Literature DB >> 19238381

Attenuation correction for lung SPECT: evidence of need and validation of an attenuation map derived from the emission data.

Margarita Núñez1, Vineet Prakash, Ricardo Vila, Fernando Mut, Omar Alonso, Brian F Hutton.   

Abstract

PURPOSE: The aim of our study was to investigate the importance of attenuation correction (AC) in reconstructed and reprojected images on lung SPECT studies.
METHODS: Simulation studies were undertaken to evaluate the influence of AC on defect-to-normal ratios (D/N), to demonstrate the influence of errors in the correction map values and to detect lung boundaries used for AC. The use of a synthetic map (SM) for AC of the clinical data was also evaluated and the results compared with those obtained with data derived from CT (CTM). Additionally, the role of AC in reprojected SPECT data was assessed and level of noise on the 'planar-like' images was measured.
RESULTS: Phantom studies showed that AC markedly affects the D/N ratio. However, variations in micro values typical of those found in clinical studies resulted in relatively small changes in results. Eroded and dilated conditions did not cause any significant effect on D/N. The level of noise in the reprojected images is reduced in comparison with real planar data. Clinical SPECT/CT data reconstructed with AC using CTM and SM showed an excellent correlation between the two methods.
CONCLUSION: AC improves D/N in lung SPECT studies, thus potentially enhancing the diagnostic capability of the method. The use of a synthetic map for AC is feasible, avoiding the need for an additional procedure and the increased radiation dose involved. Planar-like images generated from reprojected SPECT data are well matched to normal planar images provided AC is performed and attenuation included in the reprojection.

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Year:  2009        PMID: 19238381     DOI: 10.1007/s00259-009-1090-4

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


  55 in total

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  7 in total

1.  Direct Image-Based Attenuation Correction using Conditional Generative Adversarial Network for SPECT Myocardial Perfusion Imaging.

Authors:  Mahsa Torkaman; Jaewon Yang; Luyao Shi; Rui Wang; Edward J Miller; Albert J Sinusas; Chi Liu; Grant T Gullberg; Youngho Seo
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2021-02-15

2.  Fisher information analysis of list-mode SPECT emission data for joint estimation of activity and attenuation distribution.

Authors:  Ashequr Rahman; Yansong Zhu; Eric Clarkson; Matthew A Kupinski; Eric C Frey; Abhinav K Jha
Journal:  Inverse Probl       Date:  2020-08-20       Impact factor: 2.407

3.  A physics and learning-based transmission-less attenuation compensation method for SPECT.

Authors:  Zitong Yu; Md Ashequr Rahman; Thomas Schindler; Richard Laforest; Abhinav K Jha
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2021-02-15

4.  Data Management and Network Architecture Effect on Performance Variability in Direct Attenuation Correction via Deep Learning for Cardiac SPECT: A Feasibility Study.

Authors:  Mahsa Torkaman; Jaewon Yang; Luyao Shi; Rui Wang; Edward J Miller; Albert J Sinusas; Chi Liu; Grant T Gullberg; Youngho Seo
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2021-12-24

5.  Joint reconstruction of activity and attenuation map using LM SPECT emission data.

Authors:  Abhinav K Jha; Eric Clarkson; Matthew A Kupinski; Harrison H Barrett
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2013

6.  Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study.

Authors:  Jaewon Yang; Luyao Shi; Rui Wang; Edward J Miller; Albert J Sinusas; Chi Liu; Grant T Gullberg; Youngho Seo
Journal:  J Nucl Med       Date:  2021-02-26       Impact factor: 11.082

7.  Nonlinear dual reconstruction of SPECT activity and attenuation images.

Authors:  Huafeng Liu; Min Guo; Zhenghui Hu; Pengcheng Shi; Hongjie Hu
Journal:  PLoS One       Date:  2014-09-16       Impact factor: 3.240

  7 in total

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