Title :
Data redundancy in diffraction tomography
Author :
Paladhi, P. Roy ; Sinha, A.K. ; Tayebi, A. ; Udpa, L. ; Tamburrino, A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
Filtered backpropagation (FBPP) is a well-established technique used in Diffraction Tomography (DT). This paper presents a modified algorithm for reducing the traditional requirement of 360° angular coverage. The algorithm uses the redundancy in projection data optimally to create distortionless reconstruction for coverage up to 200°.
Keywords :
backpropagation; diffraction; filtering theory; image reconstruction; tomography; DT; [|νm| image reconstruction; data redundancy; diffraction tomography; distortionless reconstruction; filtered backpropagation; projection data; Backpropagation; Backpropagation algorithms; Diffraction; Image reconstruction; Redundancy; Standards; Tomography; Diffraction tomography; filtered backpropagation;
Conference_Titel :
Applied Computational Electromagnetics (ACES), 2015 31st International Review of Progress in
Conference_Location :
Williamsburg, VA
