Cited time in webofscience Cited time in scopus

X-ray Transmittance Modeling-based Material Decomposition using a Photon-counting Detector CT System

X-ray Transmittance Modeling-based Material Decomposition using a Photon-counting Detector CT System
Lee, OkkyunRajendran, KishorePolster, ChristophStierstorfer, KarlKappler, SteffenLeng, ShuaiMcCollough, Cynthia H.Taguchi, Katsuyuki
Issued Date
IEEE Transactions on Radiation and Plasma Medical Sciences, v.5, no.4, pp.508 - 516
Author Keywords
Material decompositionphoton-counting detector (PCD)spectral distortion
Recently developed x-ray transmittance modeling-based three-step algorithm compensates for the spectral distortion in the photon-counting detector (PCD) and estimates the line-integrals of the basis materials. The x-ray transmittance modeling linearizes the nonlinear forward imaging model and derives a computationally efficient three-step algorithm that achieves almost unbiased and minimum variance estimator. In this article, we apply the algorithm to the experimental data from a research whole-body PCD-computed tomography (CT) system. We perform pixel-by-pixel calibration using water-equivalent phantoms to fit the output of the scanner to the forward model and then feed the calibrated data into the three-step algorithm. Experimental data from iodine phantom and swine abdomen scans demonstrate that the proposed algorithm compensates for the spectral distortion effectively and estimates the line-integrals of two basis materials, water and iodine, efficiently. The proposed method substantially reduces the beam hardening and ring artifacts present in the test phantom compared to those of the image-based material decomposition method and the images directly reconstructed from the raw data of the system. The algorithm also exhibits less bias and comparable noise to those of the other methods for various x-ray energies. © 2017 IEEE.
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • 이옥균 Lee, Okkyun 로봇및기계전자공학과
  • Research Interests Diffuse optical tomography; Functional brain imaging; Compressed sensing; Photon counting CT
Files in This Item:

There are no files associated with this item.

Appears in Collections:
Department of Robotics and Mechatronics Engineering Next-generation Medical Imaging Lab 1. Journal Articles


  • twitter
  • facebook
  • mendeley

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.