Abstract: Exemplary embodiments of the present disclosure are directed to correcting lung density variations in positron emission tomography (PET) images of a subject using a magnetic resonance (MR) image. A pulmonary vasculature and an outer extent of a lung cavity can be identified in a MR image corresponding to a thoracic region of the subject in response to an intensity associated with pixels in the MR image. The pixels within the outer extent of the lung cavity are classified as corresponding to the pulmonary vasculature or the lung tissue. Exemplary embodiments of the present disclosure can apply attenuation coefficients to a reconstruction of the PET image based on the classification of the pixels within the outer extent of the lung cavity.

Abstract: A method for correcting a positron emission tomography (PET) image includes obtaining a magnetic resonance (MR) image dataset, classifying at least one object in the MR image as a bone, generating MR-derived PET attenuation correction factors based on the object classified as the bone, and attenuation correcting a plurality of positron emission tomography (PET) emission data using the MR-derived PET attenuation correction factors. A medical imaging system and a non-transitory computer readable medium are also described herein.

Abstract: A method for generating a positron emission tomography (PET) attenuation correction map. The method includes obtaining a magnetic resonance (MR) image dataset of a subject of interest, obtaining a positron emission tomography (PET) emission dataset of the subject of interest, segmenting the MR image dataset to identify at least one object of interest, determining a volume of the object of interest, and generating a PET attenuation correction map using the determined volume. A medical imaging system and a non-transitory computer readable medium are also described herein.

Abstract: A method for generating a positron emission tomography (PET) attenuation correction map. The method includes obtaining a magnetic resonance (MR) image dataset of a subject of interest, obtaining a positron emission tomography (PET) emission dataset of the subject of interest, segmenting the MR image dataset to identify at least one object of interest, determining a volume of the object of interest, and generating a PET attenuation correction map using the determined volume.

Abstract: Exemplary embodiments of the present disclosure are directed to correcting lung density variations in positron emission tomography (PET) images of a subject using a magnetic resonance (MR) image. A pulmonary vasculature and an outer extent of a lung cavity can be identified in a MR image corresponding to a thoracic region of the subject in response to an intensity associated with pixels in the MR image. The pixels within the outer extent of the lung cavity are classified as corresponding to the pulmonary vasculature or the lung tissue. Exemplary embodiments of the present disclosure can apply attenuation coefficients to a reconstruction of the PET image based on the classification of the pixels within the outer extent of the lung cavity.

Abstract: A method for correcting a positron emission tomography (PET) image includes obtaining a magnetic resonance (MR) image dataset, classifying at least one object in the MR image as a bone, generating MR-derived PET attenuation correction factors based on the object classified as the bone, and attenuation correcting a plurality of positron emission tomography (PET) emission data using the MR-derived PET attenuation correction factors.

Abstract: A method for expanding a field-of-view of a volumetric computed tomography scan comprises identifying truncated views having projection truncation and non-truncated views without projection truncation based on an average value of one or more edge channels. An estimated missing projection is calculated for each of the truncated views based on at least one neighboring non-truncated view. A projection profile is calculated for each of the truncated views based on the estimated missing projection, and the projection profile provides at least one of attenuation data and projection data for an area outside a field-of-view.

Abstract: A method includes scanning an object in a first modality having a first field of view to obtain first modality data including fully sampled field of view data and partially sampled field of view data. The method also includes scanning the object in a second modality having a second field of view larger than the first field of view of obtain second modality data, and reconstructing an image of the object using the second modality data and the first modality partially sampled field of view data.

Abstract: A method includes scanning an object in a first modality having a first field of view to obtain first modality data including fully sampled field of view data and partially sampled field of view data. The method also includes scanning the object in a second modality having a second field of view larger than the first field of view of obtain second modality data, and reconstructing an image of the object using the second modality data and the first modality partially sampled field of view data.

Abstract: A nuclear medical imaging system generates transmission and emission images simultaneously. The system includes a gamma camera and a linear transmission source disposed on opposite sides of an imaging region in which a patient lies. A plurality of views are taken at different rotational angles around a patient. At each angle, the view acquisition period is divided into two segments based on whether the transmission source is on or off. Emission image data is acquired either in both period segments or only while the transmission source is off. The transmission image data is acquired when the transmission source is on, and crosstalk image data is acquired when the transmission source is off.

Abstract: Methods and systems for performing a tomographic scan which allow an operator to define a non-circular orbit so that a detector can be positioned close to a patient at each view are described. Such methods and systems provide that the patient to detector distance is reduced, which improves spatial resolution for the scan. In one embodiment, and to achieve a non-circular orbit, the camera and table/patient are moved with respect to one another. Specifically, the table is pinned in position and set to lateral and vertical positions during set-up. The same lateral and vertical table positions are maintained during the scanning phase. To get the camera closer or farther from the patient/table, the camera is pitched in or out. The camera head is tilted to achieve a tilt angle of zero degrees for all changes in pitch. As the camera pitches in and out, the central axis of the camera moves along the longitudinal axis of the table.