Iterative image reconstruction methods in cone beam CT applied to phantom and clinical data

W. Qiu; M. Soleimani; C. N. Mitchell; T. Marchant; C. J. Moore

Iterative image reconstruction methods in cone beam CT applied to phantom and clinical data

W. Qiu, M. Soleimani, C. N. Mitchell, T. Marchant, C. J. Moore

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Cone beam computed tomography (CBCT) enables a volumetric image reconstruction from 2D projection data. In CBCT reconstruction, iterative methods of image reconstruction offer the potential to generate high quality images and would be an advantage especially for sparse data sets. CBCT image reconstruction software has been developed based on Multi-Instrument Data Analysis System (MIDAS) tomography toolbox. In this paper, we present a comparative study of SIRT and ART algorithms, developed in MIDAS platform. The results will be shown using phantom and clinical patient data.

Original language	English
Title of host publication	VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications\|VISAPP - Proc. Int. Conf. Comput. Vis. Theory Appl.
Pages	550-553
Number of pages	3
Volume	1
Publication status	Published - 2010
Event	5th International Conference on Computer Vision Theory and Applications, VISAPP 2010 - Angers Duration: 1 Jul 2010 → …

Conference

Conference	5th International Conference on Computer Vision Theory and Applications, VISAPP 2010
City	Angers
Period	1/07/10 → …

Keywords

Cone beam CT
Iterative reconstruction algorithms

Cite this

@inproceedings{e16f17921458427292d5c5a51e143195,

title = "Iterative image reconstruction methods in cone beam CT applied to phantom and clinical data",

abstract = "Cone beam computed tomography (CBCT) enables a volumetric image reconstruction from 2D projection data. In CBCT reconstruction, iterative methods of image reconstruction offer the potential to generate high quality images and would be an advantage especially for sparse data sets. CBCT image reconstruction software has been developed based on Multi-Instrument Data Analysis System (MIDAS) tomography toolbox. In this paper, we present a comparative study of SIRT and ART algorithms, developed in MIDAS platform. The results will be shown using phantom and clinical patient data.",

keywords = "Cone beam CT, Iterative reconstruction algorithms",

author = "W. Qiu and M. Soleimani and Mitchell, {C. N.} and T. Marchant and Moore, {C. J.}",

year = "2010",

language = "English",

isbn = "9789896740283",

volume = "1",

pages = "550--553",

booktitle = "VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications|VISAPP - Proc. Int. Conf. Comput. Vis. Theory Appl.",

note = "5th International Conference on Computer Vision Theory and Applications, VISAPP 2010 ; Conference date: 01-07-2010",

}

Qiu, W, Soleimani, M, Mitchell, CN, Marchant, T & Moore, CJ 2010, Iterative image reconstruction methods in cone beam CT applied to phantom and clinical data. in VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications|VISAPP - Proc. Int. Conf. Comput. Vis. Theory Appl.. vol. 1, pp. 550-553, 5th International Conference on Computer Vision Theory and Applications, VISAPP 2010, Angers, 1/07/10.

Iterative image reconstruction methods in cone beam CT applied to phantom and clinical data. / Qiu, W.; Soleimani, M.; Mitchell, C. N. et al.
VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications|VISAPP - Proc. Int. Conf. Comput. Vis. Theory Appl.. Vol. 1 2010. p. 550-553.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Iterative image reconstruction methods in cone beam CT applied to phantom and clinical data

AU - Qiu, W.

AU - Soleimani, M.

AU - Mitchell, C. N.

AU - Marchant, T.

AU - Moore, C. J.

PY - 2010

Y1 - 2010

N2 - Cone beam computed tomography (CBCT) enables a volumetric image reconstruction from 2D projection data. In CBCT reconstruction, iterative methods of image reconstruction offer the potential to generate high quality images and would be an advantage especially for sparse data sets. CBCT image reconstruction software has been developed based on Multi-Instrument Data Analysis System (MIDAS) tomography toolbox. In this paper, we present a comparative study of SIRT and ART algorithms, developed in MIDAS platform. The results will be shown using phantom and clinical patient data.

AB - Cone beam computed tomography (CBCT) enables a volumetric image reconstruction from 2D projection data. In CBCT reconstruction, iterative methods of image reconstruction offer the potential to generate high quality images and would be an advantage especially for sparse data sets. CBCT image reconstruction software has been developed based on Multi-Instrument Data Analysis System (MIDAS) tomography toolbox. In this paper, we present a comparative study of SIRT and ART algorithms, developed in MIDAS platform. The results will be shown using phantom and clinical patient data.

KW - Cone beam CT

KW - Iterative reconstruction algorithms

M3 - Conference contribution

SN - 9789896740283

VL - 1

SP - 550

EP - 553

BT - VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications|VISAPP - Proc. Int. Conf. Comput. Vis. Theory Appl.

T2 - 5th International Conference on Computer Vision Theory and Applications, VISAPP 2010

Y2 - 1 July 2010

ER -

Iterative image reconstruction methods in cone beam CT applied to phantom and clinical data

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Keywords

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