask and the segmentation mask.Type: ApplicationFiled: March 4, 2021Publication date: September 8, 2022Inventors: Tao Tan, Máté Fejes, Gopal Avinash, Ravi Soni, Bipul Das, Rakesh Mullick, Pál Tegzes, Lehel Ferenczi, Vikram Melapudi, Krishna Seetharam Shriram
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Patent number: 11419585Abstract: Methods and systems are provided for turbulence monitoring during ultrasound scanning. In one example, during scanning with an ultrasound probe, a turbulence amount between two successive frames may be monitored, and in response to the turbulence amount at or above the higher threshold, deployment of the one or more image interpretation protocols may be stopped or delayed until the turbulence amount decreases below the higher threshold.Type: GrantFiled: November 18, 2019Date of Patent: August 23, 2022Assignee: GE Precision Healthcare LLCInventors: Chandan Kumar Mallappa Aladahalli, Krishna Seetharam Shriram, Vikram Melapudi
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Publication number: 20220101544Abstract: Systems and methods for tissue specific time gain compensation of an ultrasound image are provided. The method comprises acquiring an ultrasound image of a subject and displaying the ultrasound image over a console. The method further comprises selecting by a user a region within the ultrasound image that requires time gain compensation. The method further comprises carrying out time gain compensation of the user selected region of the ultrasound image. The method further comprises identifying a region having a similar texture to the user selected region and carrying out time gain compensation of the user selected region by an artificial intelligence (AI) based deep learning module.Type: ApplicationFiled: September 29, 2021Publication date: March 31, 2022Inventors: Rahul Venkataramani, Krishna Seetharam Shriram, Aditi Garg
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Publication number: 20220101048Abstract: Techniques are described for generating mono-modality training image data from multi-modality image data and using the mono-modality training image data to train and develop mono-modality image inferencing models. A method embodiment comprises generating, by a system comprising a processor, a synthetic 2D image from a 3D image of a first capture modality, wherein the synthetic 2D image corresponds to a 2D version of the 3D image in a second capture modality, and wherein the 3D image and the synthetic 2D image depict a same anatomical region of a same patient. The method further comprises transferring, by the system, ground truth data for the 3D image to the synthetic 2D image. In some embodiments, the method further comprises employing the synthetic 2D image to facilitate transfer of the ground truth data to a native 2D image captured of the same anatomical region of the same patient using the second capture modality.Type: ApplicationFiled: November 10, 2020Publication date: March 31, 2022Inventors: Tao Tan, Gopal B. Avinash, Máté Fejes, Ravi Soni, Dániel Attila Szabó, Rakesh Mullick, Vikram Melapudi, Krishna Seetharam Shriram, Sohan Rashmi Ranjan, Bipul Das, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs
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Publication number: 20220092768Abstract: Techniques are provided for generating enhanced image representations from original X-ray images using deep learning techniques. In one embodiment, a system is provided that includes a memory storing computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can include a reception component, an analysis component, and an artificial intelligence component. The analysis component analyzes the original X-ray image using an AI-based model with respect to a set of features of interest. The AI component generates a plurality of enhanced image representations. Each enhanced image representation highlights a subset of the features of interest and suppresses remaining features of interest in the set that are external to the subset.Type: ApplicationFiled: December 15, 2020Publication date: March 24, 2022Inventors: Vikram Melapudi, Bipul Das, Krishna Seetharam Shriram, Prasad Sudhakar, Rakesh Mullick, Sohan Rashmi Ranjan, Utkarsh Agarwal
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Publication number: 20220087645Abstract: Systems and methods for guided lung coverage and automated detection using ultrasound devices are disclosed. The method for guided coverage and automated detection of pathologies of a subject includes positioning an ultrasound probe on a region of the subject body to be imaged. The method includes capturing a video of the subject and processing the video to generate a torso image of the subject and identify location of the ultrasound probe on the subject body. The method includes registering the video to an anatomical atlas to generate a mask of the region of the subject body comprising a plurality of sub-regions of the subject body to be imaged and superimposing the mask over the torso image. The method further includes displaying an indicator corresponding to a location of the each of the plurality of the sub-regions on the torso image.Type: ApplicationFiled: September 23, 2020Publication date: March 24, 2022Inventors: Vikram Melapudi, Chandan Kumar Mallappa Aladahalli, Krishna Seetharam Shriram
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Publication number: 20220067919Abstract: The present disclosure relates to a system and method for identifying a tumor or lesion in a probability map. In accordance with certain embodiments, a method includes identifying, with a processor, a first region of interest in a first projection image, generating, with the processor, a first probability map from the first projection image and a second probability map from a second projection image, wherein the first probability map includes a second region of interest that has location that corresponds to a location of the first region of interest, interpolating the first probability map and the second probability map, thereby generating a probability volume, wherein the probability volume includes the second region of interest, and outputting, with the processor, a representation of the probability volume to a display.Type: ApplicationFiled: August 26, 2020Publication date: March 3, 2022Inventors: Krishna Seetharam Shriram, Arathi Sreekumari, Rakesh Mullick
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Patent number: 11160528Abstract: A method for assisted reading of automated ultrasound image volumes includes receiving a plurality of scan images generated from an imaging device, wherein the plurality of scan images comprises a chest wall region. The method further includes determining a chest wall model representative of the chest wall region based on the plurality of scan images. The method also includes determining a plurality of segmented scan images segmented along the chest wall region based on the chest wall model. In addition, the method includes determining lesion information using an automated lesion detection technique applied to the plurality of segmented scan images. The method also includes displaying the plurality of scan images along with at least one of the lesion information and the chest wall model.Type: GrantFiled: December 8, 2016Date of Patent: November 2, 2021Assignee: General Electric CompanyInventors: Chandan Kumar Mallappa Aladahalli, Krishna Seetharam Shriram, Vivek Prabhakar Vaidya, Arathi Sreekumari, Jiayu Chen, Hidenori Shikata
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Publication number: 20210287361Abstract: Methods and systems are provided for assessing image quality of ultrasound images. In one example, a method includes determining a probe position quality parameter of an ultrasound image, the probe position quality parameter representative of a level of quality of the ultrasound image with respect to a position of an ultrasound probe used to acquire the ultrasound image, determining one or more acquisition settings quality parameters of the ultrasound image, each acquisition settings quality parameter representative of a respective level of quality of the ultrasound image with respect to a respective acquisition setting used to acquire the ultrasound image, and providing feedback to a user of the ultrasound system based on the probe position quality parameter and/or the one or more acquisition settings quality parameters, the probe position quality parameter and each acquisition settings quality parameter determined based on output from separate image quality assessment models.Type: ApplicationFiled: March 16, 2020Publication date: September 16, 2021Inventors: Krishna Seetharam Shriram, Rahul Venkataramani, Aditi Garg, Chandan Kumar Mallappa Aladahalli
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Publication number: 20210145411Abstract: Methods and systems are provided for turbulence monitoring during ultrasound scanning. In one example, during scanning with an ultrasound probe, a turbulence amount between two successive frames may be monitored, and in response to the turbulence amount at or above the higher threshold, deployment of the one or more image interpretation protocols may be stopped or delayed until the turbulence amount decreases below the higher threshold.Type: ApplicationFiled: November 18, 2019Publication date: May 20, 2021Inventors: Chandan Kumar Mallappa Aladahalli, Krishna Seetharam Shriram, Vikram Melapudi
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Publication number: 20210128114Abstract: A system and method for automatically adjusting beamformer parameters based on ultrasound image analysis to enhance ultrasound image acquisition is provided. The method includes acquiring, by an ultrasound system, an ultrasound image. The method includes segmenting, by at least one processor, the ultrasound image to identify anatomical structure(s) and/or image artifact(s) in the ultrasound image. The method includes detecting, by the at least one processor, a location of each of the identified anatomical structure(s) and/or image artifact(s). The method includes automatically adjusting, by the at least one processor, at least one beamformer parameter based on the detected location of one or more of the identified anatomical structure(s) and/or the image artifact(s). The method includes acquiring, by the ultrasound system, an enhanced ultrasound image based on the automatically adjusted at least one beamformer parameter. The method includes presenting, at a display system, the enhanced ultrasound image.Type: ApplicationFiled: November 4, 2019Publication date: May 6, 2021Inventors: Abhijit Patil, Vikram Melapudi, Krishna Seetharam Shriram, Chandan Kumar Mallappa Aladahalli
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Publication number: 20210106314Abstract: Various methods and systems are provided for generating a context awareness graph for a medical scan image. In one example, the context awareness graph includes relative size and relative position annotations with regard to one or more internal anatomical features in the scan image to enable a user to determine a current scan plane and further, to guide the user to a target scan plane.Type: ApplicationFiled: October 11, 2019Publication date: April 15, 2021Inventors: Chandan Kumar Mallappa Aladahalli, Krishna Seetharam Shriram, Vikram Melapudi
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Publication number: 20210077059Abstract: Systems and methods are provided for projection profile enabled computer aided detection (CAD). Volumetric ultrasound dataset may be generated, based on echo ultrasound signals, and based on the volumetric ultrasound dataset, a three-dimensional (3D) ultrasound volume may generated. Selective structure detection may be applied to the three-dimensional (3D) ultrasound volume.Type: ApplicationFiled: September 18, 2019Publication date: March 18, 2021Inventors: Krishna Seetharam Shriram, Arathi Sreekumari, Rakesh Mullick
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Publication number: 20200305837Abstract: An ultrasound scanning guidance method includes acquiring an image by an ultrasound probe of a target organ during an ultrasound scanning procedure. The acquired image corresponds to a pose of the target organ in an acquired scan plane. The method further includes processing the image by a guidance unit to determine an anatomical context around the target organ based on the acquired image. The processing the image also includes determining a relative location of the acquired scan plane with reference to a standard scan plane based on the pose of the target organ and the anatomical context. The processing further includes generating scanning guidance based on the relative location of the acquired scan plane. The scanning guidance includes information to move the probe towards a standard pose of the target organ. The method also includes presenting the scanning guidance by an output device for aiding continuance of the scanning procedure.Type: ApplicationFiled: March 27, 2019Publication date: October 1, 2020Inventors: Chandan Kumar Mallappa Aladahalli, Krishna Seetharam Shriram, Srinivas Varna
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Publication number: 20200069285Abstract: A method for ultrasound imaging is presented. The method includes acquiring at least one image of a subject, determining a current position of an ultrasound probe on a body surface of the subject based on the image, identifying anatomical regions of interest in the image, quantifying the image to determine suitability of the image to one or more scan planes corresponding to a clinical protocol, generating a personalized anatomical model of the subject based on a current position of the ultrasound probe, the identified anatomical regions of interest, and the quantification of the image, computing a desired trajectory of the ultrasound probe from the current location to a target location based on the clinical protocol, communicating a desired movement of the ultrasound probe based on the computed trajectory, moving the ultrasound probe along the computed trajectory based on the communicated desired movement to acquire images of the subject.Type: ApplicationFiled: August 31, 2018Publication date: March 5, 2020Inventors: Pavan Kumar Annangi, Chandan Kumar Aladahalli, Krishna Seetharam Shriram, Prasad Sudhakar
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Publication number: 20200060657Abstract: A system includes a memory unit comprising a classifier network and a detector network. The classifier network is configured to perform a classification of a scan image among maternal images. The detector network is configured to determine a placenta condition in the scan image. The system further includes a data acquisition unit communicatively coupled to an ultrasound scanner and configured to receive maternal images from a maternal scanning procedure. The system also includes an image processing unit communicatively coupled to the memory unit and the data acquisition unit and configured to select a sagittal image from the maternal images using the classifier network. The image processing unit is further configured to determine a placenta condition based on the selected sagittal image using the detector network. The image processing unit is also configured to provide a recommendation to a medical professional based on the placenta condition.Type: ApplicationFiled: August 22, 2018Publication date: February 27, 2020Inventors: Chandan Kumar Aladahalli, Krishna Seetharam Shriram, Rakesh Mullick, Bipul Das
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Patent number: 10262425Abstract: A method for synchronization of a longitudinal data set from a subject includes receiving a first ensemble registration estimate having a first reference image corresponding to a first image ensemble and receiving a second image ensemble different from the first image ensemble. The method includes determining a second reference image based on the second image ensemble and the first reference image. Further, the method includes determining a second ensemble registration estimate based on the first ensemble registration estimate, the second reference image, the first image ensemble and the second image ensemble using an optimization technique. The method further includes generating a synchronized image ensemble corresponding to the first image ensemble and the second image ensemble based on the second ensemble registration estimate. The method also includes determining a medical condition of the subject by a medical practitioner based on the synchronized image ensemble.Type: GrantFiled: June 29, 2017Date of Patent: April 16, 2019Assignee: GENERAL ELECTRIC COMPANYInventors: Chandan Kumar Mallappa Aladahalli, Krishna Seetharam Shriram, Dattesh Dayanand Shanbhag, Sheshadri Thiruvenkadam, Sandeep Suryanarayana Kaushik, Rakesh Mullick
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Publication number: 20180005389Abstract: A method for synchronization of a longitudinal data set from a subject includes receiving a first ensemble registration estimate having a first reference image corresponding to a first image ensemble and receiving a second image ensemble different from the first image ensemble. The method includes determining a second reference image based on the second image ensemble and the first reference image. Further, the method includes determining a second ensemble registration estimate based on the first ensemble registration estimate, the second reference image, the first image ensemble and the second image ensemble using an optimization technique. The method further includes generating a synchronized image ensemble corresponding to the first image ensemble and the second image ensemble based on the second ensemble registration estimate. The method also includes determining a medical condition of the subject by a medical practitioner based on the synchronized image ensemble.Type: ApplicationFiled: June 29, 2017Publication date: January 4, 2018Inventors: Chandan Kumar Mallappa Aladahalli, Krishna Seetharam Shriram, Dattesh Dayanand Shanbhag, Sheshadri Thiruvenkadam, Sandeep Suryanarayana Kaushik, Rakesh Mullick
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Publication number: 20170172540Abstract: A method for assisted reading of automated ultrasound image volumes includes receiving a plurality of scan images generated from an imaging device, wherein the plurality of scan images comprises a chest wall region. The method further includes determining a chest wall model representative of the chest wall region based on the plurality of scan images. The method also includes determining a plurality of segmented scan images segmented along the chest wall region based on the chest wall model. In addition, the method includes determining lesion information using an automated lesion detection technique applied to the plurality of segmented scan images. The method also includes displaying the plurality of scan images along with at least one of the lesion information and the chest wall model.Type: ApplicationFiled: December 8, 2016Publication date: June 22, 2017Inventors: Chandan Kumar Mallappa Aladahalli, Krishna Seetharam Shriram, Vivek Prabhakar Vaidya, Arathi Sreekumari, Jiayu Chen, Hidenori Shikata
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Patent number: 9471976Abstract: A method implemented using at least one processor includes receiving time-varying image dataset generated by a medical imaging modality. The image dataset corresponds to a bed position and is affected by quasi-periodic motion data. The method also includes applying a signal decomposition technique to the time-varying image dataset to generate a plurality of dataset components and a plurality of motion signals. The method also includes determining reference data based on the time-varying image dataset, wherein the reference data is representative of a direction of the quasi-periodic motion. The method further includes deriving polarity of each of the plurality of motion signals based on the reference data to generate a plurality of sign corrected motion signals. The method also includes determining a gating signal corresponding to the bed position based on at least one of the plurality of sign corrected motion signals.Type: GrantFiled: February 20, 2015Date of Patent: October 18, 2016Assignee: General Electric CompanyInventors: Sheshadri Thiruvenkadam, Krishna Seetharam Shriram, Ravindra Mohan Manjeshwar, Srikrishnan Viswanathan, Kris Filip Johan Jules Thielemans