Influence of data interpolation on positron emission tomography image tomography reconstruction

Yang Kun; Liu Xin-Xin; Li Xiao-Wei

doi:10.7498/aps.62.147802

Abstract

Positron emission tomography (PET) is the most state-of-the-art clinical examination method in the field of nuclear medicine imaging technology. The PET is one of the best tools for tumor diagnosis and guidance in the clinical treatment. The source data that are obtained by PET, need to be processed into a sinogram form data which can be used for image reconstruction. Parallel beam tomographic reconstruction and fan-beam tomographic reconstruction are two methods of imagetomographic reconstruction, respectively, corresponding to parallel beam data processing and fan beam data processing. The processing of the original data is inevitable to destruct the integrity of original data. Nowadays, the PET is a commonly used method of parallel beam image reconstruction. Parallel beam data processing will change original data by data interpolation operation, and the fan beam data processing avoids data interpolation operation. In this paper, we study the influence of data interpolation on PET image reconstruction by comparing the results obtained by the parallel-beam image reconstruction with those obtained by fan-beam image reconstruction.

Keywords:

Authors and contacts

1.
School of Physics, Hebei University, Baoding 071000, China
Funds: Project supported by the National Basic Research Program of China (Grant No. 2011CB707500) and the National Key Scientific Instrument and Equipment Development Projects, China (Grant No. 2011YQ030114).

References

[1]	Liu L, Wang Y F 2006 Stereology and Image Analysis Ningbo, October 1, 2006 p147 (in Chinese) [刘力, 王燕芳 2006 中国体视学与图像分析宁波, 2006年10月1日, p147]
[2]	Tolmachev V, Stone-Elander S 2010 Biochim. Biophys. Acta 1800 487
[3]	Reddy S, Robinson M K 2010 Semin. Nucl. Med. 40 182
[4]	Ollinger J M, Fessle J A 1997 IEEE Signal Process. Mag. 14 43
[5]	Verel I, Visser G W, van Dongen G A 2005 J. Nucl. Med. 46 (Suppl. 1) 164S
[6]	Zeng G S 2009 Introduction to Getting Started with Medical Image Reconstruction (Beijing: Higher Education Press) p53 (in Chinese) [曾更生 2009 医学图像重建入门 (北京: 高等教育出版社) 第53页]
[7]	Gao F, RyokoY, Mitsuo W, Liu H F 2009 Acta Phys. Sin. 58 3584 (in Chinese) [高飞, 山田亮子, 渡边光男, 刘华锋 2009 58 3584]
[8]	Goertzen A L, Bao Q, Bergeron M, Blankemeyer E, Blinder S, Cañadas M, Chatziioannou A F, Dinelle K, Elhami E, Jans H S, Lage E, Lecomte R, Sossi V, Surti S, Tai Y C, Vaquero J J, Vicente E, Williams D A, Laforest R 2012 J. Nucl. Med. 53 1300
[9]	Cherry S R, Gambhir S S 2001 ILAR Journal 42 219

Cited By

[1]	Liu L, Wang Y F 2006 Stereology and Image Analysis Ningbo, October 1, 2006 p147 (in Chinese) [刘力, 王燕芳 2006 中国体视学与图像分析宁波, 2006年10月1日, p147]
[2]	Tolmachev V, Stone-Elander S 2010 Biochim. Biophys. Acta 1800 487
[3]	Reddy S, Robinson M K 2010 Semin. Nucl. Med. 40 182
[4]	Ollinger J M, Fessle J A 1997 IEEE Signal Process. Mag. 14 43
[5]	Verel I, Visser G W, van Dongen G A 2005 J. Nucl. Med. 46 (Suppl. 1) 164S
[6]	Zeng G S 2009 Introduction to Getting Started with Medical Image Reconstruction (Beijing: Higher Education Press) p53 (in Chinese) [曾更生 2009 医学图像重建入门 (北京: 高等教育出版社) 第53页]
[7]	Gao F, RyokoY, Mitsuo W, Liu H F 2009 Acta Phys. Sin. 58 3584 (in Chinese) [高飞, 山田亮子, 渡边光男, 刘华锋 2009 58 3584]
[8]	Goertzen A L, Bao Q, Bergeron M, Blankemeyer E, Blinder S, Cañadas M, Chatziioannou A F, Dinelle K, Elhami E, Jans H S, Lage E, Lecomte R, Sossi V, Surti S, Tai Y C, Vaquero J J, Vicente E, Williams D A, Laforest R 2012 J. Nucl. Med. 53 1300
[9]	Cherry S R, Gambhir S S 2001 ILAR Journal 42 219

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Catalog

Vol. 62, Issue 14 - 2013-07-20

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