Automatic Channel Fault Detection and Diagnosis System for a Small Animal APD-Based Digital PET Scanner
Jonathan Charest, Jean-Fran\c{c}ois Beaudoin, Jules Cadorette, Roger, Lecomte, Charles-Antoine Brunet, R\'ejean Fontaine

TL;DR
This paper presents an intelligent fault detection and diagnosis system for a small animal APD-based digital PET scanner, significantly improving maintenance efficiency and accuracy in identifying malfunctioning channels.
Contribution
The paper introduces a novel hierarchical fault prioritization and diagnosis system specifically designed for complex PET scanners with many channels.
Findings
FDD sensitivity of 99.3% for major faults
Diagnosis accuracy of 92% across fault severities
System effectively aids maintenance tasks
Abstract
Fault detection and diagnosis is critical to many applications in order to ensure proper operation and performance over time. Positron emission tomography (PET) systems that require regular calibrations by qualified scanner operators are good candidates for such continuous improvements. Furthermore, for scanners employing one-to-one coupling of crystals to photodetectors to achieve enhanced spatial resolution and contrast, the calibration task is even more daunting because of the large number of independent channels involved. To cope with the additional complexity of the calibration and quality control procedures of these scanners, an intelligent system (IS) was designed to perform fault detection and diagnosis (FDD) of malfunctioning channels. The IS can be broken down into four hierarchical modules: parameter extraction, channel fault detection, fault prioritization and diagnosis. Of…
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