Search Results - "Anderson, J.M.M."

Concurrent Segmentation and Estimation of Transmission Images for Attenuation Correction in Positron Emission Tomography by Anderson, J.M.M., Yoon-Chul Kim, Votaw, J.R.

“…When transmission images are obtained using conventional reconstruction methods in stand alone PET scanners, such as standard clinical PET, microPET, and…”
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Regularized image reconstruction algorithms for positron emission tomography by Ji-Ho Chang, Anderson, J.M.M., Votaw, J.R.

“…We develop algorithms for obtaining regularized estimates of emission means in positron emission tomography. The first algorithm iteratively minimizes a…”
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Improved Poisson intensity estimation: denoising application using Poisson data by Lu, H., Kim, Y., Anderson, J.M.M.

“…Recently, Timmermann and Nowak (1999) developed algorithms for estimating the means of independent Poisson random variables. The algorithms are based on a…”
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An Accelerated Penalized Maximum Likelihood Algorithm for Positron Emission Tomography by Ji-Ho Chang, Anderson, J.M.M., Mair, B.A.

“…We develop a "fast" algorithm for obtaining regularized estimates of emission means in positron emission tomography (PET). The algorithm, which iteratively…”
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Accelerated penalized weighted least-squares and maximum likelihood algorithms for reconstructing transmission images from PET transmission data by Anderson, J.M.M., Srinivasan, R., Mair, B.A., Votaw, J.R.

“…We present penalized weighted least-squares (PWLS) and penalized maximum-likelihood (PML) methods for reconstructing transmission images from positron emission…”
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Weighted least-squares reconstruction methods for positron emission tomography by Anderson, J.M.M., Mair, B.A., Rao, M., Wu, C.-H.

“…We present unpenalized and penalized weighted least-squares (WLS) reconstruction methods for positron emission tomography (PET), where the weights are based on…”
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Hidden Markov model based attenuation correction for positron emission tomography by Anderson, J.M.M., Srinivasan, R., Mair, B.A., Votaw, J.

“…In this paper, we present a new algorithm for segmenting short-duration transmission images in positron emission tomography (PET). Additionally, we show how…”
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Matched filtering-based estimation of ground elevation using laser altimetry by Anderson, J.M.M., Qatshan, A.S.A.

“…The authors present a method for determining the time-of-arrival (TOA) of the ground component of a laser altimetry return signal. The proposed method takes…”
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Harmonic retrieval using higher order statistics: a deterministic formulation by Anderson, J.M.M., Giannakis, G.B., Swami, A.

“…Given a single record, the authors consider the problem of estimating the parameters of a harmonic signal buried in noise. The observed data are modeled as a…”
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Image motion estimation algorithms using cumulants by Anderson, J.M.M., Giannakis, G.B.

“…A class of algorithms is presented that estimates the displacement vector from two successive image frames consisting of signal plus noise. In the model, the…”
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Maximum likelihood estimation of detector efficiencies in positron emission tomography by Wen-Hsiung Lee, Anderson, J.M.M., Votaw, J.R.

“…In this paper, we introduce a maximum-likelihood (ML) method for estimating detector efficiencies in positron emission tomography. First, we develop a Poisson…”
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Segmentation based WLS and ML attenuation correction methods for positron emission tomography by Srinivasan, R., Anderson, J.M.M., Mair, B.A., Votaw, J.

“…In this paper, we present weighted least-squares (WLS) and maximum likelihood (ML) algorithms for reconstructing transmission images from positron emission…”
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Nonlinear system identification using a Hammerstein model and a cumulant-based Steiglitz-McBride algorithm by Anderson, J.M.M.

“…In this paper, we address the problem of estimating the parameters of a Hammerstein model. Hammerstein models, which consist of a nonlinear memoryless gain…”
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Noisy input/output system identification using cumulants and the Steiglitz-McBride algorithm by Anderson, J.M.M., Giannakis, G.B.

“…We consider the problem of identifying a linear, time-invariant system from its noisy input/output data. The input and output are assumed to be non-Gaussian,…”
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Image reconstruction of PET images using denoised data by Lu, H., Anderson, J.M.M.

“…In this paper, we propose a reconstruction methodology where PET data are post-processed using Poisson denoising algorithms developed by Timmermann and Nowak…”
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Attenuation correction for PET using a hidden Markov model based segmentation method by Anderson, J.M.M., Mair, B.A., Rao, M.

“…Presents an attenuation correction method where attenuation images are first segmented and then attenuation density values are assigned to the various regions…”
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Maximum likelihood image reconstruction in positron emission tomography using subgradient projections algorithms by Wang, Y., Anderson, J.M.M., Mair, B.A.

“…In this paper, we present novel maximum likelihood reconstruction algorithms for positron emission tomography (PET). The key idea behind the algorithms is that…”
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Noise Insensitive 2-D Harmonic Retrieval Using Cumulants by Anderson, J.M.M., Giannakis, G.B.

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2-D single record harmonic retrieval using higher-order statistics by Anderson, J.M.M.

“…Given a single record, we consider the problem of estimating the harmonics of a 2-D signal corrupted by Gaussian noise. Our method utilizes higher-order…”
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Maximum likelihood estimation of sinusoidal parameters using a global optimization algorithm by Edmonson, W.W., Lee, W.H., Anderson, J.M.M.

“…We address the problem of determining maximum likelihood (ML) estimates of sinusoidal parameters. Our approach is to use an interval method, a global…”
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