Monitoring Head Movement in a Brain PET Scanner
Machiel Kolstein, Mokhtar Chmeissani, and Andreu Pacheco

TL;DR
This paper proposes a novel head motion monitoring device for brain PET scans, utilizing point sources around the head to detect movements with high precision despite low activity levels.
Contribution
The study introduces CrowN@22, a head monitoring system with six point sources that accurately detects brain movements during PET scans, improving image quality.
Findings
Detects brain movements with less than 0.3° or 0.5mm accuracy
Operates effectively with low activity sources (10 kBq)
Achieves 1 Hz sampling rate for real-time monitoring
Abstract
When acquiring PET images, body motions are unavoidable, given that the acquisition time could last 10-20 minutes or more. These motions can seriously deteriorate the quality of the final image at the level of image reconstruction and attenuation corrections. Movements can have rhythmic patterns, related to respiratory or cardiac motions, or they can be abrupt reflexive actions caused by the patient's discomfort. Many approaches, software and hardware, have been developed to mitigate this problem where each approach has its own advantages and disadvantages. In this work we present a simulation study of a head monitoring device, named CrowN@22, intended to be used in conjunction with a dedicated brain PET scanner. The CrowN@22 device consists of six point sources of non-pure positron emitter isotopes, such as 22Na or 44Sc, mounted in crown-like rings around the head of the patient. The…
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