A61B6/037

MEDICAL IMAGE PROCESSING DEVICE, COMPUTER PROGRAM, AND NUCLEAR MEDICINE DEVICE

An image is reconstituted by iterative approximation, a PET event updated image is produced by updating a current image using a PET event, a Compton event updated image is produced by updating the current image using a Compton event, the PET event updated image and the Compton event updated image that have been independently produced are weighted and added together, and the current image is updated using an image obtained by addition processing. In this way, PET events and Compton events, which have different properties, can be used in combination to efficiently and stably reconstitute images, improving image quality.

Attenuation correction-based weighting for tomographic inconsistency detection

A system and method includes determination of a region of interest of an imaging subject, generation of a first linear attenuation coefficient map of the imaging subject, the first linear attenuation coefficient map generated to associate voxels of the region of interest of the imaging subject with greater linear attenuation coefficients than voxels of other regions of the imaging subject, attenuation-correction of a plurality of tomographic frames of the imaging subject based on the first linear attenuation coefficient map to generate a second plurality of tomographic frames, and determination of tomographic inconsistency of the second plurality of tomographic frames. Some aspects further include generation of a second linear attenuation coefficient map of the imaging subject, attenuation-correction of the plurality of tomographic frames based on the second linear attenuation coefficient map to generate a third plurality of tomographic frames, and reconstruction of a three-dimensional image based on the third plurality of tomographic frames and the determined tomographic inconsistency.

COMPUTER TOMOGRAPHY APPARATUS
20230218256 · 2023-07-13 · ·

An imaging apparatus for use with an imaging device in order to image a subject. The imaging device includes an annular gantry having an opening and a table to accommodate the subject or a portion thereof for imaging. The imaging apparatus includes a platform and a positioning device. The imaging device is mounted to the platform. The annular gantry is in a fixed position relative to the platform. The table is horizontally displaceable relative to the annular gantry. The positioning device supports the platform and is configured to horizontally displace the platform relative to a supporting surface for the subject. The positioning device is configured to position the platform with the imaging device in at least one operational state in such a way that, during a relative movement of the table with respect to the annular gantry, the table remains stationary relative to the supporting surface.

Apparatus for radiopharmaceutical quantification of a body part

An apparatus for radiopharmaceutical quantification of a body part includes a processor configured to receive at least one gamma image of a body part acquired by at least one gamma camera configured to detect gamma and/or X-rays. The at least one gamma image comprises spectral energy data that includes data resulting from decay of at least one radiopharmaceutical. The processor is configured to determine an activity of the at least one radiopharmaceutical at a plurality of spatial positions in the body part and determines a spatial distribution of the at least one radiopharmaceutical in the body part. The determination for a spatial position of the plurality of spatial positions comprises correlating a generated synthetic spectrum to an experimental spectrum generated from the spectral energy data for at least one position in the at least one gamma image that corresponds to that spatial position.

SYSTEMS AND METHODS FOR CORRECTING MISMATCH INDUCED BY RESPIRATORY MOTION IN POSITRON EMISSION TOMOGRAPHY IMAGE RECONSTRUCTION

The disclosure relates to PET imaging systems and methods. The systems may obtain a plurality of PET images of a subject and a CT image acquired by performing a spiral CT scan on the subject. Each gated PET image may include a plurality of sub-gated PET images. The CT image may include a plurality of sub-CT images each of which corresponds to one of the plurality of sub-gated PET images. The systems may determine a target motion vector field between a target physiological phase and a physiological phase of the CT image based on the plurality of sub-gated PET images and the plurality of sub-CT images. The systems may reconstruct an attenuation corrected PET image corresponding to the target physiological phase based on the target motion vector field, the CT image, and PET data used for the plurality of gated PET images reconstruction.

Signal Processing System, Positron Emission Tomography Device, and Positron Emission Tomography Method

The signal processing system generates image data, based on an electric signal group output from a radiation detector, and recognizes the electric signal group as a processing target, and the electric signal group includes at least part of an electric signal group meeting the following requirements: the electric signal group is an electric signal group with a signal value within a predetermined range, the electric signal group corresponding to a gamma ray with energy equal to or less than 375 keV; the predetermined range is equal to or greater than 50% and equal to or less than 80% relative to a 100% signal value; and the 100% signal value is a signal value detected when a gamma ray with energy of 511 keV enters a radiation detection element in the radiation detector and is totally absorbed by the radiation detection element.

LIGHTING ARRANGEMENT FOR A MEDICAL IMAGING SYSTEM

A lighting arrangement for a medical imaging system having a cylindrical wall that forms a tunnel that receives a patient to be scanned. The lighting arrangement includes a transparent wall section formed in the wall, wherein the transparent wall section extends along a transparent portion of a wall circumference. The imaging system also includes a lighting device located adjacent an outer surface of the transparent wall section. The lighting device extends along a device portion of a wall circumference corresponding to the transparent portion wherein light emitted by the lighting device is transmitted through the transparent wall section in a direction orthogonal to a longitudinal axis of the tunnel to circumferentially illuminate the tunnel. In addition, a system status is indicated by a color of light emitted by the LEDs. Further, light emitted by the lighting device varies in intensity to indicate a changing count rate.

IMAGING OF MYELOMA BONE LESIONS
20230218255 · 2023-07-13 · ·

The present disclosure relates to methods of administering [.sup.18F]-FACBC for imaging, diagnosing, and/or monitoring of myeloma bone lesions.

System and method for subject shape estimation

A medical imaging system is provided. Imaging detector columns are installed in a gantry to receive imaging information about a subject. Imaging detector columns can extend and retract radially as well as be rotated orbitally around the gantry. The system can automatically adjust setup configuration and an imaging operation based on subject shape estimation information.

Systems and methods for the segmentation of multi-modal image data

There is provided a computer implemented method of automatic segmentation of three dimensional (3D) anatomical region of interest(s) (ROI) that includes predefined anatomical structure(s) of a target individual, comprising: receiving 3D images of a target individual, each including the predefined anatomical structure(s), each 3D image is based on a different respective imaging modality. In one implementation, each respective 3D image is inputted into a respective processing component of a multi-modal neural network, wherein each processing component independently computes a respective intermediate, and the intermediate outputs are inputted into a common last convolutional layer(s) for computing the indication of segmented 3D ROI(s). In another implementation, each respective 3D image is inputted into a respective encoding-contracting component a multi-modal neural network, wherein each encoding-contracting component independently computes a respective intermediate output. The intermediate outputs are inputted into a single common decoding-expanding component for computing the indication of segmented 3D ROI(s).