Cross-Sectional Imaging of Tree Stem Density Distribution using Gamma-Ray Tomography Technique

Autor:	Firliyani Rahmatia Ningsih, Bayu Azmi, Sastra Kusuma Wijaya, Prawito, Wibisono
Rok vydání:	2019
Předmět:	Physics History Photon Radon transform business.industry Scintillator Imaging phantom Collimated light Computer Science Applications Education Tree (data structure) Optics Density distribution Tomography business
Zdroj:	Journal of Physics: Conference Series. 1198:022012
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1198/2/022012
Popis:	Cavities in the tree stem increase the potential of the tree to collapse and threaten the safety of people. The stem needs to be checked to determine whether the tree is safe or not. The option of tree stem inspection techniques without destructing it is still very limited. Gamma-ray tomography techniques was used to image tree stem density distributions. A collimated 2.96 GBq 137Cs emits gamma photons through the wood phantom as the object and received by the NaI(Tl) scintillation detector on the other side. The object was scanned with the parallel beam method. The data was built into the image using filtered back projection (FBP) algorithm. The results show the cross-sectional of the wood phantom include the cavities (holes) inside it. Density patterns of wood phantom can be observed. Finally, the use of gamma-ray tomography provided a non-destructive and accurate method for investigation of tree stem density distribution. The results in images form make it easier to be interpreted.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7cd28bfe48a2880a468859a581a89d28 https://doi.org/10.1088/1742-6596/1198/2/022012 Zobrazit plný text záznamu