Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10609/125327
Título : A novel method for reconstructing CT images in GATE/GEANT4 with application in medical imaging: a complexity analysis approach
Autoría: Gholami, Neda
Dehshibi, Mohammad Mahdi  
Adamatzky, Andrew  
Rueda Toicen, Antonio
Zenil, Hector
Fazlali, Mahmood  
Masip Rodó, David  
Otros: Pattern Research Center
University of the West of England
Algorithmic Nature Group
Karolinska Institutet
Oxford University Innovation
Shahid Beheshti University
Universitat Oberta de Catalunya (UOC)
Citación : Gholami, N., Dehshibi, M.M., Adamatzky, A., Rueda-Toicen, A., Zenil, H., Fazlali, M. & Masip, D. (2020). A novel method for reconstructing CT images in GATE/GEANT4 with application in medical imaging: A complexity analysis approach. Journal of Information Processing, 28, 161-168. doi: 10.2197/ipsjjip.28.161
Resumen : For reconstructing CT images in the clinical setting, "effective energy" is usually used instead of the total X-ray spectrum. This approximation causes an accuracy decline. We proposed to quantize the total X-ray spectrum into irregular intervals to preserve accuracy. A phantom consisting of the skull, rib bone, and lung tissues was irradiated with CT configuration in GATE/GEANT4. We applied inverse Radon transform to the obtained Sinogram to construct a Pixel-based Attenuation Matrix (PAM). PAM was then used to weight the calculated Hounsfield unit scale (HU) of each interval's representative energy. Finally, we multiplied the associated normalized photon flux of each interval to the calculated HUs. The performance of the proposed method was evaluated in the course of Complexity and Visual analysis. Entropy measurements, Kolmogorov complexity, and morphological richness were calculated to evaluate the complexity. Quantitative visual criteria (i.e., PSNR, FSIM, SSIM, and MSE) were reported to show the effectiveness of the fuzzy C-means approach in the segmenting task.
Palabras clave : complejidad
imagen del TAC
FCM
GATE/Geant4
unidad Hounsfield
matriz de atenuación basada en píxeles
DOI: 10.2197/ipsjjip.28.161
Tipo de documento: info:eu-repo/semantics/article
Versión del documento: info:eu-repo/semantics/publishedVersion
Fecha de publicación : feb-2020
Aparece en las colecciones: Articles cientÍfics
Articles

Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
Dehshibi_Masip_JIP_A_novel.pdf
  Restricted Access
5,84 MBAdobe PDFVisualizar/Abrir  Pedir una copia
Comparte:
Exporta:
Consulta las estadísticas

Los ítems del Repositorio están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.