Article ; Online: Image quality of list-mode proton imaging without front trackers.
Physics in medicine and biology
2020 Volume 65, Issue 13, Page(s) 135012
Abstract: List mode proton imaging relies on accurate reconstruction of the proton most likely path (MLP) through the patient. This typically requires two sets of position sensitive detector systems, one upstream (front) and one downstream (rear) of the patient. ... ...
Abstract | List mode proton imaging relies on accurate reconstruction of the proton most likely path (MLP) through the patient. This typically requires two sets of position sensitive detector systems, one upstream (front) and one downstream (rear) of the patient. However, for a clinical implementation it can be preferable to omit the front trackers (single-sided proton imaging). For such a system, the MLP can be computed from information available through the beam delivery system and the remaining rear tracker set. In this work, we use Monte Carlo simulations to compare a conventional double-sided (using both front and rear detector systems) with a single-sided system (only rear detector system) by evaluating the spatial resolution of proton radiographs (pRad) and proton CT images (pCT) acquired with these set-ups. Both the pencil beam spot size, as well as the spacing between spots was also adjusted to identify the impact of these beam parameters on the image quality. Relying only on the pencil beam central position for computing the MLP resulted in severe image artifacts both in pRad and pCT. Using the recently extended-MLP formalism that incorporate pencil beam uncertainty removed these image artifacts. However, using a more focused pencil beam with this algorithm induced image artifacts when the spot spacing was the same as the beam spot size. The spatial resolution tested with a sharp edge gradient technique was reduced by 40% for single-sided (MTF |
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MeSH term(s) | Algorithms ; Child ; Head/diagnostic imaging ; Humans ; Image Processing, Computer-Assisted ; Monte Carlo Method ; Phantoms, Imaging ; Protons ; Quality Control ; Tomography, X-Ray Computed/methods |
Chemical Substances | Protons |
Language | English |
Publishing date | 2020-07-09 |
Publishing country | England |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 208857-5 |
ISSN | 1361-6560 ; 0031-9155 |
ISSN (online) | 1361-6560 |
ISSN | 0031-9155 |
DOI | 10.1088/1361-6560/ab8ddb |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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