AIRPET: Virtual Positron Emission Tomography

TL;DR

AIRPET is an integrated, AI-assisted web platform that streamlines the design, simulation, and reconstruction of PET scanners, making advanced PET technology development more accessible and efficient.

Contribution

This paper introduces AIRPET, a novel web-based platform that combines all PET design stages with AI assistance, simplifying complex workflows for researchers.

Findings

Successful integration of PET design and reconstruction tools

Enhanced accessibility for small teams and individuals

Potential for expanding AI-assisted functionalities

Abstract

Positron Emission Tomography (PET) is a powerful medical imaging technique, but the design and evaluation of new PET scanner technologies present significant challenges. The process is typically divided into three major stages: 1. detector design and simulation, 2. image reconstruction, and 3. image interpretation. Each of these stages requires significant expertise, making it difficult for individuals or small teams to manage all three at once. AIRPET (AI-driven Revolution in Positron Emission Tomography) is a web-based platform designed to address this challenge by integrating all phases of PET design into a single, accessible, and AI-assisted workflow. AIRPET provides an interface to large language models (LLMs) for assisted geometry creation and an interface for basic PET image reconstruction with the potential for further expansion. Here we introduce AIRPET and outline its current functionality and proposed additions.