Inverse Monte Carlo: A Unified Reconstruction Algorithm for SPECT

Floyd, Carey E.; Jaszczak, R.J.; Coleman, R. Edward

doi:10.1109/tns.1985.4336940

Cited by 200 publications

(79 citation statements)

References 7 publications

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“…ML-EM). This non-uniform convergence property is further emphasised and demonstrated by Fourier analysis of the ML-EM algorithm [28,29] and successive iterations of inverse Monte Carlo-based reconstructions [25].…”

Section: Statistical Reconstruction-based Scatter Correction (Srbsc)mentioning

confidence: 95%

“…Reconstruction-based scatter compensation has received much attention in the literature during the past decade, and different algorithms belonging to this class of methods have been devised [14,15,25,26]. More recently, we proposed a new technique for scatter correction in 3D PET called statistical reconstruction-based scatter correction (SRBSC) [16].…”

Section: Statistical Reconstruction-based Scatter Correction (Srbsc)mentioning

confidence: 99%

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Comparative evaluation of scatter correction techniques in 3D positron emission tomography

Zaidi

2000

Eur J Nucl Med

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Abstract. Much research and development has been concentrated on the scatter compensation required for quantitative 3D positron emission tomography (PET). Increasingly sophisticated scatter correction procedures are under investigation, particularly those based on accurate scatter models and iterative reconstruction-based scatter compensation approaches. The main difference among the correction methods is the way in which the scatter component in the selected energy window is estimated. Monte Carlo methods provide further insight and might in themselves offer a possible correction procedure. Five scatter correction methods were compared in this study where applicable: the dual-energy window (DEW) technique, the convolution-subtraction (CVS) method, two variants of the Monte Carlo-based scatter correction technique (MCBSC1 and MCBSC2) and our newly developed statistical reconstruction-based scatter correction (SRBSC) method. These scatter correction techniques were evaluated using Monte Carlo simulation studies, experimental phantom measurements and clinical studies. Accurate Monte Carlo modelling is still the gold standard since it allows the separation of scattered and unscattered events and comparison of the estimated and true unscattered component. In this study, our modified version of Monte Carlo-based scatter correction (MCBSC2) provided a good contrast recovery on the simulated Utah phantom, while the DEW method was found to be clearly superior for the experimental phantom studies in terms of quantitative accuracy at the expense of a significant deterioration in the signal-to-noise ratio. On the other hand, the immunity to noise in emission data of statistical reconstruction-based scatter correction methods makes them particularly applicable to low-count emission studies. All scatter correction methods gave very good activity recovery values for the simulated 3D Hoffman brain phantom, which averaged within 3%. The CVS and MCBSC1 techniques tended to overcorrect while SRBSC undercorrected for scatter in most regions of this phantom. It was concluded that all correction methods significantly improve the image quality and contrast compared to the case where no correction is applied. Generally, it was shown that the differences in the estimated scatter distributions did not have a significant impact on the final quantitative results. The DEW method showed the best compromise between ease of implementation and quantitative accuracy, but entailed a significant deterioration in the signal-to-noise ratio.

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Section: Statistical Reconstruction-based Scatter Correction (Srbsc)mentioning

confidence: 95%

Section: Statistical Reconstruction-based Scatter Correction (Srbsc)mentioning

confidence: 99%

Comparative evaluation of scatter correction techniques in 3D positron emission tomography

Zaidi

2000

Eur J Nucl Med

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“…Sometimes, s depends on the estimated activity image, so more accurate scatter correction may be possible by estimating scatter during image reconstruction orŝ =ŝ(f (n) ). This can be implemented by using Monte Carlo (MC) simulations [70][71][72], model-based scatter estimation [32,33], or dual matrix approach [73].…”

Section: Anatomical Information For Attenuation/scatter Correction Mamentioning

confidence: 99%

“…However, in many cases, anatomical information is very important to accurately estimate scatter information along with an estimated activity image. There are many scatter estimation methods that use both anatomical image and activity image such as convolution-subtraction scatter estimation [30,69], MC based scatter estimation [31,34,[70][71][72], model-based scatter approximation [32], and single scatter simulation (SSS) [33]. Figure 1 demonstrates the importance of attenuation/scatter correction using an example of SPECT-CT in I-131 radioimmunotherapy for non-Hodgkin lymphoma.…”

Section: Sources Of Attenuation/scatter Informationmentioning

confidence: 99%

The Use of Anatomical Information for Molecular Image Reconstruction Algorithms: Attenuation/Scatter Correction, Motion Compensation, and Noise Reduction

Chun

2016

Nucl Med Mol Imaging

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PET and SPECT are important tools for providing valuable molecular information about patients to clinicians. Advances in nuclear medicine hardware technologies and statistical image reconstruction algorithms enabled significantly improved image quality. Sequentially or simultaneously acquired anatomical images such as CT and MRI from hybrid scanners are also important ingredients for improving the image quality of PET or SPECT further. High-quality anatomical information has been used and investigated for attenuation and scatter corrections, motion compensation, and noise reduction via post-reconstruction filtering and regularization in inverse problems. In this article, we will review works using anatomical information for molecular image reconstruction algorithms for better image quality by describing mathematical models, discussing sources of anatomical information for different cases, and showing some examples.

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“…This approach is closely related to the method of iterative reconstruction-based scatter compensation (RBSC) Beekman et al, 1993Beekman et al, , 1994Floyd et al, 1995;Welch et al, 1995). Previous research with RBSC has demonstrated that it can provide images with both less bias and reduced noise (Frey et al,, 1992;Kadrmas et al, 1997;Beekman et al, 1997) as compared to subtraction-based scatter compensation methods.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous technetium-99m/thallium-201 SPECT imaging with model-based compensation for cross-contaminating effects

1999

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Simultaneous acquisition of dual-isotope SPECT data offers a number of advantages over separately acquired data; however, simultaneous acquisition can result in cross-contamination between isotopes. In this work we propose and evaluate two frameworks for iterative model-based compensation of cross-contamination in dual-isotope SPECT. The methods were applied to cardiac imaging with Technetium-99m-sestamibi and Thallium-201, and they were compared to a subtraction-based compensation method using a cross-talk estimate obtained from an auxiliary energy window. Monte Carlo simulations were performed to carefully study aspects of bias and noise for the methods, and a torso phantom with cardiac insert was used to evaluate the performance of the methods for experimentally acquired data. The cross-talk compensation methods substantially improved lesion contrast and significantly reduced quantitative errors for simultaneously acquired data. Thallium image normalized mean square error (NMSE) was reduced from 0.522 without cross-talk compensation to as low as 0.052 with model-based cross-talk compensation. This is compared to a NMSE of 0.091 for the subtraction-based compensation method. The application of a preliminary model for crosstalk arising from lead fluorescence x-rays and collimator scatter gave promising results, and the future development of a more accurate model for collimator interactions would likely benefit simultaneous Tc/Tl imaging. Model-based compensation methods provide feasible cross-talk compensation in clinically acceptable times, and they may ultimately make simultaneous dualisotope protocols an effective alternative for many imaging procedures.

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Inverse Monte Carlo: A Unified Reconstruction Algorithm for SPECT

Cited by 200 publications

References 7 publications

Comparative evaluation of scatter correction techniques in 3D positron emission tomography

Comparative evaluation of scatter correction techniques in 3D positron emission tomography

The Use of Anatomical Information for Molecular Image Reconstruction Algorithms: Attenuation/Scatter Correction, Motion Compensation, and Noise Reduction

Simultaneous technetium-99m/thallium-201 SPECT imaging with model-based compensation for cross-contaminating effects

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