Siemens Medical Solutions Usa, Inc.

Other

Frank Kehren

Vladimir Y Panin

Michael E Casey

Jicun Hu

William Curtis Howe

Girish Bal

Christian J Michel

Bernard Bendriem

Vijay Shah

Anne M Smith

Matthew Baker

Matthias Fenchel

Inki Hong

Johan Nuyts

Matthew Restivo

Systems and methods to partially-gate PET data include acquisition of first data describing a plurality of coincidences detected during a scan of an object, each of the plurality of coincidences associated with a coincidence time and a line of response, acquisition of a motion signal associated with motion of the object during the scan, determination of lines of response which are associated with a region of the object, determination of time periods of region motion based on the motion signal, modification of the first data to remove coincidences which are associated with the determined lines of response and which are associated with a coincidence time during a time period of region motion, reconstruction of an image of the object based on the modified first data, and display of the image.

Partially-gated PET imaging

A method of minimizing a patient's exposure to CT scan radiation during the mu-map generation process in a long axial field of view (FOV) PET scan includes performing a long axial FOV PET scan on a patient; performing one or multiple truncated FOV CT scan of a region in the patient's body in which the organs of interest lies; generating a truncated mu-map covering the truncated CT FOV; and generating a mu-map for the whole long axial FOV of the PET scan by extending the truncated mu-map generated from the truncated FOV CT scan by estimating the missing mu-map data using the PET data.

Pet imaging using multiple organ specific short CT scans

A method of conducting a multi-pass dynamic positron emission tomography (PET) scans using continuous bed motion (CBM) mode is disclosed where the method involves acquiring PET sinogram data using CBM mode as the patient bed is moving in a first direction; acquiring PET sonogram data using CBM mode as the patient bed is moving in a second direction that is opposite from the first direction; and reconstructing 3-D PET image from the acquired PET sonogram data.

System and method for whole body continuous bed motion PET scanning with bi-directional data acquisition modes

A method of processing and reconstructing dynamic positron emission tomography (PET) sinogram data comprises: acquiring PET sinogram data using continuous bed motion having a varying velocity; recording a plurality of position-time coordinate pairs while acquiring the PET sinogram data; determining respective acquisition times of each of a plurality of slices of the image, based on the plurality of position-time coordinates; and reconstructing respective parametric images for each respective slice in the plurality of slices.

System and method for whole body continuous bed motion parametric pet with flexible scan modes

A set of first modality data (e.g., MR or CT) is provided. The set of first modality data comprises a plurality of mu-maps, a plurality of motion vectors and a plurality of gated data. Each of the mu-maps corresponds to one of the beds. A set of second modality data (e.g., PET/SPECT) is provided. The set of second modality data comprises a plurality of frames for each of the beds. Each of the plurality of frames is warped by one or more motion vectors of the plurality of motion vectors. A single-bed image is generated for each bed by summing the frames corresponding to the bed. A whole body image is generated by summing the single-bed images for each of the beds.

Multi-bed elastic motion correction

Methods and systems for processing data for medical imaging are disclosed. The method includes obtaining a set of continuous bed motion (CBM) data from a first imaging modality. The set of CBM data includes a plurality of gating signals. A CBM normalization matrix is calculated. The CBM normalization matrix calculation includes the plurality of gating signals. An image is reconstructed from the CBM data and the CBM normalization matrix. The first imaging modality can be a PET imaging device.

Method to compensate gating effects on image uniformity and quantification for PET scan with continuous bed motion

The DCC (Data Consistency Condition) algorithm is used in combination with MLAA (Maximum Likelihood reconstruction of Attenuation and Activity) to generate extended attenuation correction maps for nuclear medicine imaging studies. MLAA and DCC are complementary algorithms that can be used to determine the accuracy of the mu-map based on PET data. MLAA helps to estimate the mu-values based on the biodistribution of the tracer while DCC checks if the consistency conditions are met for a given mu-map. These methods are combined to get a better estimation of the mu-values. In gated MR/PET cardiac studies, the PET data is framed into multiple gates and a series of MR based mu-maps corresponding to each gate is generated. The PET data from all gates is combined. Once the extended mu-map is generated the central region is replaced with the MR based mu-map corresponding to that particular gate. On the other hand, in dynamic PET studies the uptake in the patient's arms reaches a steady state only after the tracer distributes throughout the body. Hence, for dynamic scans, the projection data of all frames is summed and used to generate the MLAA based extended mu-map for all frames.

Generating attenuation correction maps for combined modality imaging studies and improving generated attenuation correction maps using MLAA and DCC algorithms

A method and system for reconstructing PET image data from a cylindrical PET scanner by incorporation of axial system response. The method includes the steps of: assuming the decomposition of axial components into individual line-of-response (LOR) contributions, approximating each LOR spreading in image space as depth-independent, implementing each LOR response, combining the LORs to produce large span projection data, implementing the back projector as a transposed matrix, and assembling the LOR projections and spans for each azimuthal angle.

Incorporation of axial system response in iterative reconstruction from axially compressed data of cylindrical scanner using on-the-fly computing

A method for interpolating at least one oblique line of response ray representing nuclear image projection data through a rectangular volume and a system for using the method. The method consists of steps of interpolating all the direct rays in a rectangular volume, making a projected ray by projecting the oblique ray onto a surface of the rectangular volume, matching the projected ray to a coinciding interpolated direct ray, shearing the rectangular volume to match the projected ray, and interpolating the oblique ray in the sheared volume.

Growing community of inventors

Knoxville, TN, United States of America

Frank Kehren