Dr. Yan Liu Profile

Dr. Yan Liu

Scientist at Canon Medical Research USA Inc

SPIE Involvement:

Author

Publications (14)

Proceedings Article | 9 March 2018 Paper

Optimization-based design for artifact reduction in advanced diagnostic CT

Dan Xia, Yan Liu, Zhou Yu, Buxin Chen, Richard Thompson, Emil Sidky, Xiaochuan Pan

Proceedings Volume 10573, 105734A (2018) https://doi.org/10.1117/12.2292054

KEYWORDS: Reconstruction algorithms, Diagnostics, Image restoration, Computed tomography, Data modeling, Optimization (mathematics), Detection and tracking algorithms, Sensors, Scanners, Head

Read Abstract +

Proceedings Article | 30 March 2016 Paper

Texture-preserving Bayesian image reconstruction for low-dose CT

Hao Zhang, Hao Han, Yifan Hu, Yan Liu, Jianhua Ma, Lihong Li, William Moore, Zhengrong Liang

Proceedings Volume 9783, 97834I (2016) https://doi.org/10.1117/12.2217297

KEYWORDS: CT reconstruction, X-ray computed tomography, Lung, Colon, X-ray imaging, X-rays, Tissues, Reconstruction algorithms, Bone, Computed tomography

Read Abstract +

Proceedings Article | 30 March 2016 Paper

A new look at signal sparsity paradigm for low-dose computed tomography image reconstruction

Yan Liu, Hao Zhang, William Moore, Zhengrong Liang

Proceedings Volume 9783, 97834H (2016) https://doi.org/10.1117/12.2216536

KEYWORDS: Computed tomography, Image restoration, CT reconstruction, Televisions, Tissues, Electronic filtering, Lung, Single photon emission computed tomography, Positron emission tomography, Optical coherence tomography, Image quality, Reconstruction algorithms, Diagnostics, Medical imaging

Read Abstract +

Proceedings Article | 18 March 2015 Paper

Adaptive nonlocal means-based regularization for statistical image reconstruction of low-dose X-ray CT

Hao Zhang, Jianhua Ma, Jing Wang, Yan Liu, Hao Han, Lihong Li, William Moore, Zhengrong Liang

Proceedings Volume 9412, 94123K (2015) https://doi.org/10.1117/12.2082244

KEYWORDS: Image filtering, X-ray computed tomography, Image restoration, X-rays, X-ray imaging, Data acquisition, CT reconstruction, Computed tomography, Scanners, Denoising

Read Abstract +

Proceedings Article | 18 March 2015 Paper

Impact of covariance modeling in dual-energy spectral CT image reconstruction

Yan Liu, Zhou Yu, Yu Zou

Proceedings Volume 9412, 94123Q (2015) https://doi.org/10.1117/12.2082000

KEYWORDS: Surface plasmons, Image quality, Reconstruction algorithms, Computed tomography, CT reconstruction, Signal attenuation, Spectral models, Data modeling, Statistical modeling, Image analysis

Read Abstract +

Proceedings Article | 18 March 2015 Paper

A clinical evaluation of total variation-Stokes image reconstruction strategy for low-dose CT imaging of the chest

Yan Liu, Hao Zhang, William Moore, Priya Bhattacharji, Zhengrong Liang

Proceedings Volume 9412, 94123S (2015) https://doi.org/10.1117/12.2081614

KEYWORDS: Televisions, Lung, Image quality, Computed tomography, Tissues, Denoising, Chest, Diagnostics, Image restoration, Data acquisition

Read Abstract +

Proceedings Article | 19 March 2014 Paper

Nonlocal means-based regularizations for statistical CT reconstruction

Hao Zhang, Jianhua Ma, Yan Liu, Hao Han, Lihong Li, Jing Wang, Zhengrong Liang

Proceedings Volume 9033, 903337 (2014) https://doi.org/10.1117/12.2043949

KEYWORDS: CT reconstruction, Reconstruction algorithms, Data modeling, Image quality, Denoising, Image filtering, Computed tomography, Image resolution, X-rays, Control systems

Read Abstract +

Proceedings Article | 19 March 2014 Paper

Noise study on cone-beam CT FDK image reconstruction by improved area-simulating-volume technique

Yan Liu, Jin Wang, Hao Zhang, Yi Fan, Zhengrong Liang

Proceedings Volume 9033, 903339 (2014) https://doi.org/10.1117/12.2043721

KEYWORDS: Sensors, Detection and tracking algorithms, Reconstruction algorithms, Image restoration, X-rays, Algorithms, X-ray computed tomography, Digital imaging, 3D image reconstruction, Lithium

Read Abstract +

Proceedings Article | 19 March 2014 Paper

LBP-based penalized weighted least-squares approach to low-dose cone-beam computed tomography reconstruction

Ming Ma, Huafeng Wang, Yan Liu, Hao Zhang, Xianfeng Gu, Zhengrong Liang

Proceedings Volume 9033, 903336 (2014) https://doi.org/10.1117/12.2043289

KEYWORDS: Reconstruction algorithms, Image restoration, Diffusion, Binary data, X-rays, Computed tomography, Image quality, CT reconstruction, X-ray computed tomography, Algorithm development

Read Abstract +

Proceedings Article | 6 March 2013 Paper

A comparison study of sinogram- and image-domain penalized re-weighted least-squares approaches to noise reduction for low-dose cone-beam CT

Hao Zhang, Yan Liu, Hao Han, Jing Wang, Jianhua Ma, Lihong Li, Zhengrong Liang

Proceedings Volume 8668, 86683E (2013) https://doi.org/10.1117/12.2007111

KEYWORDS: Image restoration, Reconstruction algorithms, X-ray computed tomography, Denoising, X-rays, 3D image reconstruction, Image resolution, Image quality, CT reconstruction, Head

Read Abstract +

Reducing X-ray exposure to the patients is one of the major research efforts in the computed tomography (CT) field, and one of the common strategies to achieve it is to lower the mAs setting (by lowering the X-ray tube current and/or shortening the exposure time) in currently available CT scanners. However, the image quality from low mAs acquisition is severely degraded due to excessive quantum noise, if no adequate noise control is applied during image reconstruction. Different from filter-based algorithms, statistical reconstruction algorithms model the statistical property of the noise using a cost function and minimize the cost function for an optimal solution in statistical sense. The algorithms have shown to be feasible and effective in both sinogram and image domain. In our previous researches, we proposed penalized reweighted least-squares (PRWLS) approaches to sinogram noise reduction and image reconstruction for low-dose CT imaging, which are in this statistical category. This work is a continuation of the research along this direction and aims to compare the reconstruction quality of two different PRWLS implementations for low-dose cone-beam CT reconstruction: (1) PRWLS sinogram restoration followed by analytical Feldkamp-Davis- Kress reconstruction, (2) fully iterative PRWLS image reconstruction. Inspired by our recent study on the variance of low-mAs projection data in presence of electric noise background, a more accurate weight was adopted in the weighted least-squares term. An anisotropic quadratic form penalty was utilized in both PRWLS implementations to preserve edges during noise reduction. Experiments using the CatPhan® 600 phantom and anthropomorphic head phantom were carried to study the relevant performance of these two implementations on image reconstruction. The results revealed that the implementation (2) can outperform implementation (1) in terms of noise-resolution tradeoff measurement and analysis of the reconstructed small objects due to its matched image edge-preserved penalty in the image domain. However, those gains are offset by the cost of increased computational time. Thus, further examination of real patient data is necessary to show the clinical significance of the iterative PRWLS image reconstruction over the PRWLS sinogram restoration.

Proceedings Article | 6 March 2013 Paper

TV-Stokes strategy for sparse-view CT image reconstruction

Yan Liu, Lin Chen, Hao Zhang, Ke Wang, Jianhua Ma, Zhengrong Liang

Proceedings Volume 8668, 86683D (2013) https://doi.org/10.1117/12.2006957

KEYWORDS: Televisions, CT reconstruction, Computed tomography, Neuroimaging, Brain, Image restoration, Image resolution, Data acquisition, Scanners, Image analysis

Read Abstract +

Proceedings Article | 3 March 2012 Paper

Noise reduction for helical computed tomography using coupled projections

Yi Fan, Jianhua Ma, Yan Liu, Hongbing Lu, Zhengrong Liang

Proceedings Volume 8313, 83132C (2012) https://doi.org/10.1117/12.911125

KEYWORDS: Computed tomography, Denoising, X-rays, Computer simulations, Virtual colonoscopy, X-ray computed tomography, Sensors, Biomedical optics, Biomedical engineering, CT reconstruction

Read Abstract +

Proceedings Article | 3 March 2012 Paper

Low-dose computed tomography image reconstruction from under-sampling data based on weighted total variation minimization

Yan Liu, Jianhua Ma, Yi Fan, Zhengrong Liang

Proceedings Volume 8313, 83133H (2012) https://doi.org/10.1117/12.911337

KEYWORDS: Signal to noise ratio, Reconstruction algorithms, CT reconstruction, Image restoration, Computed tomography, Computer simulations, Data modeling, Medical imaging, Interference (communication), Image quality

Read Abstract +

Proceedings Article | 3 March 2012 Paper

Variance estimation of x-ray CT sinogram in radon domain

Jianhua Ma, Zhengrong Liang, Yi Fan, Yan Liu, Jing Huang, Lihong Li, Wufan Chen, Hongbing Lu

Proceedings Volume 8313, 83132G (2012) https://doi.org/10.1117/12.911669

KEYWORDS: Sensors, X-ray computed tomography, X-rays, Interference (communication), Radon, Statistical analysis, Signal detection, Image quality, Scanners, Image restoration

Read Abstract +

Showing 5 of 14 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years