Iterative Reconstruction Methods for Non Uniform Attenuation Distribution in Spect

Maze, A.; Cloirec, J. Le; Collorec, R.; Bizais, Y.; Briandet, P.; Bourguet, Pierre

doi:10.1109/iembs.1992.590162

Cited by 18 publications

(8 citation statements)

References 3 publications

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“…5,6,12,16 The development of nonuniform attenuation correction methods has been facilitated by improved computer systems and provide the ability to successively approximate true tracer distribution by iterative reconstruction techniques. 13,15 …”

Section: Attenuation Correctionmentioning

confidence: 99%

“…4 Recent advances in camera instrumentation and software development offer the potential for correction of nonuniform photon attenuation. [5][6][7][8][9][10][11][12][13][14][15][16] One such method for attenuation correction involves the acquisition of transmission data and construction of an attenuation map to correct for nonuniform photon attenuation. 14 The purpose of this trial was to determine the efficacy of attenuation correction, scatter correction, and resolution compensation, hereafter referred to as corrected imaging, in patients with known or suspected coronary disease by use of 99m Tc sestamibi perfusion imaging.…”

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confidence: 99%

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Multicenter Clinical Trial to Evaluate the Efficacy of Correction for Photon Attenuation and Scatter in SPECT Myocardial Perfusion Imaging

et al. 1999

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Background-Soft tissue attenuation is a prominent cause of single-photon emission computed tomography (SPECT) imaging artifacts, which may result in reduced diagnostic accuracy of myocardial perfusion imaging. A method incorporating simultaneously acquired transmission data permits nonuniform attenuation correction and when incorporating scatter correction and resolution compensation may substantially reduce interpretive errors. Methods and Results-A prospective multicenter trial was performed recruiting patients with angiographically documented coronary disease (nϭ96) and group of subjects with a low likelihood of disease (nϭ88). The uncorrected and attenuation/scatter corrected images were read independently, without knowledge of the patient's clinical data. The detection of Ն50% stenosis was similar using uncorrected perfusion data or with attenuation/ scatter correction and resolution compensation (visual or visual plus quantitative analysis), 76% versus 75% versus 78%, respectively (PϭNS). The normalcy rate, however, was significantly improved with this new methodology, using either the corrected images (86% vs 96%; Pϭ0.011) or with the corrected data and quantitative analysis (86% vs 97%; Pϭ0.007). The receiver operator characteristic curves were also found to be marginally but not significantly higher with attenuation/scatter correction than with tradition SPECT imaging. However, the ability to detect multivessel disease was reduced with attenuation/scatter correction. Regional differences were also noted, with reduced sensitivity but improved specificity for right coronary lesions using attenuation/scatter correction methodology. Conclusions-This multicenter trial demonstrates the initial clinical results of a new SPECT perfusion imaging modalityincorporating attenuation and scatter correction in conjunction with 99m Tc sestamibi perfusion imaging. Significant improvements in the normalcy rate were noted without a decline in overall sensitivity but with a reduction in detection of extensive coronary disease. (Circulation. 1999;99:2742-2749.)

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Section: Attenuation Correctionmentioning

confidence: 99%

mentioning

confidence: 99%

Multicenter Clinical Trial to Evaluate the Efficacy of Correction for Photon Attenuation and Scatter in SPECT Myocardial Perfusion Imaging

et al. 1999

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“…Numerous methods were proposed to correct for photon attenuation such as the Generalized Chang Correction (GCC) algorithm which corrects the reconstructed image in the image space or Iterative Pre Correction (IPC) which corrects the data in the projection space, see [12]. Nevertheless these algorithms require the knowledge of the attenuation map.…”

Section: Correction Algorithm Descriptionmentioning

confidence: 99%

New bimodal scattered radiation tomographic imaging with attenuation and electron density correction algorithm

Rigaud

Régnier

Nguyen

2013

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

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Bimodal medical imaging, which combines two non-invasive tech niques to explore two different aspects (e.g. function and morphol ogy) of an organ, has emerged as a major clinical imaging modality nowadays. The gained information as compared to single modality imaging is overwhelmingly useful for diagnostics and therapy plan ning. Up to now all bimodal techniques make use exclusively of primary radiation. In this work, we describe a new bimodal imaging concept based solely on the exploitation of scattered radiation. Fol lowing a presentation of its theoretical basis, we discuss the mod elings of measurements and inversion formulae used for image re construction. Thus an attenuation and electron density correction algorithm inspired of the Iterative Pre-Correction algorithm (IPC) is proposed. Simulation results demonstrate convincingly the feasibil ity and efficiency of this new bimodal imaging modality.

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“…Numerous methods exist to correct this factor. Among these methods the Iterative Pre Correction algorithm (IPC) [13] proposes to correct the data before reconstruction as follows.…”

Section: Correction Of the Attenuation Factor: Iterative Pre Correctimentioning

confidence: 99%

Novel numerical inversions of two circular-arc radon transforms in Compton scattering tomography

Rigaud

Nguyen

Louis

2012

Inverse Problems in Science and Engineering

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Compton scattering tomography (CST) is an alternative imaging process which reconstructs, in a two-dimensional slice, the electron density of an object by collecting radiation emitted from an external source and scattered throughout this object. The collected data at specific scattering energies appears essentially as the integral of the electron density on definite families of arcs of circles. Reconstruction of the unknown electron density is achieved by the inversion of the corresponding circular-arcs Radon transforms (CART). We review two existing CST modalities, their corresponding CART and establish their numerical inversion algorithms in the formalism of the so-called circular harmonic decomposition (CHD) for a function. The quality of the reconstructed images is illustrated by numerical simulations on test phantoms. Comparison with standard tomography performances demonstrates the efficiency and interest of this inversion method via CHD in imaging science such as biomedical imaging and non-destructive industrial testing.

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Iterative Reconstruction Methods for Non Uniform Attenuation Distribution in Spect

Cited by 18 publications

References 3 publications

Multicenter Clinical Trial to Evaluate the Efficacy of Correction for Photon Attenuation and Scatter in SPECT Myocardial Perfusion Imaging

Multicenter Clinical Trial to Evaluate the Efficacy of Correction for Photon Attenuation and Scatter in SPECT Myocardial Perfusion Imaging

New bimodal scattered radiation tomographic imaging with attenuation and electron density correction algorithm

Novel numerical inversions of two circular-arc radon transforms in Compton scattering tomography

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