Literature DB >> 16885617

A combination-weighted Feldkamp-based reconstruction algorithm for cone-beam CT.

Shinichiro Mori1, Masahiro Endo, Shuhei Komatsu, Susumu Kandatsu, Tomoyasu Yashiro, Masayuki Baba.   

Abstract

The combination-weighted Feldkamp algorithm (CW-FDK) was developed and tested in a phantom in order to reduce cone-beam artefacts and enhance cranio-caudal reconstruction coverage in an attempt to improve image quality when utilizing cone-beam computed tomography (CBCT). Using a 256-slice cone-beam CT (256CBCT), image quality (CT-number uniformity and geometrical accuracy) was quantitatively evaluated in phantom and clinical studies, and the results were compared to those obtained with the original Feldkamp algorithm. A clinical study was done in lung cancer patients under breath holding and free breathing. Image quality for the original Feldkamp algorithm is degraded at the edge of the scan region due to the missing volume, commensurate with the cranio-caudal distance between the reconstruction and central planes. The CW-FDK extended the reconstruction coverage to equal the scan coverage and improved reconstruction accuracy, unaffected by the cranio-caudal distance. The extended reconstruction coverage with good image quality provided by the CW-FDK will be clinically investigated for improving diagnostic and radiotherapy applications. In addition, this algorithm can also be adapted for use in relatively wide cone-angle CBCT such as with a flat-panel detector CBCT.

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Year:  2006        PMID: 16885617     DOI: 10.1088/0031-9155/51/16/005

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  9 in total

1.  Compressed sensing based cone-beam computed tomography reconstruction with a first-order method.

Authors:  Kihwan Choi; Jing Wang; Lei Zhu; Tae-Suk Suh; Stephen Boyd; Lei Xing
Journal:  Med Phys       Date:  2010-09       Impact factor: 4.071

2.  Exact reconstruction of volumetric images in reverse helical cone-beam CT.

Authors:  Seungryong Cho; Dan Xia; Charles A Pelizzari; Xiaochuan Pan
Journal:  Med Phys       Date:  2008-07       Impact factor: 4.071

Review 3.  CT-based myocardial perfusion imaging-practical considerations: acquisition, image analysis, interpretation, and challenges.

Authors:  Vishal C Mehra; Marietta Ambrose; Carolina Valdiviezo-Schlomp; Karl H Schuleri; Albert C Lardo; Joao A C Lima; Richard T George
Journal:  J Cardiovasc Transl Res       Date:  2011-06-14       Impact factor: 4.132

4.  A BPF-FBP tandem algorithm for image reconstruction in reverse helical cone-beam CT.

Authors:  Seungryong Cho; Dan Xia; Charles A Pellizzari; Xiaochuan Pan
Journal:  Med Phys       Date:  2010-01       Impact factor: 4.071

5.  Cone beam computed tomography for diagnosis of bisphosphonate-related osteonecrosis of the jaw: evaluation of quantitative and qualitative image parameters.

Authors:  Roman Guggenberger; Emrah Koral; Wolfgang Zemann; Christine Jacobsen; Gustav Andreisek; Philipp Metzler
Journal:  Skeletal Radiol       Date:  2014-07-05       Impact factor: 2.199

6.  3D analytic cone-beam reconstruction for multiaxial CT acquisitions.

Authors:  Zhye Yin; Bruno De Man; Jed Pack
Journal:  Int J Biomed Imaging       Date:  2009-08-30

7.  Artifact reduction in short-scan CBCT by use of optimization-based reconstruction.

Authors:  Zheng Zhang; Xiao Han; Erik Pearson; Charles Pelizzari; Emil Y Sidky; Xiaochuan Pan
Journal:  Phys Med Biol       Date:  2016-04-05       Impact factor: 3.609

8.  High resolution 3D imaging of ex-vivo biological samples by micro CT.

Authors:  Amnon Sharir; Gregory Ramniceanu; Vlad Brumfeld
Journal:  J Vis Exp       Date:  2011-06-21       Impact factor: 1.355

9.  Cone-Beam Angle Dependency of 3D Models Computed from Cone-Beam CT Images.

Authors:  Myung Hye Cho; Mohamed A A Hegazy; Min Hyoung Cho; Soo Yeol Lee
Journal:  Sensors (Basel)       Date:  2022-02-07       Impact factor: 3.576

  9 in total

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