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公开(公告)号：US10803585B2
公开(公告)日：2020-10-13
申请号：US16155680
申请日：2018-10-09
摘要： The present disclosure relates to the classification of images, such as medical images using machine learning techniques. In certain aspects, the technique may employ a distance metric for the purpose of classification, where the distance metric determined for a given image with respect to a homogenous group or class of images is used to classify the image.
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公开(公告)号：US20210251611A1
公开(公告)日：2021-08-19
申请号：US16795220
申请日：2020-02-19
发明人： Jhimli Mitra , Sudhanya Chatterjee , Thomas Kwok-Fah Foo , Desmond Teck Beng Yeo , Bryan Patrick Bednarz , Sydney Jupitz
摘要： The present disclosure relates to automatically determining respiratory phases (e.g., end-inspiration/expiration respiratory phases) in real time using ultrasound beamspace data. The respiratory phases may be used subsequently in a therapy or treatment (e.g., image-guided radiation-therapy (IGRT)) for precise dose-delivery. In certain implementations, vessel bifurcation may be tracked and respiration phases determined in real time using the tracked vessel bifurcations to facilitate respiration gating of the treatment or therapy.
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公开(公告)号：US20210077077A1
公开(公告)日：2021-03-18
申请号：US16570859
申请日：2019-09-13
发明人： Jhimli Mitra , Thomas Kwok-Fah Foo , Desmond Teck Beng Yeo , David Martin Mills , Soumya Ghose , Michael John MacDonald
摘要： The subject matter discussed herein relates to multi-modal image alignment to facilitate biopsy procedures and post-biopsy procedures. In one such example, prostate structures (or other suitable anatomic features or structures) are automatically segmented in pre-biopsy MR and pre-biopsy ultrasound images. Thereafter, pre-biopsy MR and pre-biopsy ultrasound contours are aligned. To account for non-linear deformation of the imaged anatomic structure, a patient-specific transformation model is trained via deep learning based at least in part on the pre-biopsy ultrasound images. The pre-biopsy ultrasound images that are overlaid with the pre-biopsy MR contours and based off the deformable transformation model are then aligned with the biopsy ultrasound images. Such real-time alignment using multi-modality imaging techniques provides guidance during the biopsy and post-biopsy system.
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公开(公告)号：US20210042878A1
公开(公告)日：2021-02-11
申请号：US16534785
申请日：2019-08-07
发明人： Soumya Ghose , Jhimli Mitra , David Martin Mills , Lowell Scott Smith , Desmond Teck Beng Yeo , Thomas Kwok-Fah Foo
摘要： The subject matter discussed herein relates to the automatic, real-time registration of pre-operative magnetic resonance imaging (MRI) data to intra-operative ultrasound (US) data (e.g., reconstructed images or unreconstructed data), such as to facilitate surgical guidance or other interventional procedures. In one such example, brain structures (or other suitable anatomic features or structures) are automatically segmented in pre-operative and intra-operative ultrasound data. Thereafter, anatomic structure (e.g., brain structure) guided registration is applied between pre-operative and intra-operative ultrasound data to account for non-linear deformation of the imaged anatomic structure. MR images that are pre-registered to pre-operative ultrasound images are then given the same nonlinear spatial transformation to align the MR images with intra-operative ultrasound images to provide surgical guidance.
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公开(公告)号：US20200146635A1
公开(公告)日：2020-05-14
申请号：US16184690
申请日：2018-11-08
摘要： A method is provided. The method includes acquiring simultaneously multiple magnetic resonance (MR) images and multiple ultrasound images of an anatomical region of a subject over a scanned duration. The method also includes training an unsupervised deep learning-based deformable registration network. This training includes training a MR registration subnetwork based on the multiple MR images to generate MR deformation and transformation vectors, training an ultrasound registration subnetwork based on the multiple ultrasound images to generate ultrasound deformation and transformation vectors, and training a MR-to-ultrasound subnetwork based the multiple MR images and the multiple ultrasound images to generate MR-to-ultrasound deformation and transformation vectors between corresponding pairs of MR images and ultrasound images at each time point.
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公开(公告)号：US20200111210A1
公开(公告)日：2020-04-09
申请号：US16155680
申请日：2018-10-09
摘要： The present disclosure relates to the classification of images, such as medical images using machine learning techniques. In certain aspects, the technique may employ a distance metric for the purpose of classification, where the distance metric determined for a given image with respect to a homogenous group or class of images is used to classify the image.
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公开(公告)号：US11304683B2
公开(公告)日：2022-04-19
申请号：US16570859
申请日：2019-09-13
发明人： Jhimli Mitra , Thomas Kwok-Fah Foo , Desmond Teck Beng Yeo , David Martin Mills , Soumya Ghose , Michael John MacDonald
摘要： The subject matter discussed herein relates to multi-modal image alignment to facilitate biopsy procedures and post-biopsy procedures. In one such example, prostate structures (or other suitable anatomic features or structures) are automatically segmented in pre-biopsy MR and pre-biopsy ultrasound images. Thereafter, pre-biopsy MR and pre-biopsy ultrasound contours are aligned. To account for non-linear deformation of the imaged anatomic structure, a patient-specific transformation model is trained via deep learning based at least in part on the pre-biopsy ultrasound images. The pre-biopsy ultrasound images that are overlaid with the pre-biopsy MR contours and based off the deformable transformation model are then aligned with the biopsy ultrasound images. Such real-time alignment using multi-modality imaging techniques provides guidance during the biopsy and post-biopsy system.
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公开(公告)号：US10957010B2
公开(公告)日：2021-03-23
申请号：US16534785
申请日：2019-08-07
发明人： Soumya Ghose , Jhimli Mitra , David Martin Mills , Lowell Scott Smith , Desmond Teck Beng Yeo , Thomas Kwok-Fah Foo
摘要： The subject matter discussed herein relates to the automatic, real-time registration of pre-operative magnetic resonance imaging (MRI) data to intra-operative ultrasound (US) data (e.g., reconstructed images or unreconstructed data), such as to facilitate surgical guidance or other interventional procedures. In one such example, brain structures (or other suitable anatomic features or structures) are automatically segmented in pre-operative and intra-operative ultrasound data. Thereafter, anatomic structure (e.g., brain structure) guided registration is applied between pre-operative and intra-operative ultrasound data to account for non-linear deformation of the imaged anatomic structure. MR images that are pre-registered to pre-operative ultrasound images are then given the same nonlinear spatial transformation to align the MR images with intra-operative ultrasound images to provide surgical guidance.
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9.发明申请公开(公告)号：US20190132813A1
公开(公告)日：2019-05-02
申请号：US16172394
申请日：2018-10-26
IPC分类号： H04W56/00 , G01R33/422 , G01R33/32 , H04B17/364 , H04B17/391
摘要： A synchronization system based on wireless or limited cable interconnection is disclosed, which includes a central unit comprising a delay compensation module, and RF transmission channels. At least one channel comprises a clock controller and a synchronization controller. The central unit transmits a controlled clock signal and a controlled synchronization signal to the at least one channel, and receives a clock echo signal and a synchronization echo signal. The delay compensation module estimates a clock phase compensation based on the controlled clock signal transmitted and the clock echo signal received, and a synchronization delay compensation based on the controlled synchronization signal transmitted and the synchronization echo signal received. The clock controller and the synchronization controller adjusts respectively a clock signal and a synchronization signal received from the at least one channel based on the clock phase compensation and the synchronization delay compensation. MR systems and a synchronization method are also disclosed.
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公开(公告)号：US20180275227A1
公开(公告)日：2018-09-27
申请号：US15924579
申请日：2018-03-19
IPC分类号： G01R33/36 , G01R33/422
CPC分类号： G01R33/3614 , G01R33/3415 , G01R33/422 , G01R33/5659
摘要： An RF coil array for use in MRI is disclosed, which includes a plurality of transmit coil elements and a plurality of RF power amplifiers. Each RF power amplifier is integrated with at least one transmit coil element for driving the at least one transmit coil element. An MRI transmit array is also disclosed, which includes a plurality of RF transmitters for generating a plurality of RF signals, the RF coil array above-mentioned, and a DC voltage source for providing a DC voltage to the plurality of transmit coil elements. The RF coil array further includes an RF shield for shielding the plurality of transmit coil elements from interacting with magnet cryostat and gradient coil elements. The plurality of RF power amplifiers are connected with respective RF transmitters and configured for power amplification of the RF signals from the respective RF transmitters, and the plurality of transmit coil elements are configured for transmitting respective amplified RF signals.
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