Paper
19 March 2014 A novel intra-operative positron imager for rapid localization of tumor margins
Hamid Sabet, Brendan C. Stack, Vivek V. Nagarkar
Author Affiliations +
Abstract
We have developed an intra-operative and compact imaging tool for surgeons to detect PET- positive lesions. Currently, most such probes on the market are non-imaging, and provide no ancillary information of surveyed areas, such as clear delineations of malignant tissues. Our probe consists of a novel hybrid scintillator coupled to a compact silicon photomultiplier (SiPM) array with associated front-end electronics encapsulated in an ergonomic housing. Pulse shape discrimination electronics has been implemented and integrated into the downstream data acquisition system. The hybrid scintillator consists of a 0.4 mm thick layer of CsI:Tl scintillator coupled to a 1 mm thick LYSO crystal. To achieve high spatial resolution, CsI:Tl is pixelated to 0.5×0.5 mm2 pixels using laser ablation technique. While CsI:Tl act as beta-sensitive scintillator, LYSO senses the gamma radiation and can be used to navigate the probe to the locations of interest. The gamma response is also subtracted from the beta image for improved SNR and contrast. To achieve accurate centroid position estimation and uniform beta sensitivity over the entire imaging area, the LYSO thickness is optimized such that it acts as scintillation light diffuser by spreading CsI:Tl light over multiple SiPM pixels. The results show that the response of the two scintillators exposed to radiation could be easily distinguished based on their pulse shapes. The probe’s spatial resolution is <1.5 mm FWHM in its 10×10 mm2 effective imaging area. The probe can rapidly detect and localize nCi levels of F-18 beta radiation even in presence of strong gamma background.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hamid Sabet, Brendan C. Stack, and Vivek V. Nagarkar "A novel intra-operative positron imager for rapid localization of tumor margins", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90334K (19 March 2014); https://doi.org/10.1117/12.2043812
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Scintillators

Sensors

Electronics

Head

Tissues

Tumors

Spatial resolution

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