Published November 7, 2010 | Version v1
Journal article

Projection correlation based view interpolation for cone beam CT: primary fluence restoration in scatter measurement with a moving beam stop array

  • 1. Institute of Image Processing and Pattern Recognition, Xi'an Jiaotong University, Xi'an, Shaanxi 710049 (China)
  • 2. Helmholtz Zentrum Muenchen-German Research Center for Environmental Health, Institute of Radiation Protection, Neuherberg (Germany)

Description

Scatter correction is an open problem in x-ray cone beam (CB) CT. The measurement of scatter intensity with a moving beam stop array (BSA) is a promising technique that offers a low patient dose and accurate scatter measurement. However, when restoring the blocked primary fluence behind the BSA, spatial interpolation cannot well restore the high-frequency part, causing streaks in the reconstructed image. To address this problem, we deduce a projection correlation (PC) to utilize the redundancy (over-determined information) in neighbouring CB views. PC indicates that the main high-frequency information is contained in neighbouring angular projections, instead of the current projection itself, which provides a guiding principle that applies to high-frequency information restoration. On this basis, we present the projection correlation based view interpolation (PC-VI) algorithm; that it outperforms the use of only spatial interpolation is validated. The PC-VI based moving BSA method is developed. In this method, PC-VI is employed instead of spatial interpolation, and new moving modes are designed, which greatly improve the performance of the moving BSA method in terms of reliability and practicability. Evaluation is made on a high-resolution voxel-based human phantom realistically including the entire procedure of scatter measurement with a moving BSA, which is simulated by analytical ray-tracing plus Monte Carlo simulation with EGSnrc. With the proposed method, we get visually artefact-free images approaching the ideal correction. Compared with the spatial interpolation based method, the relative mean square error is reduced by a factor of 6.05-15.94 for different slices. PC-VI does well in CB redundancy mining; therefore, it has further potential in CBCT studies.

Availability note (English)

Available from http://dx.doi.org/10.1088/0031-9155/55/21/002

Additional details

Identifiers

DOI
10.1088/0031-9155/55/21/002;
PII
S0031-9155(10)48348-7;

Publishing Information

Journal Title
Physics in Medicine and Biology
Journal Volume
55
Journal Issue
21
Journal Page Range
p. 6353-6375
ISSN
0031-9155
CODEN
PHMBA7

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
42035770
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
ALGORITHMS; COMPUTERIZED TOMOGRAPHY; CORRELATIONS; INTERPOLATION; MONTE CARLO METHOD; PHANTOMS
Descriptors DEC
CALCULATION METHODS; DIAGNOSTIC TECHNIQUES; MATHEMATICAL LOGIC; MATHEMATICAL SOLUTIONS; MOCKUP; NUMERICAL SOLUTION; STRUCTURAL MODELS; TOMOGRAPHY