Dietsch, S;
Lindenroth, L;
Stilli, A;
Stoyanov, D;
(2023)
Imaging skins: stretchable and conformable on-organ beta particle detectors for radioguided surgery.
Progress in Biomedical Engineering
, 5
(3)
, Article 033001. 10.1088/2516-1091/acdc70.
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Abstract
While radioguided surgery (RGS) traditionally relied on detecting gamma rays, direct detection of beta particles could facilitate the detection of tumour margins intraoperatively by reducing radiation noise emanating from distant organs, thereby improving the signal-to-noise ratio of the imaging technique. In addition, most existing beta detectors do not offer surface sensing or imaging capabilities. Therefore, we explore the concept of a stretchable scintillator to detect beta-particles emitting radiotracers that would be directly deployed on the targeted organ. Such detectors, which we refer to as imaging skins, would work as indirect radiation detectors made of light-emitting agents and biocompatible stretchable material. Our vision is to detect scintillation using standard endoscopes routinely employed in minimally invasive surgery. Moreover, surgical robotic systems would ideally be used to apply the imaging skins, allowing for precise control of each component, thereby improving positioning and task repeatability. While still in the exploratory stages, this innovative approach has the potential to improve the detection of tumour margins during RGS by enabling real-time imaging, ultimately improving surgical outcomes.
Type: | Article |
---|---|
Title: | Imaging skins: stretchable and conformable on-organ beta particle detectors for radioguided surgery |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1088/2516-1091/acdc70 |
Publisher version: | https://doi.org/10.1088/2516-1091/acdc70 |
Language: | English |
Additional information: | Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10173300 |
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