Prof. Jinyi Qi Profile

Prof. Jinyi Qi

at Univ of California Davis

SPIE Involvement:

Conference Program Committee | Author

Publications (17)

Proceedings Article | 28 May 2019 Paper

Motion correction of respiratory-gated PET image using deep learning based image registration framework

Tiantian Li, Mengxi Zhang, Wenyuan Qi, Evren Asma, Jinyi Qi

Proc. SPIE. 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine

KEYWORDS: Image restoration, Image analysis, Image registration, Data acquisition, Monte Carlo methods, Image quality, Neural networks, Reconstruction algorithms, Positron emission tomography, Motion estimation

Read Abstract +

Proceedings Article | 28 May 2019 Paper

Direct patlak reconstruction from dynamic PET using unsupervised deep learning

Kuang Gong, Ciprian Catana, Jinyi Qi, Quanzheng Li

Proc. SPIE. 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine

KEYWORDS: Data modeling, Blood, Magnetic resonance imaging, Medical imaging, Neural networks, Convolution, Reconstruction algorithms, Positron emission tomography, Expectation maximization algorithms

Read Abstract +

Proceedings Article | 28 May 2019 Paper

Low-dose CT image denoising without high-dose reference images

Nimu Yuan, Jian Zhou, Jinyi Qi

Proc. SPIE. 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine

KEYWORDS: Signal to noise ratio, X-ray computed tomography, Data modeling, Denoising, Medical research, Neural networks, Computed tomography, Image denoising

Read Abstract +

Proceedings Article | 28 May 2019 Paper

Generative adversarial networks based regularized image reconstruction for PET

Zhaoheng Xie, Reheman Baikejiang, Kuang Gong, Xuezhu Zhang, Jinyi Qi

Proc. SPIE. 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine

KEYWORDS: Denoising, Image restoration, Image quality, Neural networks, Computed tomography, Reconstruction algorithms, Positron emission tomography

Read Abstract +

Proceedings Article | 1 March 2019 Presentation + Paper

Low-dose CT count-domain denoising via convolutional neural network with filter loss

Nimu Yuan, Jian Zhou, Kuang Gong, Jinyi Qi

Proc. SPIE. 10948, Medical Imaging 2019: Physics of Medical Imaging

KEYWORDS: X-ray computed tomography, Convolutional neural networks, Denoising, Distance measurement, Computed tomography, Reconstruction algorithms, Network architectures

Read Abstract +

Proceedings Article | 9 March 2017 Presentation + Paper

Nonlinear PET parametric image reconstruction with MRI information using kernel method

Kuang Gong, Guobao Wang, Kevin Chen, Ciprian Catana, Jinyi Qi

Proc. SPIE. 10132, Medical Imaging 2017: Physics of Medical Imaging

KEYWORDS: Signal to noise ratio, Neurology, Oncology, Tumors, Tissues, Blood, Magnetic resonance imaging, Image restoration, Image quality, Functional imaging, Image filtering, Machine learning, Reconstruction algorithms, Spatial resolution, Positron emission tomography

Read Abstract +

Proceedings Article | 9 March 2017 Paper

Dynamic PET Image reconstruction for parametric imaging using the HYPR kernel method

Benjamin Spencer, Jinyi Qi, Ramsey Badawi, Guobao Wang

Proc. SPIE. 10132, Medical Imaging 2017: Physics of Medical Imaging

KEYWORDS: CT reconstruction, Data modeling, Denoising, Image quality, Machine learning, Reconstruction algorithms, Image denoising, Positron emission tomography

Read Abstract +

SPIE Journal Paper | 8 December 2014

Evaluation of penalty design in penalized maximum-likelihood image reconstruction for lesion detection

Li Yang, Andrea Ferrero, Rosalie Hagge, Ramsey Badawi, Jinyi Qi

JMI Vol. 1 Issue 03

KEYWORDS: Signal to noise ratio, Image restoration, Monte Carlo methods, Reconstruction algorithms, 3D image processing, Positron emission tomography, Tumors, Computer simulations, Fourier transforms, Tomography

Read Abstract +

Proceedings Article | 11 March 2014 Paper

Evaluation of penalty design in penalized maximum-likelihood image reconstruction for lesion detection

Li Yang, Andrea Ferrero, Rosalie Hagge, Ramsey Badawi, Jinyi Qi

Proc. SPIE. 9037, Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment

KEYWORDS: Signal to noise ratio, Tumors, Image restoration, Computer simulations, Tomography, Monte Carlo methods, Image quality, Positron emission tomography, 3D vision, 3D image processing

Read Abstract +

Proceedings Article | 4 March 2014 Paper

Bi-modal imaging of atherosclerotic plaques: Automated method for co-registration between fluorescence lifetime imaging and intravascular ultrasound data

Dimitris Gorpas, Hussain Fatakdawala, Julien Bec, Dinglong Ma, Diego Yankelevich, John Bishop, Jinyi Qi, Laura Marcu

Proc. SPIE. 8926, Photonic Therapeutics and Diagnostics X

KEYWORDS: Image segmentation, Image processing, Luminescence, Image restoration, Arteries, Image registration, Data acquisition, Image filtering, Intravascular ultrasound, Fluorescence lifetime imaging

Read Abstract +

Proceedings Article | 17 March 2011 Paper

Fast iterative image reconstruction using sparse matrix factorization with GPU acceleration

Jian Zhou, Jinyi Qi

Proc. SPIE. 7961, Medical Imaging 2011: Physics of Medical Imaging

KEYWORDS: Optical spheres, Imaging systems, Sensors, Matrices, X-rays, Image restoration, Computing systems, Projection systems, Error control coding, Systems modeling

Read Abstract +

Proceedings Article | 13 March 2009 Paper

Direct reconstruction of PET receptor binding parametric images using a simplified reference tissue model

Guobao Wang, Jinyi Qi

Proc. SPIE. 7258, Medical Imaging 2009: Physics of Medical Imaging

KEYWORDS: Thalamus, Data modeling, Tissues, Blood, Image restoration, Computer simulations, Receptors, Reconstruction algorithms, Positron emission tomography, Plasma

Read Abstract +

Proceedings Article | 28 February 2007 Paper

High-resolution image reconstruction for PET using estimated detector response functions

Michel Tohme, Jinyi Qi

Proc. SPIE. 6498, Computational Imaging V

KEYWORDS: Sensors, Scanners, Image restoration, Computing systems, Data acquisition, Monte Carlo methods, Image quality, Reconstruction algorithms, Positron emission tomography, Systems modeling

Read Abstract +

Proceedings Article | 4 May 2004 Paper

Fast approach to evaluate MAP reconstruction for lesion detection and localization

Jinyi Qi, Ronald Huesman

Proc. SPIE. 5372, Medical Imaging 2004: Image Perception, Observer Performance, and Technology Assessment

KEYWORDS: Data modeling, Computer simulations, Tomography, Monte Carlo methods, Convolution, Reconstruction algorithms, Analytical research, Tolerancing, Positron emission tomography, Expectation maximization algorithms

Read Abstract +

Proceedings Article | 1 July 2003 Paper

Optimization of Bayesian emission tomographic reconstruction for region-of-interest quantitation

Jinyi Qi

Proc. SPIE. 5016, Computational Imaging

KEYWORDS: Fourier transforms, Image resolution, Tomography, Monte Carlo methods, Solids, Smoothing, Reconstruction algorithms, Single photon emission computed tomography, Positron emission tomography, Expectation maximization algorithms

Read Abstract +

Proceedings Article | 21 May 1999 Paper

Fast computation of the covariance of MAP reconstructions of PET images

Jinyi Qi, Richard Leahy

Proc. SPIE. 3661, Medical Imaging 1999: Image Processing

KEYWORDS: Statistical analysis, Data modeling, Signal attenuation, Fourier transforms, Monte Carlo methods, Positron emission tomography, Expectation maximization algorithms, Brain mapping, Tin, Brain

Read Abstract +

Proceedings Article | 24 June 1998 Paper

Study of lesion contrast recovery for statistical PET image reconstruction with accurate system models

Ching-Han Hsu, Jinyi Qi

Proc. SPIE. 3338, Medical Imaging 1998: Image Processing

KEYWORDS: Data modeling, Sensors, Signal attenuation, Image restoration, Reconstruction algorithms, Error control coding, Positron emission tomography, Statistical modeling, Systems modeling, Expectation maximization algorithms

Read Abstract +