Statistical approaches in quantitative positron emission tomography
Positron emission tomography is a medical imaging modality for producing 3D images of the
spatial distribution of biochemical tracers within the human body. The images are …
spatial distribution of biochemical tracers within the human body. The images are …
[HTML][HTML] Quantitative statistical methods for image quality assessment
Quantitative measures of image quality and reliability are critical for both qualitative
interpretation and quantitative analysis of medical images. While, in theory, it is possible to …
interpretation and quantitative analysis of medical images. While, in theory, it is possible to …
Attenuation compensation for cardiac single-photon emission computed tomographic imaging: Part 2. Attenuation compensation algorithms
Attenuation is believed to be one of the major causes of false-positive cardiac single-photon
emission computed tomographic perfusion images. This article provides an introduction to …
emission computed tomographic perfusion images. This article provides an introduction to …
Task‐based detectability in CT image reconstruction by filtered backprojection and penalized likelihood estimation
Purpose: Nonstationarity is an important aspect of imaging performance in CT and cone‐
beam CT (CBCT), especially for systems employing iterative reconstruction. This work …
beam CT (CBCT), especially for systems employing iterative reconstruction. This work …
Noise properties of filtered-backprojection and ML-EM reconstructed emission tomographic images
DW Wilson, BMW Tsui - IEEE transactions on nuclear science, 1993 - ieeexplore.ieee.org
Noise properties of emission tomographic reconstructed images are compared using
maximum-likelihood-expectation-maximization (ML-EM) and filtered-backprojection (FBP) …
maximum-likelihood-expectation-maximization (ML-EM) and filtered-backprojection (FBP) …
Penalized maximum likelihood reconstruction for improved microcalcification detection in breast tomosynthesis
M Das, HC Gifford, JM O'Connor… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
We examined the application of an iterative penalized maximum likelihood (PML)
reconstruction method for improved detectability of microcalcifications (MCs) in digital breast …
reconstruction method for improved detectability of microcalcifications (MCs) in digital breast …
Performance evaluation of filtered backprojection reconstruction and iterative reconstruction methods for PET images
The filtered backprojection (FBP) algorithm and statistical model based iterative algorithms
such as the maximum likelihood (ML) reconstruction or the maximum a posteriori (MAP) …
such as the maximum likelihood (ML) reconstruction or the maximum a posteriori (MAP) …
Reconstruction of two-and three-dimensional images from synthetic-collimator data
DW Wilson, HH Barrett… - IEEE transactions on …, 2000 - ieeexplore.ieee.org
A novel SPECT collimation method, termed the synthetic collimator, is proposed. The
synthetic collimator employs a multiple-pinhole aperture and a high-resolution detector. The …
synthetic collimator employs a multiple-pinhole aperture and a high-resolution detector. The …
Theoretical study of lesion detectability of MAP reconstruction using computer observers
J Qi, RH Huesman - IEEE transactions on medical imaging, 2001 - ieeexplore.ieee.org
The low signal-to-noise ratio (SNR) in emission data has stimulated the development of
statistical image reconstruction methods based on the maximum a posteriori (MAP) …
statistical image reconstruction methods based on the maximum a posteriori (MAP) …
Analysis of stopping criteria for the EM algorithm in the context of patient grouping according to length of stay
R Abbi, E El-Darzi, C Vasilakis… - 2008 4th International …, 2008 - ieeexplore.ieee.org
The expectation maximisation (EM) algorithm is an iterative maximum likelihood procedure
often used for estimating the parameters of a mixture model. Theoretically, increases in the …
often used for estimating the parameters of a mixture model. Theoretically, increases in the …