Use of a CMOS Image Sensor for an Active Personal Dosimeter in Interventional Radiology

• Published in: IEEE transactions on instrumentation and measurement Vol. 62; no. 5; pp. 1065 - 1072
• Main Authors: Conti, E., Placidi, P., Biasini, M., Bissi, L., Calandra, A., Checcucci, B., Chiocchini, S., Cicioni, R., Di Lorenzo, R., Dipilato, A. C., Esposito, A., Paolucci, M., Passeri, D., Pentiricci, A., Scorzoni, A., Servoli, L.
• Format: Journal Article
• Language: English
• Published: IEEE 01.05.2013
• Subjects: Active Personal Dosimeter; Clustering algorithms; CMOS pixels; dosimetry; Electron tubes; interventional radiology (IR); Measurement uncertainty; Noise; Photonics; Time measurement; Uncertainty; X-ray
• ISSN: 0018-9456; 1557-9662
• DOI: 10.1109/TIM.2012.2223331

Interventional radiologists and staff members, during all their professional activities, are frequently exposed to protracted and fractionated low doses of ionizing radiation. Due to skin tissues and peripheral blood irradiation, these exposures can result in deterministic effects (radiodermatitis, aged skin, and hand depilation) or stochastic ones (skin and non-solid cancer incidence). The authors present a novel approach to perform online monitoring of the staff during their interventions by using a device based on an Active Pixel Sensor. The performance of the sensor as an X-ray radiation detector has been evaluated with a proper experimental setup: the number of photons and the generated charge have been assessed as dosimetric observables from the frames acquired by the sensor using a two-threshold clustering algorithm, the efficiency of which has been evaluated as well. The correlation of these observables with passive dosimeter dose measurements has been analyzed: a good linearity has been demonstrated, and the response difference between pulsed and continuous operational modes is reduced to less than 10%, marking a distinct improvement with respect to commercial Active Personal Dosimeters.