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Status: Bibliographieeintrag

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Verfasst von:Aschenbrenner, Katharina P. [VerfasserIn]   i
 Boda-Heggemann, Judit [VerfasserIn]   i
 Wenz, Frederik [VerfasserIn]   i
 Hesser, Jürgen [VerfasserIn]   i
Titel:Feasibility of using single photon counting X-ray for lung tumor position estimation based on 4D-CT
Verf.angabe:Katharina P. Aschenbrenner, Christian V. Guthier, Yulia Lyatskaya, Judit Boda-Heggemann, Frederik Wenz, Jürgen W. Hesser
E-Jahr:2017
Jahr:September 2017
Umfang:12 S.
Fussnoten:Gesehen am 29.03.2018
Titel Quelle:Enthalten in: Zeitschrift für medizinische Physik
Ort Quelle:Amsterdam [u.a.] : Elsevier, 1990
Jahr Quelle:2017
Band/Heft Quelle:27(2017), 3, Seite 243-254
ISSN Quelle:1876-4436
Abstract:Purpose: In stereotactic body radiation therapy of lung tumors, reliable position estimation of the tumor is necessary in order to minimize normal tissue complication rate. While kV X-ray imaging is frequently used, continuous application during radiotherapy sessions is often not possible due to concerns about the additional dose. Thus, ultra low-dose (ULD) kV X-ray imaging based on a single photon counting detector is suggested. This paper addresses the lower limit of photons to locate the tumor reliably with an accuracy in the range of state-of-the-art methods, i.e. a few millimeters. Method: 18 patient cases with four dimensional CT (4D-CT), which serves as a-priori information, are included in the study. ULD cone beam projections are simulated from the 4D-CTs including Poisson noise. The projections from the breathing phases which correspond to different tumor positions are compared to the ULD projection by means of Poisson log-likelihood (PML) and correlation coefficient (CC), and template matching under these metrics. Results: The results indicate that in full thorax imaging five photons per pixel suffice for a standard deviation in tumor positions of less than half a breathing phase. Around 50 photons per pixel are needed to achieve this accuracy with the field of view restricted to the tumor region. Compared to CC, PML tends to perform better for low photon counts and shifts in patient setup. Template matching only improves the position estimation in high photon counts. The quality of the reconstruction is independent of the projection angle. Conclusions: The accuracy of the proposed ULD single photon counting system is in the range of a few millimeters and therefore comparable to state-of-the-art tumor tracking methods. At the same time, a reduction in photons per pixel by three to four orders of magnitude relative to commercial systems with flatpanel detectors can be achieved. This enables continuous kV image-based position estimation during all fractions since the additional dose to the patient is negligible.
DOI:doi:10.1016/j.zemedi.2017.05.001
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: http://dx.doi.org/10.1016/j.zemedi.2017.05.001
 Volltext: http://www.sciencedirect.com/science/article/pii/S0939388917300843
 DOI: https://doi.org/10.1016/j.zemedi.2017.05.001
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Correlation coefficient
 Korrelationskoeffizient
 KV imaging
 kV-Bildgebung
 Lung tumor
 Lungentumoren
 Maximum likelihood
 Maximum Likelihood
 Poisson distribution
 Poisson-Verteilung
 Template matching
 Template Matching
 Ultra low dose
 Ultra-niedrig-Dosis
K10plus-PPN:1571618120
Verknüpfungen:→ Zeitschrift

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