Abstract: Systems and method for identifying bone marrow in medical images are provided. A method includes obtaining a three-dimensional (3D) computed tomography (CT) volume data set corresponding to an imaged volume and identifying voxels in the 3D CT volume data set having a Hounsfield Unit (HU) value below a bone threshold. The voxels are identified without using image continuity. The method further includes marking the identified voxels as non-bone voxels, determining definite tissue voxels based on the identified non-bone voxels and expanding a region defined by the definite tissue voxels. The method also includes segmenting the expanded region to identify bone voxels and bone marrow voxels and identifying bone marrow as voxels that are not the bone voxels.

Abstract: Methods and systems for locating a region of interest in an object are provided. One method includes acquiring planar nuclear medicine (NM) images of a subject from an NM system, wherein the planar NM images include at least one identified region of interest. The method also includes acquiring a three-dimensional (3D) x-ray Computed Tomography (CT) volume image of the subject from an x-ray CT system and locating the region of interest within the 3D CT volume image using the planar NM images.

Abstract: A method for motion correcting molecular breast imaging (MBI) images includes obtaining a plurality of two-dimensional (2D) images of a breast using a MBI system, selecting a reference image from the plurality of 2D images, selecting a feature of interest in the reference image, determining a location of the feature of interest in the reference image, calculating a correction value based on a difference in the location of the feature of interest in the reference image and a location of the feature of interest in a plurality of non-reference images, and aligning the non-reference 2D images with the reference image based on the calculated correction value.

Abstract: Methods and systems for locating a region of interest in an object are provided. One method includes acquiring planar nuclear medicine (NM) images of a subject from an NM system, wherein the planar NM images include at least one identified region of interest. The method also includes acquiring a three-dimensional (3D) x-ray Computed Tomography (CT) volume image of the subject from an x-ray CT system and locating the region of interest within the 3D CT volume image using the planar NM images.

Abstract: Methods and apparatus for automatically registering an anatomical image with a perfusion image is provided. The method includes acquiring an anatomical image of a heart using a first imaging modality, acquiring a physiological image of the heart using a different second imaging modality, identifying a myocardium of a left ventricle using the physiological image, automatically scoring a plurality of pixels in the anatomical image that are within a predetermined range of the myocardium identified in the physiological image, and registering the anatomical image with the physiological image based on the score.

Abstract: Systems and method for identifying bone marrow in medical images are provided. A method includes obtaining a three-dimensional (3D) computed tomography (CT) volume data set corresponding to an imaged volume and identifying voxels in the 3D CT volume data set having a Hounsfield Unit (HU) value below a bone threshold. The voxels are identified without using image continuity. The method further includes marking the identified voxels as non-bone voxels, determining definite tissue voxels based on the identified non-bone voxels and expanding a region defined by the definite tissue voxels. The method also includes segmenting the expanded region to identify bone voxels and bone marrow voxels and identifying bone marrow as voxels that are not the bone voxels.

Abstract: An apparatus and methods for synthesizing a planar image from a three-dimensional emission dataset. The method includes acquiring a three-dimensional (3D) emission dataset of an object of interest, acquiring a three-dimensional (3D) attenuation map of the object of interest, determining a line or response that extends from an emission point in the 3D emission dataset, through the 3D attenuation map, to a pixel to be reconstructed on a planar image, integrating along the line of response to generate an attenuation corrected value for the pixel, and reconstructing the planar image using the attenuation correction value.

Abstract: Methods and apparatus for automatically registering an anatomical image with a perfusion image is provided. The method includes acquiring an anatomical image of a heart using a first imaging modality, acquiring a physiological image of the heart using a different second imaging modality, identifying a myocardium of a left ventricle using the physiological image, automatically scoring a plurality of pixels in the anatomical image that are within a predetermined range of the myocardium identified in the physiological image, and registering the anatomical image with the physiological image based on the score.

Abstract: A method of using a frame of pixels of a specified characteristic such as a maximal intensity projected frame and a depth location “virtual” frame to locate and image ROI's in patients.