Model based estimation of a complete or partial positron emission tomography attenuation map using maximum likelihood expectation maximization
AssigneesSiemens Medical Solutions USA, Inc., Siemens Aktiengesellschaft
InventorsMatthias Fenchel, Ralf Ladebeck, Christian J. Michel, Charles C. Watson
Life of this patent
Estimating the term…
Abstract
Example embodiments are directed to a method of correcting attenuation in a magnetic resonance (MR) scanner and a positron emission tomography (PET) unit. The method includes acquiring PET sinogram data of an object within a field of view of the PET unit. The method further includes producing an attenuation map based on a maximum likelihood expectation maximization (MLEM) of a parameterized model instance and the PET sinogram data.
Claims25
A method of correcting attenuation in a magnetic resonance (MR) scanner and a positron emission tomography (PET) unit, the method comprising:
- acquiring PET sinogram data of an object within a field of view of the PET unit;
- and
- producing an attenuation map based on a maximum likelihood expectation maximization (MLEM) of a parameterized model instance and the PET sinogram data.
A method of correcting attenuation in a magnetic resonance (MR) scanner and a positron emission tomography (PET) unit, the method comprising:
- acquiring PET sinogram data of an object within a field of view of the PET unit;
- acquiring MR data of the object within a field of view of the MR scanner;
- producing an attenuation map based on a maximum likelihood expectation maximization (MLEM) of a parameterized model instance and the acquired PET sinogram and MR data, the MLEM being constrained by model parameters of the parameterized model instance.
A device comprising:
- a positron emission tomography (PET) unit including a plurality of detection units and configured to acquire PET sinogram data of an object within a field of view of the PET unit;
- a magnetic resonance (MR) scanner configured to acquire MR data of the object within a field of view of the MR scanner;
- and
- a computer configured to produce an attenuation map based on a maximum likelihood expectation maximization (MLEM) of a parameterized model instance and the acquired PET sinogram and MR data, the MLEM being constrained by model parameters of the parameterized model instance.
Dependencies are inferred from the claim text.