Abstract: A gantry free nuclear imaging system (10) images a region of interest (ROI) (16). The system (10) includes one or more radiation detectors (20) generating radiation data indicating the location of gamma photon strikes. The system includes a reconfigurable frame (22) positioning the radiation detectors (20) at fixed viewing angles of the ROI (16) and at least one processor (44, 48). The processor (44, 48) receives the radiation data from the radiation detectors (20) and reconstructs an image of the ROI (16) from the received radiation data.

Abstract: An anatomical image data set and an emission image data set are acquired for a subject. An attenuation map is generated from the anatomical image data set. The emission image data set is reconstructed to generate an emission image. The reconstructing includes correcting for attenuation of emission radiation in the subject using the attenuation map. A value is calculated for a quality assurance (QA) metric quantifying alignment of the attenuation map with the emission image. The emission image is displayed or printed together with the calculated quality assurance metric. In some embodiments, prior to the reconstructing the attenuation map is registered with the emission image data set by performing a global rigid registration followed by a local non-rigid registration of a region of interest.

Abstract: A portable imaging system for imaging a region of interest (ROI) includes a housing (12), a radiation detector(16)mounted to the housing (12), the detector generating radiation data indicating a location of gamma photon strikes on the detector, a motion sensor (20) which senses motion of the detector and outputs motion data indicative of the location and orientation of the detector at the time of each gamma photon strike, and at least one processor (22, 26) programmed to receive the radiation data from the radiation detectors (16) and the motion data from the motion sensor (20) and reconstruct a 3D volume image of the ROI from the received radiation and motion data.

Abstract: A medical imaging system includes a data store (16) of re-construction procedures, a selector (24), a reconstructor (14), a fuser (28), and a display (22). The data store (16) of reconstruction procedures identifies a plurality of reconstruction procedures. The selector (24) selects at least two reconstruction procedures from the data store of reconstruction procedures based on a received input, each reconstruction procedure optimized for one or more image characteristics. The reconstructor (14) concurrently performs the selected at least two reconstruction procedures, each reconstruction procedure generates at least one image (26) from the at least one data store of imaging data (12). The fuser (28) fuses the at least two generated medical images to create a medical diagnostic image which includes characteristics from each generated image (26). The display (22) displays the medical diagnostic image.

Abstract: A whole body SPECT system (10) includes a patient support (14) and a static gantry (12) which includes a plurality of rings (40a,40b,40c) of radiation detectors (42). The patient support (14) supports a patient and moves the patient in an axial direction (18) through the static gantry (12). One or more processors (20,24,32) connected to the plurality of detectors records strikes of gamma photons in the radiation detectors (42) and reconstruct the recorded strikes of the gamma photons into a whole body image.

Abstract: A gantry free nuclear imaging system (10) images a region of interest (ROI) (16). The system (10) includes one or more radiation detectors (20) generating radiation data indicating the location of gamma photon strikes. The system includes a reconfigurable frame (22) positioning the radiation detectors (20) at fixed viewing angles of the ROI (16) and at least one processor (44, 48). The processor (44, 48) receives the radiation data from the radiation detectors (20) and reconstructs an image of the ROI (16) from the received radiation data.

Abstract: In Positron Emission Tomography, a time window (260) and an energy window (225) are dynamically adjusted, based on an attenuation map, count rate, clinical application, discrimination tailoring, and/or offline discrimination tailoring. Detected radiation events are filtered using the dynamically adjusted energy and time windows into scattered events, random events, and true events. The true events are input to image reconstruction, correction, and error analysis.

Abstract: An image reconstruction method comprises reconstructing an image using an iterative reconstruction method and computing a projection used in the reconstructing by summing ray increments between neighboring planes (P0, P1, P2, . . . ) parallel with a detector face (42) with stationary incremental blurring associated with each ray increment computed based on a distance between the neighboring parallel planes. A non-stationary blurring kernel may also be convolved at a plane closest to the detector face to generate a projection incorporating shift-variant blurring.

Abstract: A method and system for managing imaging data are provided. In one aspect, imaging data is stored in combination with user-generated information relating to the imaging data. In various other aspects, an image file header structure including user-generated information, a software editing tool to record user-generated information, and an imaging display tool to correlate imaging data and user-generated information are provided.

Abstract: An anatomical image data set and an emission image data set are acquired for a subject. An attenuation map is generated from the anatomical image data set. The emission image data set is reconstructed to generate an emission image. The reconstructing includes correcting for attenuation of emission radiation in the subject using the attenuation map. A value is calculated for a quality assurance (QA) metric quantifying alignment of the attenuation map with the emission image. The emission image is displayed or printed together with the calculated quality assurance metric. In some embodiments, prior to the reconstructing the attenuation map is registered with the emission image data set by performing a global rigid registration followed by a local non-rigid registration of a region of interest.

Abstract: Medical images are collected in a plurality of cardiac and respiratory phases. The images are transformed into a series of respiratory compensated images with the plurality of cardiac phases, but all at a common respiration phase. The series of respiratory compensated images are transformed into one image at a selected cardiac phase and the common respiration phase. In some embodiments, a database of gated transform matrices is generated. The database may be based on specific patient information or on information generated from a pool of patients. The database may account for respiratory motion, cardiac contractile motion, other physiological motion, or combinations thereof. For a current image to be motion corrected, the transformation matrices collected in the database are used to estimate a current set of transformation matrices accounting for the motion in the current image, and a motion-compensated image is generated based on the current set of transform matrices.

Abstract: When imaging a compact structure, such as a calcium deposit in a patient's heart, a slow scan (e.g., less than approximately 6 rpm) CT data acquisition is performed, wherein data is continuously but sparsely acquired during around a 360° revolution around the patient. Arc segments are defined that equate to one heart cycle (e.g., heartbeat) given the patient's heart rate and the speed of the CT gantry. Electrocardiogram signal data is used to identify sets of acquired projection data that correspond to each of a plurality of heart cycle phases during which the heart is relatively still. A sparse reconstruction algorithm is executed on the identified sets of sparse projection data to generate images for each heart cycle phase from the scan data acquired for that phase across all heart cycles.

Abstract: An imaging system (10) comprises at least one radiation detector (20) disposed adjacent a subject receiving aperture (18) to detect radiation from a subject, receive the radiation and generate measured data. An image processor (38) iteratively reconstructs the detected radiation into image representations, in each reconstruction iteration the image processor (38) applies noise reduction algorithms to at least a difference between the measured data and a portion of a previous iteration image representation.

Abstract: An image reconstruction method comprises reconstructing an image using an iterative reconstruction method and computing a projection used in the reconstructing by summing ray increments between neighboring planes (P0, P1, P2, . . . ) parallel with a detector face (42) with stationary incremental blurring associated with each ray increment computed based on a distance between the neighboring parallel planes. A non-stationary blurring kernel may also be convolved at a plane closest to the detector face to generate a projection incorporating shift-variant blurring.

Abstract: A system for generating registered diagnostic images (58, 62), such as nuclear and magnetic resonance (MR) images, of a subject includes a nuclear imaging device (10) for generating emission diagnostic images (58) and optionally also intermediate transmission or emission images (56). A second imaging device (12), such as an MR imaging device generates magnetic resonance diagnostic images (62) and optionally also intermediate images which are more readily registered with images from the nuclear imaging device than the diagnostic MR images. Processing for the images includes a preprocessing portion (64) for generating a transform for aligning common anatomical structures in images (56, 58, 60, 62) generated by the nuclear imaging device and the MR imaging device and a diagnostic image registration portion for applying the transform to bring the emission and magnetic resonance diagnostic images into registration (58, 62).

Abstract: A method and apparatus of image reconstruction attenuation correction in PET or SPECT cardiac imaging is provided. A volumetric attenuation imaging scan by an X-ray source may be used to generate a gamma ray attenuation map. The volumetric attenuation imaging scan may be randomized, and may be performed while the imaged subject is breathing.

Abstract: A physiological parameter monitor (44) monitors a cyclic physiological parameter and generates a cyclic parameter phase indicative signal. A radiation system (8) is disposed adjacent an examination region (18, 28) to generate transmission radiation data and emission radiation data. First and second sorting devices (48, 74) sort corresponding transmission and emission radiation data into transmission radiation data sets (50) and emission radiation data sets (78) corresponding to each of a plurality of the cyclic parameter phases. A data processor (60) reconstructs attenuation maps (62) from the transmission data for each of the plurality of cyclic parameter phases. An image processor (80) corrects the emission radiation data of each cyclic parameter phase with the attenuation map (62) of the same cyclic parameter phase and reconstructs the attenuation corrected emission data sets into an image representation for each cyclic parameter phase.

Abstract: In an imaging method, estimated data is iteratively projected and backprojected. The iterative projecting and backprojecting includes projecting or backprojecting the estimated data along parallel paths each employing energy-dependent parameters appropriate for a different energy. During each iteration, the estimated data is adjusted based on comparison of the estimated data with measured data.

Abstract: A presentation component (118) presents information from one or more data source(s) (102) to an assessor for assessment. A receiver operating characteristic (ROC) analyzer 120 uses an ROC analysis technique to evaluate the performance of the assessor. A feedback component (126) provides feedback as to the assessor's performance. A data manipulator (114) facilitates manipulation of the presented data.

Abstract: A medical imaging system (10) includes at least one radiation detection head (16) disposed adjacent a subject receiving aperture (18) to detect radiation from a subject. The detected radiation is reconstructed into at least one initial 2D projection image (?). Resolution in each initial 2D image (?) is restored by using the extended iterative constrained deconvolution algorithm by incorporating different estimates of the system response function which estimates correspond to different distances between the detection head and the origins of the detected radiation. Measured response functions are used to restore a series of images. The optimal image is determined by automatic searching with the figure of merit, by user's observation, or by using blind deconvolution for a concurrent estimating of the system response function and updating the original image.