A Monte Carlo correction for the effect of Compton scattering in 3-D PET brain imaging

Levin, C.S.; Dahlbom, Magnus; Hoffman, Edward J.

doi:10.1109/23.467880

Cited by 115 publications

(55 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A technique based on Monte-Carlo modeling of the imaging system, together with activity and attenuation distributions, has also been proposed [38]. Using this method, the history of each generated photon is followed and a scattered coincidence distribution is determined.…”

Section: Object-scattered Eventsmentioning

confidence: 99%

Study of a high-resolution PET system using a Silicon detector probe

et al. 2014

View full text Add to dashboard Cite

A high-resolution silicon detector probe, in coincidence with a conventional PET scanner, is expected to provide images of higher quality than those achievable using the scanner alone. Spatial resolution should improve due to the finer pixelization of the probe detector, while increased sensitivity in the probe vicinity is expected to decrease noise. A PET-probe prototype is being developed utilizing this principle. The system includes a probe consisting of ten layers of silicon detectors, each a 80 × 52 array of 1 × 1 × 1 mm 3 pixels, to be operated in coincidence with a modern clinical PET scanner. Detailed simulation studies of this system have been performed to assess the effect of the additional probe information on the quality of the reconstructed images. A grid of point sources was simulated to study the contribution of the probe to the system resolution at different locations over the field of view (FOV). A resolution phantom was used to demonstrate the effect on image resolution for two probe positions. A homogeneous source distribution with hot and cold regions was used to demonstrate that the localized improvement in resolution does not come at the expense of the overall quality of the image. Since the improvement is constrained to an area close to the probe, breast imaging is proposed as a potential application for the novel geometry. In this sense, a simplified breast phantom, adjacent to heart and torso compartments, was simulated and the effect of the probe on lesion detectability, through measurements of the local contrast recovery coefficient-to-noise ratio (CNR), was observed. The list-mode ML-EM algorithm was used for image reconstruction in all cases. As expected, the point spread function of the PETprobe system was found to be non-isotropic and vary with position, offering improvement in specific regions. Increase in resolution, of factors of up to Institute of Physics and Engineering in Medicine

show abstract

Section: Object-scattered Eventsmentioning

confidence: 99%

Study of a high-resolution PET system using a Silicon detector probe

et al. 2014

View full text Add to dashboard Cite

show abstract

“…For conventional PET systems, a scatter sinogram can be estimated using the convolution method [4], the hardware dual energy windows method [8], the Monte Carlo simulation method [9], and analytical methods [10,11]. Among these methods, the Monte Carlo simulation can model multiple scatters and various effects in the photon detection process.…”

Section: Estimate Mean Scatter Sinogram Using Monte Carlo Simulationmentioning

confidence: 99%

Scatter correction for positron emission mammography

Huesman

2002

Phys. Med. Biol.

View full text Add to dashboard Cite

Abstract. In this paper we present a scatter correction method for a regularized list mode maximum likelihood reconstruction algorithm for the positron emission mammograph (PEM) that is being developed at our laboratory. The scatter events inside the object are modeled as additive Poisson random variables in the forward model of the reconstruction algorithm. The mean scatter sinogram is estimated using a Monte Carlo simulation program. With the assumption that the background activity is nearly uniform, the Monte Carlo scatter simulation only needs to run once for each PEM configuration. This saves computational time. The crystal scatters are modeled as a shift-invariant blurring in image domain because they are more localized. Thus, the useful information in the crystal scatters can be deconvolved in high-resolution reconstructions. The propagation of the noise from the estimated scatter sinogram into the reconstruction is analyzed theoretically. The results provide an easy way to calculate the required number of events in the Monte Carlo scatter simulation for a given noise level in the image. The analysis is also applicable to other scatter estimation methods, provided that the covariance of the estimated scatter sinogram is available.

show abstract

“…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%

“…Attenuation correction methods have been investigated using CT [19,[23][24][25][26] or MR [27][28][29]. Scatter correction methods have also been studied in [30][31][32][33][34]. More recently, using the fact that molecular and anatomical images are affected by the same motion, motion correction for emission tomography has been investigated.…”

Section: Introductionmentioning

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

View full text Add to dashboard Cite

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.

show abstract

A Monte Carlo correction for the effect of Compton scattering in 3-D PET brain imaging

Cited by 115 publications

References 11 publications

Study of a high-resolution PET system using a Silicon detector probe

Study of a high-resolution PET system using a Silicon detector probe

Scatter correction for positron emission mammography

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

Contact Info

Product

Resources

About