Year: 2020

Andrew LaBella’s new paper titled  ”Towards 100 ps Coincidence Time Resolution Using Multiple Timestamps in Depth-Encoding PET Modules: A Monte Carlo Simulation Study” is accepted for publication in IEEE Trans. Rad. Plasma Med. Sci. Coincidence time resolution (CTR) in modern time-of-flight (TOF) PET scanners is limited by properties of the detector system, namely scintillator size…Continue Reading November 2020

Andrew LaBella’s fifth paper titled  ”Sub-2 mm Depth of Interaction Localization in PET Detectors with Prismatoid Light Guide Arrays and Single-Ended Readout using Convolutional Neural Networks” is accepted for publication in Med. Phys. Depth of interaction (DOI) readout in PET imaging has been researched in efforts to mitigate parallax error, which would enable the development…Continue Reading November 2020

Eric Petersen, Andrew LaBella, Haripriya Kannan and Atreyo Mukherjee were awarded the 2020 Conference Trainee Grants for the IEEE NSS/MIC conference held in Boston, USA. Congratulations All! 12 papers from the Goldan Lab were accepted for the conference ( 4 Oral Presentations and 8 Posters). For more information visit :https://www.eventclass.org/contxt_ieee2020/online-program/search?search=goldan…Continue Reading November 2020

Andrew LaBella’s fourth paper titled  ”Prismatoid light guide array for enhanced gamma ray localization in PET: a Monte Carlo simulation study of scintillation photon transport” was published in Phys. Med. Biol. High spatial resolution PET relies on having excellent depth-of-interaction (DOI) resolution and small detector elements. Depth-encoding in PET modules has traditionally been performed using…Continue Reading June 2020

Our new paper titled “Ultra-low Dark Currents in Avalanche Amorphous Selenium Photodetectors using Solution-processed Quantum Dot Blocking Layer” was published in ACS Photonics. In this paper, we propose a true solid-state alternative to the vacuum photomultiplier tube using amorphous selenium as the bulk avalanche i-layer. To achieve reliable and repeatable impact ionization gain without irreversible…Continue Reading June 2020

Andrew LaBella’s third journal paper is accepted in the J Nucl Med. titled ”  High Resolution Depth-Encoding PET Detector Module with Prismatoid Light Guide Array.” Our work presents a revolutionary approach for performing high resolution PET imaging which is both practical and cost-effective while being compatible with existing silicon photomultiplier-based readout systems and electronics. We’ve…Continue Reading January 2020

Andrew LaBella’s second paper “Convolutional Neural Network for Crystal Identification and Gamma Ray Localization in PET” is accepted for publication in IEEE Trans Rad Plasma Med Sc. In this paper, we use convolutional neural networks (CNNs) for 3D gamma ray localization in PET detector arrays with multicrystal scintillators. We trained and tested our CNN on…Continue Reading January 2020