University of Wollongong

Loma Linda University

Northern Illinois University

University of Haifa

Fermi Research Alliance, LLC

Scott N Penfold

Reinhard W Schulte

Kirk Duffin

Nicholas Karonis

Yair Censor

George Coutrakon

Vishnu Zutshi

Paul Rubinov

Victor Rykalin

Bela Erdelyi

Kevin Naglich

Disclosed are systems, devices and methodologies relating to proton computed tomography. In some implementations, detection of protons can yield track information before and after an object for each proton so as to allow determination of a likely path of each proton within the object. Further, measurement of energy loss experienced by each proton allows determination that a given likely path results in a given energy loss. A collection of such data allows characterization of the object. In the context of energy loss, such a characterization can include an image map of relative stopping power of the object. Various reconstruction methodologies for obtaining such an image, including but not limited to superiorization of a merit function such as total variation, are disclosed. In some implementations, various forms of total variation superiorization methodology can yield excellent results while being computationally efficient and with reduced computing time. In some implementations, such a methodology can result in high quality proton CT images using relatively low dose of protons.

Systems and methodologies for proton computed tomography

Disclosed are systems, devices and methodologies relating to proton computed tomography. In some implementations, detection of protons can yield track information before and after an object for each proton so as to allow determination of a likely path of each proton within the object. Further, measurement of energy loss experienced by each proton allows determination that a given likely path results in a given energy loss. A collection of such data allows characterization of the object. Such a characterization can include an image map of relative stopping power of the object. Various reconstruction methodologies for obtaining such an image can include superiorization of a merit function such as total variation. Various forms of total variation superiorization methodology can yield excellent results with reduced computing time. In some implementations, such a methodology can result in high quality proton CT images using relatively low dose of protons.

A proton computed tomography (pCT) detector system, including two tracking detectors in sequence on a first side of an object to be imaged, two tracking detectors in sequence on an opposite side of the object to be imaged, a calorimeter, and a computer cluster, wherein the tracking detectors include plastic scintillation fibers. All fibers in the detector system are read out by Silicon Photomultipliers (SiPM). A method of imaging an object by emitting protons from a source through two tracking detectors, through and around the object, and through two opposite tracking detectors, detecting energy of the protons with a calorimeter, and imaging the object.

High performance computing for three dimensional proton computed tomography (HPC-pCT)

High performance computing for three dimensional proton computed tomography (HPC-PCT)

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Scott N Penfold