Siemens Medical Solutions Usa, Inc.

Siemens Aktiengesellschaft

Siemens Healthcare Gmbh

Siemens Corporation

National Institutes of Health, a Component of the US Dept. of Health & Human Services

The Ohio State University

Cedars-sinai Medical Center

Northshore University Healthsystem

Sven Zuehlsdorff

Xiaoming Bi

Andreas Greiser

Marie-Pierre Jolly

Hui Xue

Christoph Guetter

Christopher Glielmi

Peter Weale

Saurabh Shah

Jens Guehring

Peter Schmitt

Jens Gühring

Arne Littmann

Ning Jin

Vijay Shah

Renate Jerecic

Bogdan Georgescu

David Grodzki

Yu Ding

Matthias J Schmand

Michael Zenge

Christophe Chefd'hotel

Robert R Edelman

Orlando P Simonetti

Xiaoguang Lu

Debiao Li

Lars Lauer

Shivraman Giri

Bruce S Spottiswoode

Peter Kellman

Ludovic Sibille

Rachid Fahmi

Qi Liu

Haris Saybasili

A system and method include identification of a blood pool region of the body based on the acquired positron emission tomography data, determination of activity in the blood pool region associated with a first time based on the acquired positron emission tomography data, determination of a scale factor based on the determined activity in the blood pool region and on an input function associated with one or more other human bodies, determination of activity in a tissue region associated with a second time based on the acquired positron emission tomography data, determination of a specific uptake ratio associated with the second time based on the activity in the tissue region, the scale factor and a value of the input function at the second time, determination of an estimate of metabolic rate in the tissue region based on the specific uptake ratio and the input function, and determination of a diagnosis associated with the tissue region based on the estimate of metabolic rate.

Determination of metabolic rate from static pet scan

Systems and methods of PET attenuation correction using low-field MR image data includes receiving a first set of image data and a set of low-field magnetic resonance (MR) image data. An attenuation correction map is generated from the low-field MR image data using a first trained neural network. At least one attenuation correction process is applied to the first set of image data based on the attenuation correction map to generate at least one clinical attenuation-corrected image.

Systems and methods for low field MR/PET imaging

A system and method include acquisition of positron emission tomography data of an object while a radiation source moves within the object, determination of a plurality of locations within the object, each of the plurality of locations associated with a respective time at which the radiation source was located at the location, determination of a respective time period associated with each of the plurality of locations, determination, for each of the determined time periods, of a frame of the positron emission tomography data associated with the determined time period, and, for each frame of the positron emission tomography data, generation of an image based on the frame and on the location associated with the time period associated with the frame.

Radiolabeled cell tracking and imaging

A method for configuring a neural network comprises: accessing a plurality of three-dimensional (3D) emission image data sets collected by an emission scanner from respective brains of respective subjects; transforming each of the plurality of 3D emission image data sets to a respective two-dimensional (2D) image; cropping portions of each respective 2D image to remove image data corresponding to tissue outside of a striatum of each of the respective brains, to form respective cropped 2D striatum images; and training a neural network to detect a presence of a Parkinsonian syndrome using the cropped 2D striatum images.

Neural network for neurodegenerative disease classification

A method of acquiring magnetic resonance imaging (MRI) data of a subject includes dividing a region of interest into a plurality of slices, and acquiring the slices using an iterative process that interleaves acquisition of shim data covering the plurality of slices with acquisition of image data covering the slices over a plurality of iterations.

Shimming method for magnetic resonance imaging

A method is provided for modified gradient timing in a Magnetic Resonance (MR) imaging system. The method includes generating radio frequency (RF) excitation pulses in a volume of patient anatomy to provide subsequent acquisition of associated RF echo data and generating a sequence of gradient waveforms on a static magnetic field in three directions each orthogonal to each other for slice selection, phase encoding and readout RF data acquisition in the volume of patient anatomy. The method also includes receiving, by a controller, an indication of the sequence of gradient waveforms to be applied to a plurality of gradient coils and modifying, via the controller, the sequence of gradient waveforms to be applied to the plurality of gradient coils based on one or more parameters to produce a sequence of modified gradient waveforms. The method further includes providing the sequence of modified gradient waveforms to the plurality of gradient coils.

Systems and methods for real time gradient timing modification

Magnetic resonance reconstruction includes motion compensation. Inverse-consistent non-rigid registration is used to determine motion between shots. The motion is incorporated into reconstruction. The incorporation compensates for the motion resulting from the period over which the MR data is acquired.

Motion compensated magnetic resonance reconstruction in real-time imaging

An MR imaging system uses multiple RF coils, for reducing image acquisition time, suitable for chemical exchange saturation transfer (CEST) imaging. Multiple RF (Radio Frequency) coils provide CEST imaging preparation in an anatomical volume by providing multiple interleaved RF pulses. The multiple interleaved RF pulses provide substantially increased RF pulse sequence duty cycle in the multiple RF coils relative to a duty cycle provided by a single coil of the multiple RF coils. The multiple RF coils subsequently provide RF excitation pulses in a reduced anatomical volume using k-space undersampling in an accelerated imaging method using the multiple RF coils and enable subsequent acquisition of associated RF echo data for deriving a CEST image.

MR parallel imaging system reducing imaging time

A system includes an image data processor for automatically processing data representing multiple patient anatomical images acquired in a single imaging scan. The images are acquired by, identifying multiple different anatomical elements in corresponding multiple different anatomical regions and identifying multiple different potentially pathology indicative features associated with the multiple different anatomical elements in response to first predetermined information associating different potentially pathology indicative features with corresponding different anatomical elements. The image data processor determines multiple different image acquisition methods for use in imaging the multiple different potentially pathology indicative features in response to second predetermined information associating different image acquisition methods with corresponding identified different pathology indicative features. An output processor collates images for output.

Automatic or semi-automatic whole body MR scanning system

An imaging system automatically determines a cardiac timing parameter for acquiring a cardiac image in a heart phase. An interface receives data identifying a heart image orientation for image acquisition. A repository of data associates, for acquisition of an image in a particular heart phase, different image orientations with corresponding different data items identifying respective corresponding particular acquisition points within an individual heart cycle relative to a start point of the heart cycle. An acquisition timing processor determines from the repository of data, a particular acquisition point within an individual heart cycle relative to the start point of the heart cycle, in response to the received data identifying the heart image orientation and uses the determined particular acquisition point to provide a synchronization signal for triggering acquisition of an image at the particular heart phase.

Automatic system for timing in imaging

A system automatically concurrently performs an MR image study acquisition and supplementary image data acquisition. The system includes a detector for providing a signal indicating individual portions of an imaging scan using a first imaging method have ceased. An image data processor automatically concurrently interleaves imaging of a first anatomical portion using the first imaging method and supplementary imaging of a second anatomical portion using a different second imaging method, in response to the signal. The image data processor incorporates identifier data in data representing images acquired using the second imaging method identifying images acquired using the second imaging method differently from images acquired using the first imaging method.

MR imaging system for automatically providing incidental findings

A method for performing motion compensation in a series of magnetic resonance (MR) images includes acquiring a set of MR image frames spanning different points along an MR recovery curve. A motion-free synthetic image is generated for each of the acquired MR image frames using prior knowledge pertaining to an MR recovery curve. Each of the acquired MR images is registered to its corresponding generated synthetic images. Motion within each of the acquired MR image is corrected based on its corresponding generated synthetic image that has been registered thereto.

Automatic registration of image series with varying contrast based on synthetic images derived from intensity behavior model

A method including receiving an image sequence, wherein the image sequence includes a plurality of two-dimensional (2D) image frames of an organ arranged in a time sequence; constructing a three-dimensional (3D) volume by stacking a plurality of the 2D image frames in time order; detecting a best bounding box for a target of interest in the 3D volume, wherein the best bounding box is specified by a plurality of parameters including spatial and temporal information contained in the 3D volume; and determining the target of interest from the best bounding box.

Detection of landmarks and key-frames in cardiac perfusion MRI using a joint spatial-temporal context model

A method and system for retrospective image combination for free-breathing magnetic resonance (MR) images is disclose. A free-breathing cardiac MR image acquisition including a plurality of frames is received. A key frame is selected of the plurality of frames. A deformation field for each frame to register each frame with the key frame. A weight is determined for each pixel in each frame based on the deformation field for each frame under a minimum total deformation constraint. A combination image is then generated as a weighted average of the frames using the weight determined for each pixel in each frame.

Method and system for retrospective image combination under minimal total deformation constrain for free-breathing cardiac magnetic resonance imaging with motion correction

A system for Non-Contrast Agent enhanced MR imaging includes an MR image acquisition device for acquiring imaging datasets comprising one or more image slabs individually comprising multiple image slices. An image data processor processes data representing an acquired image slice to detect a predetermined anatomical feature of a patient by detecting an edge of the anatomical feature in response to detection of pixel luminance transitions. A patient support table controller automatically moves a patient table at a velocity adaptively and dynamically determined by, selecting data modifying table velocity from predetermined information associating an anatomical feature with table velocity modification data in response to detection of the anatomical feature and adaptively determining a table velocity using the modification data.

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Chicago, IL, United States of America

Sven Zuehlsdorff