Accelerated Direct Reconstruction of PET Parametric Images using Augmented Lagrangian Optimization

Wang, Guobao ;   Qi, Jinyi

Tags Nuclear imaging (e.g. PET, SPECT)Image reconstruction - analytical & iterative methods

Direct estimation of physiologically or biochemically important parameters from raw projection data is challenging in dynamic positron emission...

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Compensation of Acquisition Variations in Respiratory-Gated SPECT with Joint Statistical Reconstruction

Qi, Wenyuan ;   Yang, Yongyi ;   Wernick, Miles ;   Pretorius, Hendrik ;   King, Michael A

Tags Nuclear imaging (e.g. PET, SPECT)HeartImage reconstruction - analytical & iterative methods

In respiratory-gated cardiac SPECT with amplitude binning, the acquired data counts can vary greatly both between respiratory gates and...

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Direct Estimation from List-Mode Data for Reversible Tracers using Graphical Modeling

Zhu, Wentao ;   Guo, Ning ;   Bai, Bing ;   Conti, Peter ;   Leahy, Richard ;   Li, Quanzheng

Tags Nuclear imaging (e.g. PET, SPECT)Image reconstruction - analytical & iterative methods

We propose a novel method to directly estimate parametric images from listmode PET data for reversible tracers based on an inhomogeneous...

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Highly Precise Partial Volume Correction for PET Images: An Iterative Approach via Shape Consistency

Xu, Ziyue ;   Bagci, Ulas ;   Gao, Mingchen ;   Mollura, Daniel J.

Tags Nuclear imaging (e.g. PET, SPECT)Image enhancement/restoration(noise and artifact reduction)Image segmentation

Positron emission tomography (PET) is capable of capturing the functional information. A major limitation for PET imaging is the low spatial...

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Theoretical Analysis of Lesion Detectability in Penalized Maximum-Likelihood Patlak Parametric Image Reconstruction using Dynamic PET

Yang, Li ;   Wang, Guobao ;   Qi, Jinyi

Tags Image reconstruction - analytical & iterative methodsImage quality assessmentNuclear imaging (e.g. PET, SPECT)

Detecting cancerous lesion is a major clinical application in emission tomography. In previous work, we have studied penalized maximum-likelihood...

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