A new approach to position reconstruction in TOFPET
Nagendra Nath Mondal

TL;DR
This paper presents a Monte Carlo simulation-based method for position reconstruction in TOFPET, demonstrating potential applicability in diagnostic imaging but limited usefulness for small animal imaging.
Contribution
It introduces a new simulation-based approach for positron-electron annihilation point reconstruction in TOFPET using GEANT, highlighting its potential and limitations.
Findings
Potential use in diagnostic TOFPET cameras
Limited applicability for small animal imaging
Simulation results support the proposed method
Abstract
Monte Carlo Simulation (MCS) is a state-of-the-art technique in designing sophisticated apparatus for various applications in science and technology. We adopted MCS based on GEANT (GEometry ANd Tracking) in order to design a simple timeof-flight positron emission tomography (TOFPET). In MCS studies, a new method of position reconstruction of positron-electron annihilation points has been developed so far. Simulation results show that this technique may not be useful for small animal imaging camera but might be practicable in diagnostic TOFPET camera. Specific issue of this simulation technique is discussed.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMedical Imaging Techniques and Applications · Radiation Detection and Scintillator Technologies · Particle Detector Development and Performance
