Beam hardening correction using length linearization

Daejoong Oh, Sewon Kim, Doohyun Park, Dosik Hwang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Computed tomography (CT) has been used to obtain 3D data from an object or patient. However, most of CT uses polychromatic energy and that results in beam hardening artifact. Therefore, many methods for correcting beam hardening were proposed. Linearization method and post reconstruction method are main category of beam hardening correction method. Especially empirical approaches were commonly used at linearization method; however, empirical methods do not guarantee the linearity of projection data because it uses reconstructed image to decide linearity. Therefore, corrected images are not monochromatic CT images because we could not specify the energy. Proposed method use linearization method as a basic concept. However, we had considered about the relationship between path length and projection data and then found a way to specify the energy of corrected images because proposed method linearizes the projection data fundamentally. Moreover, calculation time for making corrected sinogram was very short. Therefore, this method can be used practically.

Original languageEnglish
Title of host publicationMedical Imaging 2017
Subtitle of host publicationPhysics of Medical Imaging
PublisherSPIE
Volume10132
ISBN (Electronic)9781510607095
DOIs
Publication statusPublished - 2017 Jan 1
EventMedical Imaging 2017: Physics of Medical Imaging - Orlando, United States
Duration: 2017 Feb 132017 Feb 16

Other

OtherMedical Imaging 2017: Physics of Medical Imaging
CountryUnited States
CityOrlando
Period17/2/1317/2/16

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All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Oh, D., Kim, S., Park, D., & Hwang, D. (2017). Beam hardening correction using length linearization. In Medical Imaging 2017: Physics of Medical Imaging (Vol. 10132). [101322J] SPIE. https://doi.org/10.1117/12.2254510