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AssigneeGeneral Electric Company
InventorsThomas Kwok-Fah Foo, Christopher Judson Hardy, Albert Henry Roger Lonn, Ravindra Mohan Manjeshwar, Dattesh Dayanand Shanbhag, Sheshadri Thiruvenkadam
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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.
A method of correcting lung density variations in a positron emission tomography (PET) image of a subject comprising:
A system to correct lung density variations in a positron emission tomography (PET) image of a subject comprising:
A non-transitory computer-readable medium storing instructions executable by a processing device, wherein execution of the instruction by the processing device causes the processing device to implement a process comprising:
Dependencies are inferred from the claim text.