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1.发明公开公开(公告)号：US20240265590A1
公开(公告)日：2024-08-08
申请号：US18106614
申请日：2023-02-07
Applicant: GE Precision Healthcare LLC
Inventor： Arka Datta , John Moore Boudry , Roy-Arnulf Helge Nilsen , Brian Edward Nett , Holly Ann McDaniel
CPC classification number: G06T11/005 , A61B6/032 , A61B6/52
Abstract: A computer-implemented method includes generating an image from scan data acquired during a non-diagnostic scan utilizing a computed tomography scanner. The computer-implemented method also includes performing object segmentation based on pixel connectivity on the image to generate segmented regions. The computer-implemented method further includes characterizing pixel connectivity properties of the segmented regions. The computer-implemented method still further includes obtaining respective bounding shape coordinates and area for bounding shapes of the segmented regions.
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公开(公告)号：US20240169609A1
公开(公告)日：2024-05-23
申请号：US18056305
申请日：2022-11-17
Applicant: GE Precision Healthcare LLC
Inventor： Arka Datta , Brian Nett , John M. Boudry
IPC: G06T11/00
CPC classification number: G06T11/005 , G06T2210/41
Abstract: Computer processing techniques are described for computed tomography (CT) value adjustment of CT images. According to an example, determining, by a system comprising a processor, an adjustment to a calibration vector used to reconstruct CT scan data into first CT image data, wherein determining the adjustment is based on difference between a current CT value of a region in the first CT image data and a target CT value for the region. The method further comprises modifying, by the system, the calibration vector based on the adjustment, resulting in a modified calibration vector, and reconstructing, by the system, the CT scan data into second CT image data using the modified calibration vector, resulting in the region in the second CT image data comprising the target CT value.
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公开(公告)号：US20230109837A1
公开(公告)日：2023-04-13
申请号：US17493005
申请日：2021-10-04
Applicant: GE PRECISION HEALTHCARE LLC
Inventor： Arka Datta , John Moore Boudry , Brandon Allan Smith
Abstract: A method for verifying aperture positions of a pre-patient collimator of a computed tomography (CT) imaging system includes obtaining data collected by an X-ray measurement device having detector elements subjected to X-rays emitted from an X-ray source of the CT imaging system with the pre-patient collimator at an expected aperture position. The method also includes calculating a measured collimator aperture position for the pre-patient collimator based on the obtained data. The method further includes comparing the measured collimator aperture position to a system specification for the expected aperture position for the CT imaging system. The method even further includes generating an output based on the comparison of the measured collimator aperture position to the system specification.
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公开(公告)号：US20250025124A1
公开(公告)日：2025-01-23
申请号：US18354267
申请日：2023-07-18
Applicant: GE Precision Healthcare LLC
Inventor： Arka Datta , John Moore Boudry , Ryan James Lemminger , Daniel Joseph Grieshop , Roy-Arnulf Helge Nilsen
IPC: A61B6/00
Abstract: A system and a method for maintaining an X-ray focal spot position at a desired location on an X-ray detector of an X-ray imaging system include obtaining, via processing circuitry, a scan protocol for performing an X-ray scan with the X-ray imaging system. The system and the method also include determining, via the processing circuitry, a bending magnet current value to utilize to maintain the X-ray focal spot position of an X-ray beam emitted from an X-ray tube of the X-ray imaging system at the desired location on the X-ray detector based on a plurality of acquisition parameters of the X-ray scan. The system and the method further include utilizing, via the processing circuitry, the bending magnet current value during the X-ray scan to maintain the X-ray focal spot position at the desired location on the X-ray detector.
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公开(公告)号：US12144672B2
公开(公告)日：2024-11-19
申请号：US17536323
申请日：2021-11-29
Applicant: GE PRECISION HEALTHCARE LLC
Inventor： Arka Datta , Krista Mae McClure , John Moore Boudry
Abstract: A computer-implemented method includes obtaining, at a processor, a tomographic image of a phantom, wherein the phantom includes heterogeneous regions having a plurality of materials with varying attenuation coefficients. The method also includes automatically segmenting, via the processor, the heterogeneous regions from the tomographic image to generate a segmented image. The method further includes automatically identifying, via the processor, a plurality of regions of interest having varying attenuation coefficients within the tomographic image based on the segmented image. The method still further includes automatically labeling, via the processor, each region of interest of the plurality of regions of interest as representing a particular material of the plurality of materials. The method even further includes outputting, via the processor, a labeled image of the tomographic image. The method may be utilized in quality assurance testing and calibration.
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Patent Agency Ranking
公开(公告)号：US20230317264A1
公开(公告)日：2023-10-05
申请号：US17657411
申请日：2022-03-31
Applicant: GE Precision Healthcare LLC
Inventor： Arka Datta , Adam Israel Cohen
CPC classification number: G16H40/40 , A61B6/4021 , A61B6/4035 , A61B6/4266
Abstract: Systems/techniques that facilitate low-cost estimation and/or tracking of intra-scan focal-spot displacement are provided. In various embodiments, a system can cause a medical imaging scanner to perform an air scan. In various aspects, the system can access data produced by the medical imaging scanner and relating to the air scan, where the data can include a set of gantry angles swept by an X-ray tube during the air scan, where the data can include a set of intensity value matrices recorded by a multi-channel-multi-row detector during the air scan, and where the set of intensity value matrices respectively correspond to the set of gantry angles. In various instances, the system can compute a set of channel-spanning intensity slopes based on the set of intensity value matrices. In various cases, the system can apply a slope-to-displacement transfer function to the set of channel-spanning intensity slopes, thereby yielding a set of focal-spot displacements.
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公开(公告)号：US20230165557A1
公开(公告)日：2023-06-01
申请号：US17536323
申请日：2021-11-29
Applicant: GE PRECISION HEALTHCARE LLC
Inventor： Arka Datta , Krista Mae McClure , John Moore Boudry
CPC classification number: A61B6/584 , G06T7/11 , G06T2207/10081 , G06T2207/20081 , G06T2207/20084 , G06T2207/30004
Abstract: A computer-implemented method includes obtaining, at a processor, a tomographic image of a phantom, wherein the phantom includes heterogeneous regions having a plurality of materials with varying attenuation coefficients. The method also includes automatically segmenting, via the processor, the heterogeneous regions from the tomographic image to generate a segmented image. The method further includes automatically identifying, via the processor, a plurality of regions of interest having varying attenuation coefficients within the tomographic image based on the segmented image. The method still further includes automatically labeling, via the processor, each region of interest of the plurality of regions of interest as representing a particular material of the plurality of materials. The method even further includes outputting, via the processor, a labeled image of the tomographic image. The method may be utilized in quality assurance testing and calibration.
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公开(公告)号：US20250166793A1
公开(公告)日：2025-05-22
申请号：US18516762
申请日：2023-11-21
Applicant: GE Precision Healthcare LLC
Inventor： John Londt , Arka Datta , Darin Okerlund
Abstract: Methods and systems are provided to predict an upper threshold and a lower threshold of a heart rate (HR) of a patient of a computed tomography (CT) imaging system using a machine learning (ML) model, based on HR time series data collected over a duration prior to a cardiac scan. The ML model takes as an additional input a desired probabilistic certainty (e.g., statistical confidence level) that the predicted upper and lower HR thresholds will be accurate, provided by an operator of the CT imaging system. Before the start of the imaging scan, the predicted upper and lower HR thresholds are used to set the start exposure and end exposure times, to ensure that the requested cardiac phases are acquired.
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公开(公告)号：US20240398339A1
公开(公告)日：2024-12-05
申请号：US18329471
申请日：2023-06-05
Applicant: GE Precision Healthcare LLC
Inventor： Arka Datta , Brian Nett , Chelsey Lewis
Abstract: Methods and systems are provided for aiding a subject of a medical imaging exam in performing coached breathing. In one embodiment, a method for a medical imaging system comprises generating a three-dimensional (3-D) virtual representation of a portion of a surface of a chest and/or abdomen of a subject of the medical imaging system, the portion adjustable in size by an operator of the medical imaging system; displaying changes in the 3-D virtual representation to the subject on a display device of the medical imaging system while the subject breathes, in real time; displaying instructions to the subject on the display device to perform coached breathing in accordance with a selected breathing pattern, using the 3-D virtual representation as a guide; and in response to detecting a deviation of a breathing pattern of the subject from the selected breathing pattern, indicating the deviation to the subject.
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公开(公告)号：US20240324977A1
公开(公告)日：2024-10-03
申请号：US18192933
申请日：2023-03-30
Applicant: GE Precision Healthcare LLC
Inventor： Arka Datta , Brian E. Nett
CPC classification number: A61B6/488 , A61B6/032 , A61B6/4435 , A61B6/461
Abstract: An imaging system and method for using the imaging system are described. In one example, a method of creating representative position information of a patient during a medical imaging scan is provided. The method includes, prior to performing a medical imaging scan, performing initial LiDAR data acquisition to obtain baseline LiDAR data, performing segmentation of the baseline LiDAR data, wherein the baseline LiDAR data includes a three-dimensional (3D) point cloud model, performing continuous LiDAR data acquisition to obtain continuous LiDAR data, which includes a real-time 3D point cloud model, and comparing the baseline LiDAR data with the continuous LiDAR data to detect motion of a patient.
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