Abstract:
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.
Abstract:
A method and system for reconstructing an image in a time-of-flight (TOF) positron emission tomography (PET) system is provided. The method includes using a reconstructed image to determine predicted timing information. Timing bias data is updated based on received timing information associated with acquired scan data from a PET system and the predicted timing information. The method further includes reconstructing the image, based on the updated timing bias data.
Abstract:
Methods and systems for calibrating a positron emission tomography (PET) system are provided. The method includes determining at least one non-acquisition time period for the PET system. The method further includes automatically acquiring calibration data during the at least one non-acquisition time period.
Abstract:
A Nuclear Medicine (NM) imaging system and method using multiple types of imaging detectors are provided. One NM imaging system includes a gantry, at least a first imaging detector coupled to the gantry, wherein the first imaging detector is a non-moving detector, and at least a second imaging detector coupled to the gantry, wherein the second imaging detector is a moving detector. The first imaging detector is larger than the second imaging detector and the first and second imaging detectors have different detector configurations. The NM imaging system further includes a controller configured to control the operation of the first and second imaging detectors during an imaging scan of an object to acquire Single Photon Emission Computed Tomography (SPECT) image information such that at least the first imaging detector remains stationary with respect to the gantry during image acquisition.
Abstract:
A method and system for calibrating a time of flight (TOF) positron emission tomography (PET) scanner are provided. The method stores acquired scan data from detector pairs including data and timing information. The method further calculates an intensity distribution of emission sources based on the scan data and defines a timing pivot point based on a median of an intensity histogram. The method determines a timing correction for each detector based on the location of the timing pivot point. The positron emission tomography (PET) system further provides a plurality of detectors, used in performing imaging scans, and a processor. The processor is configured to determine a timing correction for each detector.
Abstract:
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.
Abstract:
A region of interest is automatically evaluated. The automatic evaluation is based on assessments of one or more characteristics. The one or more characteristics of the region of interest are assessed in a plurality of image data sets acquired by a respective plurality of imaging modalities. In some embodiments, the evaluation is based on assessments of one or more characteristics for each region of interest derived from a combination of structural and functional image data. In one embodiment, the set of structural image data is a set of CT image data and the set of functional image data is a set of PET image data. The one or more lesions may be detected in the structural and/or functional image data by automated routines or by a visual inspection by a clinician or other reviewer.
Abstract:
A method and system for calibrating a Time of Flight Positron Emission Tomography (TOF PET) system are provided. The method includes storing acquired scan data from detector pairs. The acquired scan data includes image data and timing information. The method further includes reconstructing images using scan data. The method also includes determining a timing correction for each detector based on intensity distribution histograms of emission sources. The system includes a controller, which is configured to perform the above-mentioned method steps.
Abstract:
Methods and systems for image overlap correction are provided. The method includes acquiring the emission projection data from a plurality of scan frames that extend across at least a portion of a length of an object being imaged wherein elements of the object lie between a region of overlap between two successive frames. The method further includes iteratively reconstructing a 3D image volume from multi-frame emission projection data by updating an estimate of 3D image volume using emission projection data from the plurality of frames within an iterative reconstruction loop.