General Electric Company

Hammersmith Imanet Limited

Ravindra Mohan Manjeshwar

Charles William Stearns

Evren Asma

Alexander Ganin

Floribertus Philippus Martinus Heukensfeldt Jansen

Sangtae Ahn

Steven Gerard Ross

Kris Filip Johan Jules Thielemans

Floribertus P M Heukensfeldt Jansen

Scott David Wollenweber

Dattesh Dayanand Shanbhag

James Vradenburg Miller

Sergei Ivanovich Dolinsky

Thomas Baby Sebastian

Yaron Hefetz

Christopher Judson Hardy

David Leo McDaniel

Thomas Kwok-Fah Foo

Florian Wiesinger

Ricardo Scott Avila

John Jay Williams

Sheshadri Thiruvenkadam

Avi Bar-Shalev

James William Hugg

Floribertus Heukensfeldt Jansen

Hua Qian

Yiping Shao

Harvey E Cline

John Eric Tkaczyk

Brian David Yanoff

Jianjun Guo

Rakesh Mullick

Yanfeng Du

Krishna Seetharam Shriram

Gideon Berlad

Hariharan Ravishankar

Geng Fu

Timothy Wayne Deller

Lana Volokh

Ajit Shankaranarayanan

Sandeep Suryanarayana Kaushik

Jorge Uribe

Dinko Eduardo Gonzalez Trotter

David Erik Chevalier

Albert Henry Roger Lonn

Srikrishnan Viswanathan

Anne Menini

Kristen Ann Wangerin

Girishankar Gopalakrishnan

Floribertus Pm Heukensfeldt Jansen

Ashwin Ashok Wagadarikar

Michel Souheil Tohme

Anja Brau

Girish Bal

Kris Thielemans

Osnat Zak

Qian Hua

Kris Flip Johan Jules Thielemans

Dinko Gonzalez Trotter

Harvey Ellis Cline

According to one embodiment, a method of image analysis is provided. The method includes binning image data into a plurality of sinogram frames, identifying a plurality of initial stationary frames by applying a first analysis technique on the plurality of binned sinogram frames, extracting a plurality of first statistical parameters applying a second analysis technique on the plurality of binned sinogram frames, combining the plurality of first statistical parameters with boundaries of plurality of initial stationary frames to generate a presentation of a joint analysis combining at least some of the plurality of the first statistical parameters and at least some of the plurality of the second statistical parameter, identifying a plurality of final stationary frames from the presentation of the joint analysis, independently reconstructing each of the plurality of final stationary frames, and registering each of the plurality of final stationary frames to a first state.

System and method of data analysis for detecting gross head motion from pet images

A method includes receiving Emission Tomography (ET) data of a subject from an ET/Computed Tomography (CT) scanner. The method further includes generating a first motion signal corresponding to a first bed position of the ET/CT scanner from the received ET data and determining whether the first motion signal indicates a periodic motion. The method also includes calculating a first time period from the first motion signal in response to determining that the first motion signal indicates the periodic motion and sending a first acquire notification to the ET/CT scanner to acquire Cinematographic (CINE) Computed Tomography (CT) data from the first bed position based on the first time period.

Systems and methods for emission tomography/computed tomography data acquisition

Embodiments of a solid state photomultiplier are provided herein. In some embodiments, a solid state photomultiplier may include a plurality of pixels, wherein each pixel of the plurality of pixels comprises a plurality of subpixels; and a first set of buffer amplifiers, wherein each buffer amplifier of the first set of buffer amplifiers is respectively coupled to a subpixel of the plurality of subpixels.

Solid state photomultiplier with improved pulse shape readout

Systems and method for identifying bone marrow in medical images are provided. A method includes obtaining a three-dimensional (3D) computed tomography (CT) volume data set corresponding to an imaged volume and identifying voxels in the 3D CT volume data set having a Hounsfield Unit (HU) value below a bone threshold. The voxels are identified without using image continuity. The method further includes marking the identified voxels as non-bone voxels, determining definite tissue voxels based on the identified non-bone voxels and expanding a region defined by the definite tissue voxels. The method also includes segmenting the expanded region to identify bone voxels and bone marrow voxels and identifying bone marrow as voxels that are not the bone voxels.

Systems and methods for identifying bone marrow in medical images

A method includes acquiring scan data for an object to be imaged using an imaging scanner. The method also includes reconstructing a display image using the scan data. Further, the method includes determining one or more aspects of a quantitation imaging algorithm for generating a quantitation image, wherein the one or more aspects of the quantitation imaging algorithm are selected to optimize a quantitation figure of merit for lesion quantitation. The method also includes reconstructing a quantitation image using the scan data and the quantitation imaging algorithm; displaying, on a display device, the display image; determining a region of interest in the display image; determining, for the region of interest, a lesion quantitation value using a corresponding region of interest of the quantitation image; and displaying, on the display device, the lesion quantitation value.

Systems and methods for emission tomography quantitation

A computer-implemented method for penalized-likelihood reconstruction of a Positron Emission Tomography (PET) image includes generating a regularization function in which a smoothing parameter is modulated by one or more data-independent spatially variable modulation factors to compensate for sensitivity variations in a PET voxel dataset, and reconstructing the PET image from the PET emission dataset using the regularization function.

Systems and methods for PET penalized-likelihood image reconstruction with spatially varying smoothing parameters

Imaging system and method are presented. Emission scan (ES) and anatomical scan (AS) data corresponding to a target volume in a subject are received. One or more at least partial AS images are reconstructed using AS data. An image-space certainty (IC) map representing a confidence level (CL) for attenuation coefficients of selected voxels in AS images and a preliminary attenuation (PA) map based on AS images are generated. One or more of selected attenuation factors (AF) in projection-space are initialized based on PA map. A projection-space certainty (PC) map representing CL for the selected AF is generated based on IC map. An emission image of the target volume is initialized. The selected AF and emission image are iteratively updated based on the ES data, PC map, initial AF, and/or initial emission image. A desired emission image and/or AF values are determined based on the iteratively updated AF and/or emission image.

System and method for joint estimation of attenuation and activity information

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.

System and method for data driven gating of multiple bed positions

Exemplary embodiments of the present disclosure are directed to scheduling positron emission tomography (PET) scans for a combined PET-MRI scanner based on an acquisition of MR scout images of a subject. An anatomy and orientation of the subject can be determined based on the MR scout images and the schedule for acquiring PET scans of the subject can be determined from the anatomy of the subject. The schedule generated using exemplary embodiments of the present disclosure can specify a sequence of bed positions, scan durations at each bed position, and whether respiratory gating will be used at one or more of the bed positions.

PET acquisition scheduling based on MR scout images

A computer-implemented method for partial volume correction in Positron Emission Tomography (PET) image reconstruction includes receiving emission data related to an activity distribution, reconstructing the activity distribution from the emission data by maximizing a penalized-likelihood objective function to produce a reconstructed PET image, quantifying an activity concentration in a region of interest of the reconstructed PET image to produce an uncorrected quantitation, and correcting the uncorrected quantitation based on a pre-calculated contrast recovery coefficient value to account for a partial volume error in the uncorrected quantitation.

Systems and methods for partial volume correction in PET penalized-likelihood image reconstruction

According to some embodiments, an emission tomography scanner may acquire emission scan data. One or more anatomical images may be generated using an anatomical imaging system, and the anatomical images may be processed to obtain an initial attenuation image. An emission image and a corrected attenuation image may be jointly reconstructed from the acquired emission scan data, the corrected attenuation image representing a deformation of the initial attenuation image. A final reconstructed emission image may then be calculated based on the reconstructed emission image and/or the corrected attenuation image. The final reconstructed emission image may then be stored in a data storage system and/or displayed on a display system.

System and method reconstructing a nuclear medicine image using deformed attenuation image

Exemplary embodiments of the present disclosure are directed to correcting lung density variations in positron emission tomography (PET) images of a subject using a magnetic resonance (MR) image. A pulmonary vasculature and an outer extent of a lung cavity can be identified in a MR image corresponding to a thoracic region of the subject in response to an intensity associated with pixels in the MR image. The pixels within the outer extent of the lung cavity are classified as corresponding to the pulmonary vasculature or the lung tissue. Exemplary embodiments of the present disclosure can apply attenuation coefficients to a reconstruction of the PET image based on the classification of the pixels within the outer extent of the lung cavity.

Method and system for correction of lung density variation in positron emission tomography using magnetic resonance imaging

Embodiments of methods, systems and non-transitory computer readable media for tomographic imaging are presented. 3D TOF projection data is processed to generate corresponding data in a designated format that allows for computationally cheaper image reconstruction than the 3D TOF projection data. Further, one or more preliminary images are reconstructed from the processed data using a particular image reconstruction technique for one or more iterations. To that end, one or more imaging parameters are iteratively varied every one or more iterations. The imaging parameters, for example, include the designated format, the image reconstruction technique and one or more image quality characteristics. One or more intermediate images are reconstructed from the one or more preliminary images using the iteratively varying imaging parameters. Further, 3D TOF images having the one or more designated image quality characteristics are generated using the one or more intermediate images and the iteratively varying imaging parameters.

Methods and systems for enhanced tomographic imaging

Systems and methods for attenuation compensation in nuclear medicine imaging based on emission data are provided. One method includes acquiring emission data at a plurality of energy windows for a person having administered thereto a radiopharmaceutical comprising at least one radioactive isotope. The method also includes performing a preliminary reconstruction of the acquired emission data to create one or more preliminary images of a peak energy window and a scatter energy window and determining a body outline of the person from at least one of the reconstructed preliminary image of the peak energy window or of the scatter energy window. The method further includes identifying a heart contour and segmenting at least the left lung. The method additionally includes defining an attenuation map based on the body outline and segmented left lung and reconstructing an image of a region of interest of the person using an iterative joint estimation reconstruction.

Systems and methods for attenuation compensation in nuclear medicine imaging based on emission data

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Glenville, NY, United States of America

Ravindra Mohan Manjeshwar