Massachusetts Institute of Technology

Eduardo M Lage

Shivang Rajendra Dave

Vicente Jose Parot

Joaquin Lopez Herraiz

Joaquikn L Herraiz

A method and system for acquiring a series of medical images includes acquiring imaging data, identifying double coincidence events and multiple detection (MD) coincidence events from the imaging data, and storing the double coincidence events and the MD coincidence events in a first dataset and a second dataset, respectively. The method also includes applying a normalization correction to the first dataset and/or the second dataset using normalization values based on double coincidence events and/or MD coincidence events to obtain at least one normalized dataset, and reconstructing a series of medical images of the subject from the at least one normalized dataset.

Normalization correction for multiple-detection enhanced emission tomography

A method and system for acquiring a series of medical images includes receiving medical imaging data corresponding to photons emitted from a subject having received a dose of a radiotracer. Determining, from the medical imaging data, coincidence events including photon coincidence events involving two photons and photon coincidence events involving more than two photons. The photon coincidence events involving two photons and photon coincidence events involving more than two photons are processed and use to reconstruct a series of medical images of the subject.

Inter-detector scatter enhanced emission tomography

A method and system for acquiring a series of medical images includes a plurality of detectors configured to be arranged to acquire gamma rays emitted from a subject as a result of an advanced radionuclide administered to the subject and communicate signals corresponding to acquired gamma rays. A data processing system is configured to receive the signals from the plurality of detectors, determine double coincidence event dataset and a multiple coincidence event dataset, separate the multiple coincidence event dataset into at least one of a standard lines of response dataset and a nonstandard lines of response dataset, and apply a background correction to the double coincidence event dataset based on the non-standard lines of response dataset and/or the standard lines of response dataset to obtain a standard coincidence dataset.

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Eduardo M Lage