Pixel-based parametric source depth map for Cerenkov luminescence imaging
Anno:
2016
Tipologia prodotto:
Articolo in Rivista
Tipologia ANVUR:
Articolo su rivista
Lingua:
Inglese
Formato:
Elettronico
Referee:
Sì
Nome rivista:
JOURNAL OF INSTRUMENTATION
ISSN Rivista:
1748-0221
N° Volume:
11
Numero o Fascicolo:
01
Intervallo pagine:
C01048-C01058
Parole chiave:
Image processing; Pattern recognition, cluster finding, calibration and fitting methods
Breve descrizione dei contenuti:
Optical tomography represents a challenging problem in optical imaging because of the intrinsically ill-posed inverse problem due to photon diffusion. Cerenkov luminescence tomography (CLT) for optical photons produced in tissues by several radionuclides (i.e.: 32P, 18F, 90Y), has been investigated using both 3D multispectral approach and multiviews methods. Difficult in convergence of 3D algorithms can discourage to use this technique to have information of depth and intensity of source. For these reasons, we developed a faster 2D corrected approach based on multispectral acquisitions, to obtain source depth and its intensity using a pixel-based fitting of source intensity. Monte Carlo simulations and experimental data were used to develop and validate the method to obtain the parametric map of source depth. With this approach we obtain parametric source depth maps with a precision between 3% and 7% for MC simulation and 5–6% for experimental data. Using this method we are able to obtain reliable information about the source depth of Cerenkov luminescence with a simple and flexible procedure.
Id prodotto:
98395
Handle IRIS:
11562/966163
ultima modifica:
28 marzo 2023
Citazione bibliografica:
Altabella, L.; Boschi, Federico; Spinelli, A. E.,
Pixel-based parametric source depth map for Cerenkov luminescence imaging«JOURNAL OF INSTRUMENTATION»
, vol. 11
, n. 01
, 2016
, pp. C01048-C01058