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公开(公告)号:US20250123346A1
公开(公告)日:2025-04-17
申请号:US18484860
申请日:2023-10-11
Applicant: GE Precision Healthcare LLC
Inventor: Tisha Anie Abraham , Dattesh Dayanand Shanbhag , Harsh Kumar Agarwal , Sheila Srinivasan Washburn , Maggie MeiKei Fung , Suchandrima Banerjee , Patrick Quarterman , Ramesh Venkatesan , Sajith Rajamani
Abstract: A method includes receiving a selection of a scan protocol for the scan of a subject and obtaining localizer images including an anatomic landmark of interest of the subject acquired with the MRI system. The method includes automatically detecting the anatomic landmark of interest in localizer images and determining a geometry plan of the scan including extents of the anatomic landmark of interest. The method includes automatically determining a coverage of the scan to include the anatomic landmark of interest and to match the extents of the anatomic landmark of interest. The method includes obtaining limits on adjustments scan time and one or more image quality parameters for the scan protocol. The method includes generating an updated scan protocol by automatically adjusting one or more parameters of the scan protocol based on the scan protocol, the limits on adjustments, and the coverage of the scan.
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公开(公告)号:US20240385274A1
公开(公告)日:2024-11-21
申请号:US18318489
申请日:2023-05-16
Applicant: GE Precision Healthcare LLC
Inventor: Nitin Jain , Ashok Kumar P Reddy , Rajdeep Das , Sajith Rajamani , Rajagopalan Sundaresan , Harsh Kumar Agarwal , Ramesh Venkatesan
IPC: G01R33/58 , G01R33/56 , G01R33/561 , G01R33/563
Abstract: A method includes obtaining k-space data acquired by an MRI scanner from a single channel body coil utilizing a multi-shot EP-DWI pulse sequence and sampling the k-space data for a plurality of shots so that for each shot both a central k-space is fully sampled to form a central calibration region and an outer k-space is partially sampled by a factor equal to a number of shots. The method includes reconstructing an initial fully sampled k-space estimate for each shot utilizing both partial Fourier constant sampling and projection on convex sets reconstruction, wherein the plurality of shots is treated as a plurality of channels for filling in missing k-space for a respective shot. The method includes utilizing a low-rank regularization algorithm in an iterative manner to generate a reconstructed image for each shot, wherein the initial fully sampled k-space estimate for each shot is utilized as an initial guess.
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公开(公告)号:US20240385267A1
公开(公告)日:2024-11-21
申请号:US18665381
申请日:2024-05-15
Applicant: GE Precision Healthcare LLC
Inventor: Sudhanya Chatterjee , Harsh Kumar Agarwal , Florintina C , Rohan Keshav Patil , Suresh Emmanuel Devadoss Joel , Sajith Rajamani
IPC: G01R33/48 , G01R33/385 , G01R33/56
Abstract: A method for magnetic resonance imaging (MRI) includes determining a Partial Fourier (PF) factor and an acceleration factor for acquiring k-space data from a subject. The method also includes acquiring a set of k-space data from the subject using the PF factor along with an under-sampling technique, wherein the under-sampling technique is dependent on the acceleration factor. The image of the subject is reconstructed by processing the set of k-space data using a deep learning (DL) network.
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公开(公告)号:US20250052843A1
公开(公告)日:2025-02-13
申请号:US18446898
申请日:2023-08-09
Applicant: GE Precision Healthcare LLC
Inventor: Florintina C , Suresh Emmanuel Devadoss Joel , Sajith Rajamani , Preetham Shankpal , Megha Goel , Sudhanya Chatterjee
IPC: G01R33/565 , G01R33/48 , G01R33/56 , G06T5/00
Abstract: A system and method for improving image quality of periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) imaging include acquiring a plurality of blades of k-space data of a region of interest in a rotational manner around a center of k-space via a magnetic resonance imaging (MRI) scanner from a coil during a PROPELLER sequence, wherein each blade of the plurality of blades of k-space data includes a plurality of parallel phase encoding lines sampled in a phase encoding order. The system and method also include utilizing a deep learning-based denoising network to denoise each blade of the plurality of blades of k-space data to generate a plurality of denoised blades. The system and method further include utilizing a PROPELLER reconstruction algorithm to generate a complex image from the plurality of denoised blades.
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公开(公告)号:US20240378696A1
公开(公告)日:2024-11-14
申请号:US18144452
申请日:2023-05-08
Applicant: GE Precision Healthcare LLC
Inventor: Florintina C , Sajith Rajamani , Preetham Shankpal , Suresh Emmanuel Devadoss Joel , Sudhanya Chatterjee , Rohan Patil , Ramesh Venkatesan , Rajagopalan Sundaresan , Harsh Kumar Agarwal
Abstract: A method includes acquiring an MRI complex signal having a plurality of complex echoes during an SWI sequence. The method includes phase filtering each complex echo of the plurality of complex echoes. The method also includes generating a respective phase image and a respective magnitude image from each phase filtered complex echo. The method further includes combining separately the respective magnitude images of the plurality of complex echoes with each other to generate a combined magnitude image and the respective phase images of the plurality of complex echoes with each other to generate a combined phase image. The method includes generating a complex image from both the combined magnitude image and the combined phase image. The method includes utilizing a deep learning-based denoising network to denoise the complex image to generate a denoised complex image.
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