Two-dimensional reconstruction algorithm of an inverse-geometry volumetric CT system

Jongduk Baek; Norbert J. Pelc

doi:10.1117/12.709027

Two-dimensional reconstruction algorithm of an inverse-geometry volumetric CT system

Jongduk Baek, Norbert J. Pelc

School of Integrated Technology

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

Abstract

An inverse-geometry volumetric CT (IGCT) system uses a large source array opposite a smaller detector array. Conventional 2D IGCT reconstruction is performed by using gridding. We describe a 2D IGCT reconstruction algorithm without gridding. The IGCT raw data can be viewed as being composed of many fan beams, each with a detector at its focus. Each projection is undersampled but the missing samples are provided by other views. In order to get high spatial resolution, zeros are inserted between acquired projection samples in each fan beam, and reconstruction is performed using a direct fan beam reconstruction algorithm. Initial IGCT reconstruction results showed ringing artifacts caused by fact that the rho samples in the ensemble of views are not equally spaced. We present a new method for correcting the errors that reduces the artifacts to below one Hounsfield Unit.

Original language	English
Title of host publication	Medical Imaging 2007
Subtitle of host publication	Physics of Medical Imaging
Edition	PART 3
DOIs	https://doi.org/10.1117/12.709027
Publication status	Published - 2007
Event	Medical Imaging 2007: Physics of Medical Imaging - San Diego, CA, United States Duration: 2007 Feb 18 → 2007 Feb 22

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Number	PART 3
Volume	6510
ISSN (Print)	1605-7422

Other

Other	Medical Imaging 2007: Physics of Medical Imaging
Country	United States
City	San Diego, CA
Period	07/2/18 → 07/2/22

All Science Journal Classification (ASJC) codes

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

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10.1117/12.709027

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title = "Two-dimensional reconstruction algorithm of an inverse-geometry volumetric CT system",

abstract = "An inverse-geometry volumetric CT (IGCT) system uses a large source array opposite a smaller detector array. Conventional 2D IGCT reconstruction is performed by using gridding. We describe a 2D IGCT reconstruction algorithm without gridding. The IGCT raw data can be viewed as being composed of many fan beams, each with a detector at its focus. Each projection is undersampled but the missing samples are provided by other views. In order to get high spatial resolution, zeros are inserted between acquired projection samples in each fan beam, and reconstruction is performed using a direct fan beam reconstruction algorithm. Initial IGCT reconstruction results showed ringing artifacts caused by fact that the rho samples in the ensemble of views are not equally spaced. We present a new method for correcting the errors that reduces the artifacts to below one Hounsfield Unit.",

author = "Jongduk Baek and Pelc, {Norbert J.}",

year = "2007",

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language = "English",

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Baek, J & Pelc, NJ 2007, Two-dimensional reconstruction algorithm of an inverse-geometry volumetric CT system. in Medical Imaging 2007: Physics of Medical Imaging. PART 3 edn, 65105M, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, no. PART 3, vol. 6510, Medical Imaging 2007: Physics of Medical Imaging, San Diego, CA, United States, 07/2/18. https://doi.org/10.1117/12.709027

Two-dimensional reconstruction algorithm of an inverse-geometry volumetric CT system. / Baek, Jongduk; Pelc, Norbert J.

Medical Imaging 2007: Physics of Medical Imaging. PART 3. ed. 2007. 65105M (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6510, No. PART 3).

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

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AB - An inverse-geometry volumetric CT (IGCT) system uses a large source array opposite a smaller detector array. Conventional 2D IGCT reconstruction is performed by using gridding. We describe a 2D IGCT reconstruction algorithm without gridding. The IGCT raw data can be viewed as being composed of many fan beams, each with a detector at its focus. Each projection is undersampled but the missing samples are provided by other views. In order to get high spatial resolution, zeros are inserted between acquired projection samples in each fan beam, and reconstruction is performed using a direct fan beam reconstruction algorithm. Initial IGCT reconstruction results showed ringing artifacts caused by fact that the rho samples in the ensemble of views are not equally spaced. We present a new method for correcting the errors that reduces the artifacts to below one Hounsfield Unit.

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