Abstract: Method of generating a multi-modality anatomical atlas. The method includes receiving first and second medical images of a region-of-interest (ROI) of a same individual. The first and second medical images are acquired by different first and second imaging modalities. The method includes generating first and second feature images based on the first and second medical images. The first and second feature images include a same designated anatomical feature of the ROI. The method includes determining a transformation function by registering the first and second feature images and applying the transformation function to the first and second medical images to register the medical images. The method includes generating a multi-modality anatomical atlas. The multi-modality atlas has the first and second medical images. The first and second medical images are first and second reference images. The multi-modality anatomical atlas includes an organ model that corresponds to an organ in the ROI.

Abstract: Method of generating a multi-modality anatomical atlas. The method includes receiving first and second medical images of a region-of-interest (ROI) of a same individual. The first and second medical images are acquired by different first and second imaging modalities. The method includes generating first and second feature images based on the first and second medical images. The first and second feature images include a same designated anatomical feature of the ROI. The method includes determining a transformation function by registering the first and second feature images and applying the transformation function to the first and second medical images to register the medical images. The method includes generating a multi-modality anatomical atlas. The multi-modality atlas has the first and second medical images. The first and second medical images are first and second reference images. The multi-modality anatomical atlas includes an organ model that corresponds to an organ in the ROI.

Abstract: A method that includes receiving an input image of a region of interest (ROI) of an individual. The input image is a medical image acquired by a first imaging modality. The method also includes generating a first feature image based on the input image. The first feature image includes a designated anatomical feature of the ROI. The method also includes obtaining an anatomical atlas. The atlas has a reference image of the ROI of at least one other individual and an organ model. The reference image is a medical image that is acquired by a second imaging modality that is different from the first imaging modality. The method also includes determining a transformation function by registering the first feature image with a second feature image that is based on the reference image and includes the designated anatomical feature.

Abstract: A method for automatically displaying an organ of interest includes accessing a series of medical images acquired from a first imaging modality, receiving an input that indicates an organ of interest, automatically detecting the organ of interest within at least one image in the series of medical images, automatically placing a visual indicator in the region of interest, and automatically propagating the visual indicator to at least one image that is acquired using a second different imaging modality. A medical imaging system and a non-transitory computer readable medium are also described herein.

Abstract: A method for determining image information for an image of an object includes obtaining at least one image of an object of interest, automatically determining an image type and a presence or absence of a contrast agent, automatically generating a label that indicates the image type and the presence or absence of the contrast agent, and modifying the at least one image to include the label. A system and non-transitory computer readable medium are also described herein.

Abstract: A method for generating an image includes obtaining a first image and a second image of an object of interest, generating a joint histogram using the first and second images, transforming the information in the histogram from histogram space to image space using a look-up table, and generating a color image using the information output from the look-up table. A system and non-transitory computer readable medium are also described herein.

Abstract: A method for automatically detecting an organ of interest that includes accessing a medical image dataset using a processor, automatically segmenting the medical image dataset to identify an outline of a body of a patient, automatically determining an axial reference image slice and a axial center point using the segmented body of the patient, automatically determining a location of the organ of interest using the axial reference image slice and the axial center point, and automatically placing a visual indicator in the organ of interest based on the determined location. A medical imaging system and a non-transitory computer readable medium are also described herein.

Abstract: A method that includes receiving an input image of a region of interest (ROI) of an individual. The input image is a medical image acquired by a first imaging modality. The method also includes generating a first feature image based on the input image. The first feature image includes a designated anatomical feature of the ROI. The method also includes obtaining an anatomical atlas. The atlas has a reference image of the ROI of at least one other individual and an organ model. The reference image is a medical image that is acquired by a second imaging modality that is different from the first imaging modality. The method also includes determining a transformation function by registering the first feature image with a second feature image that is based on the reference image and includes the designated anatomical feature.

Abstract: A method for generating an image includes obtaining a first image and a second image of an object of interest, generating a joint histogram using the first and second images, transforming the information in the histogram from histogram space to image space using a look-up table, and generating a color image using the information output from the look-up table. A system and non-transitory computer readable medium are also described herein.

Abstract: A method for determining image information for an image of an object includes obtaining at least one image of an object of interest, automatically determining an image type and a presence or absence of a contrast agent, automatically generating a label that indicates the image type and the presence or absence of the contrast agent, and modifying the at least one image to include the label. A system and non-transitory computer readable medium are also described herein.

Abstract: A method for automatically displaying an organ of interest includes accessing a series of medical images acquired from a first imaging modality, receiving an input that indicates an organ of interest, automatically detecting the organ of interest within at least one image in the series of medical images, automatically placing a visual indicator in the region of interest, and automatically propagating the visual indicator to at least one image that is acquired using a second different imaging modality. A medical imaging system and a non-transitory computer readable medium are also described herein.