Abstract: A method and workstation for combining multiple functional imaging datasets into a joint-visualization image. In one aspect, a method of functional imaging includes accessing a plurality of functional imaging datasets acquired from a volume-of-interest, wherein each of the plurality of functional imaging datasets is a different one of a plurality of functional imaging data types. The method includes registering the plurality of functional imaging datasets and determining a visualization priority for each of a plurality of pixels in a joint-visualization image based on a logical comparison of corresponding information in each of the plurality of functional imaging datasets. The method includes generating the joint-visualization image based on the visualization priority and at least a portion of each of the plurality of functional imaging datasets, wherein each of a plurality of pixels in the joint-visualization image represents only a single one of the plurality of functional imaging data types.

Abstract: A computer-implemented method for determining a flow rate for a given vessel includes obtaining, via a processor, dynamic three-dimensional (3D) images of a subject utilizing nuclear medicine imaging. The method also includes obtaining, via the processor, injection parameters for a radiotracer bolus injected into the subject via an automated injector. The method further includes generating, via the processor, time activity curves (TACs) for the radiotracer bolus from the 3D images. The method even further includes estimating, via the processor, the flow rate for the given vessel based on a morphology of the one or more TACs and the injection parameters.

Abstract: A computer-implemented method for determining a flow rate for a given vessel includes obtaining, via a processor, dynamic three-dimensional (3D) images of a subject utilizing nuclear medicine imaging. The method also includes obtaining, via the processor, injection parameters for a radiotracer bolus injected into the subject via an automated injector. The method further includes generating, via the processor, time activity curves (TACs) for the radiotracer bolus from the 3D images. The method even further includes estimating, via the processor, the flow rate for the given vessel based on a morphology of the one or more TACs and the injection parameters.

Abstract: A method is provided for updating a uniformity map of a detector. The detector defines a detector surface area. The method includes positioning a flood on a sub-portion of the detector surface area of the detector. The flood defines a flood area that is smaller than the detector surface area. Also, the method includes collecting counts from the flood for the sub-portion of the detector surface area. Further, the method includes updating an adjustment portion of the uniformity map using the counts collected for the sub-portion of the detector surface area, wherein the adjustment portion corresponds to at least a part of the sub-portion of the detector surface area.

Abstract: A method is provided for updating a uniformity map of a detector. The detector defines a detector surface area. The method includes positioning a flood on a sub-portion of the detector surface area of the detector. The flood defines a flood area that is smaller than the detector surface area. Also, the method includes collecting counts from the flood for the sub-portion of the detector surface area. Further, the method includes updating an adjustment portion of the uniformity map using the counts collected for the sub-portion of the detector surface area, wherein the adjustment portion corresponds to at least a part of the sub-portion of the detector surface area.

Abstract: Methods and systems are provided for a medical imaging system having a detector array. In one example, the detector array may include a plurality of adjustable imaging detectors, each of the plurality of adjustable imaging detectors including a first detector unit or a second detector unit, each first detector unit having a plurality of rows of detector modules and each second detector unit having at least one row of detector modules, wherein each second detector unit may have fewer rows of detector modules than each first detector unit, the plurality of adjustable imaging detectors may be arranged on an annular gantry, the annular gantry configured for rotation about an axis of a cylindrical aperture of the annular gantry, the axis extending a length of the cylindrical aperture, and each of the plurality of adjustable imaging detectors may be disposed within the cylindrical aperture and may extend orthogonally toward the axis.

Abstract: Methods and systems are provided for calibrating a nuclear medicine imaging system having more than 5 detector heads. In one embodiment, a method includes obtaining residual center of gravity determinations corresponding to each of a plurality of detector units based on point source projections acquired over a series of detector unit rotational steps, obtaining center of gravity determinations for each of the plurality of detector units based on point source projections acquired over a series of detector unit sweep angles, obtaining a fit of the center of gravity determinations for each of the plurality of detector units, and determining a sweep offset for each of the plurality of detector units based on the residual center of gravity determinations and the fit of the center of gravity determinations for each of the plurality of detector units. In this way, a sweep axis zero degree position for each of the plurality of detector units is determined.

Abstract: Methods and systems are provided for calibrating a nuclear medicine imaging system having more than 5 detector heads. In one embodiment, a method includes obtaining residual center of gravity determinations corresponding to each of a plurality of detector units based on point source projections acquired over a series of detector unit rotational steps, obtaining center of gravity determinations for each of the plurality of detector units based on point source projections acquired over a series of detector unit sweep angles, obtaining a fit of the center of gravity determinations for each of the plurality of detector units, and determining a sweep offset for each of the plurality of detector units based on the residual center of gravity determinations and the fit of the center of gravity determinations for each of the plurality of detector units. In this way, a sweep axis zero degree position for each of the plurality of detector units is determined.

Abstract: Methods and systems are provided for a medical imaging system having a detector array. In one example, the detector array may include a plurality of adjustable imaging detectors, each of the plurality of adjustable imaging detectors including a first detector unit or a second detector unit, each first detector unit having a plurality of rows of detector modules and each second detector unit having at least one row of detector modules, wherein each second detector unit may have fewer rows of detector modules than each first detector unit, the plurality of adjustable imaging detectors may be arranged on an annular gantry, the annular gantry configured for rotation about an axis of a cylindrical aperture of the annular gantry, the axis extending a length of the cylindrical aperture, and each of the plurality of adjustable imaging detectors may be disposed within the cylindrical aperture and may extend orthogonally toward the axis.

Abstract: Methods and systems are provided for molecular breast imaging. In one embodiment, a method for nuclear medicine imaging comprises: during an acquisition of emission data from an anatomy of interest, calculating an average counts per pixel in non-target tissue; and responsive to the average counts per pixel reaching a threshold, automatically stopping the acquisition. In this way, an amount of time spent by a patient undergoing an MBI procedure is optimized for the patient.

Abstract: Systems and methods described herein generally relate to improved medical diagnostics for nuclear medicine (NM) imaging. The systems and methods define an uncertainty model of a medical imaging system. The uncertainty model is based on natural-statistics distribution of the medical imaging system response. The systems and methods acquire image data of a patient from the medical imaging system, and calculate an uncertainty map of the patient based on the uncertainty model and the image data. The uncertainty map represents a collection of realizations that are generated based on the image data and the uncertainty model. The systems and methods apply a classification or ranking algorithm to the image data and the uncertainty map to calculate image data classification or ranking of the patient including confidence values.

Abstract: A method and apparatus for defining a volume of interest in a physiological image based upon an anatomical image. The method and system acquires an anatomical image of a volume of interest using a first imaging modality. A physiological image is acquired using a second imaging modality different from the first imaging modality. An outline of the volume of interest is defined on the anatomical image and applied to the physiological image to define the volume of interest m the physiological image. Based upon the outline, the system and method assigns binary values to voxels within the outline to more accurately define the volume of interest.

Abstract: Systems and methods described herein generally relate to improved medical diagnostics for nuclear medicine (NM) imaging. The systems and methods define an uncertainty model of a medical imaging system. The uncertainty model is based on natural-statistics distribution of the medical imaging system response. The systems and methods acquire image data of a patient from the medical imaging system, and calculate an uncertainty map of the patient based on the uncertainty model and the image data. The uncertainty map represents a collection of realizations that are generated based on the image data and the uncertainty model. The systems and methods apply a classification or ranking algorithm to the image data and the uncertainty map to calculate image data classification or ranking of the patient including confidence values.

Abstract: A customizable and upgradable 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 gantry can be partially populated with detector columns and the detector columns can be partially populated with detector elements.

Abstract: A customizable and upgradable 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 gantry can be partially populated with detector columns and the detector columns can be partially populated with detector elements.

Abstract: A customizable and upgradeable 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 gantry can be partially populated with detector columns and the detector columns can be partially populated with detector elements.

Abstract: An imaging system includes a rotating gantry, a bed, plural nuclear medicine (NM) imaging detectors, and a processing unit. The rotating gantry has a bore. The NM detectors are disposed about the bore of the gantry. The NM detectors each have an in-plane field of view, and are configured to pivot about a corresponding axis with respect to the gantry to change the in-plane field of view. The processing unit is configured to acquire first NM imaging information at a first gantry rotational position, with the in-plane fields of view of the NM imaging detectors parallel to a predetermined direction; actuate the gantry to rotate to a second gantry rotational position; actuate the NM imaging detectors to pivot such that the in-plane fields of view are parallel to the predetermined direction; acquire additional NM imaging information at the second gantry rotational position; and reconstruct a planar image of the object.

Abstract: An imaging system includes a rotating gantry, a bed, plural nuclear medicine (NM) imaging detectors, and a processing unit. The rotating gantry has a bore. The NM detectors are disposed about the bore of the gantry. The NM detectors each have an in-plane field of view, and are configured to pivot about a corresponding axis with respect to the gantry to change the in-plane field of view. The processing unit is configured to acquire first NM imaging information at a first gantry rotational position, with the in-plane fields of view of the NM imaging detectors parallel to a predetermined direction; actuate the gantry to rotate to a second gantry rotational position; actuate the NM imaging detectors to pivot such that the in-plane fields of view are parallel to the predetermined direction; acquire additional NM imaging information at the second gantry rotational position; and reconstruct a planar image of the object.

Abstract: Methods and systems are provided for molecular breast imaging. In one embodiment, a method for nuclear medicine imaging comprises: during an acquisition of emission data from an anatomy of interest, calculating an average counts per pixel in non-target tissue; and responsive to the average counts per pixel reaching a threshold, automatically stopping the acquisition. In this way, an amount of time spent by a patient undergoing an MBI procedure is optimized for the patient.

Abstract: An imaging system is provided including a gantry, a bed, nuclear medicine (NM) imaging detectors, and a processing unit. The NM imaging detectors are disposed about the bore of the gantry. The processing unit is operably coupled to the imaging detectors, and is configured to acquire first NM imaging information of the object with the imaging detectors in a first axial position, iteratively actuate the gantry in a series of steps between the first axial position and the second axial position, acquire additional NM imaging information of the object at each of the steps, and reconstruct an image of the object using the first NM imaging information and the additional NM imaging information.