Prof. Jing Wang Profile

Prof. Jing Wang

Associate Professor at Univ of Texas Southwestern Medical Ctr

SPIE Involvement:

Author

Publications (36)

Proceedings Article | 1 April 2024 Poster + Paper

ClickSAM: fine-tuning Segment Anything Model using click prompts for ultrasound image segmentation

Aimee Guo, Grace Fei, Hemanth Pasupuleti, Jing Wang

Proceedings Volume 12932, 1293212 (2024) https://doi.org/10.1117/12.3005879

KEYWORDS: Image segmentation, Education and training, Ultrasonography, Medical imaging, Tumor growth modeling, Performance modeling, Image processing, Process modeling, Breast, Tumors

Read Abstract +

Proceedings Article | 13 March 2024 Poster + Paper

Registration of hyperspectral images and mass spectrometry data for the correlation of tissue optical spectra and molecular profiles

Angie Fei, Douglas Strand, Jing Wang

Proceedings Volume 12827, 1282708 (2024) https://doi.org/10.1117/12.3007718

KEYWORDS: Mass spectrometry, Hyperspectral imaging, Tissues, Proteins, Prostate, Image registration, Molecular spectroscopy, Data acquisition, Diseases and disorders, Body composition

Read Abstract +

Proceedings Article | 3 April 2023 Presentation

Real-time liver motion estimation via combined surface imaging and single x-ray imaging using a deep learning-based approach (Surf-X) (Conference Presentation)

Hua-Chieh Shao, Yunxiang Li, Jing Wang, Steve Jiang, You Zhang

Proceedings Volume 12466, 124660O (2023) https://doi.org/10.1117/12.2653987

KEYWORDS: Liver, X-ray imaging, Motion estimation, Motion models, X-rays, Radiotherapy, 3D modeling, X-ray optics, Real time imaging, Optical imaging

Read Abstract +

Proceedings Article | 18 October 2022 Open Access

Gas bubble motion artifact reduction through simultaneous motion estimation and image reconstruction

Kai Wang, Hua-Chieh Shao, You Zhang, Chunjoo Park, Steve Jiang, Jing Wang

Proceedings Volume 12304, 123042D (2022) https://doi.org/10.1117/12.2646410

KEYWORDS: Reconstruction algorithms, Motion estimation, Image restoration, Computed tomography, Image quality, Radiotherapy, 3D image reconstruction, Scattering, Image processing, Computer simulations

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 18 October 2022 Open Access

Real-time liver tumor localization via a single x-ray projection using deep graph network-assisted biomechanical modeling

Hua-Chieh Shao, Jing Wang, You Zhang

Proceedings Volume 12304, 1230410 (2022) https://doi.org/10.1117/12.2646900

KEYWORDS: Liver, Tumors, X-rays, Motion models, X-ray imaging, Feature extraction, Neural networks, Principal component analysis, Network architectures, Real time imaging

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 13 March 2019 Paper

A shell and kernel descriptor based joint deep learning model for predicting breast lesion malignancy

Zhiguo Zhou, Genggeng Qin, Pingkun Yan, Hongxia Hao, Steve Jiang, Jing Wang

Proceedings Volume 10950, 109502S (2019) https://doi.org/10.1117/12.2512277

KEYWORDS: Tumors, Tumor growth modeling, Breast, Digital breast tomosynthesis, Breast cancer, Feature extraction, Tissues, Performance modeling, Process modeling, Optimization (mathematics)

Read Abstract +

Proceedings Article | 1 March 2019 Paper

Incorporating biomechanical modeling and deep learning into a deformation-driven liver CBCT reconstruction technique

You Zhang, Liyuan Chen, Bin Li, Michael Folkert, Xun Jia, Xuejun Gu, Jing Wang

Proceedings Volume 10948, 109482I (2019) https://doi.org/10.1117/12.2512649

KEYWORDS: Liver, Tumors, Computed tomography, Monte Carlo methods, Reconstruction algorithms, Image quality, 3D modeling, Radiotherapy, X-ray computed tomography

Read Abstract +

Proceedings Article | 2 March 2018 Paper

Automatic PET cervical tumor segmentation by deep learning with prior information

Liyuan Chen, Chenyang Shen, Shulong Li, Genevieve Maquilan, Kevin Albuquerque, Michael Folkert, Jing Wang

Proceedings Volume 10574, 1057436 (2018) https://doi.org/10.1117/12.2293926

KEYWORDS: Image segmentation, Tumors, Bladder, Positron emission tomography, Cervix, Convolution, 3D image processing, Convolutional neural networks, Cervical cancer, Neural networks

Read Abstract +

Proceedings Article | 9 March 2017 Paper

A biomechanical modeling guided simultaneous motion estimation and image reconstruction technique (SMEIR-Bio) for 4D-CBCT reconstruction

Xiaokun Huang, You Zhang, Jing Wang

Proceedings Volume 10132, 101322B (2017) https://doi.org/10.1117/12.2254524

KEYWORDS: Reconstruction algorithms, Motion models, Image restoration, Computed tomography, Motion estimation, Lung, Image quality, 3D image processing

Read Abstract +

Proceedings Article | 3 March 2017 Paper

Distant failure prediction for early stage NSCLC by analyzing PET with sparse representation

Hongxia Hao, Zhiguo Zhou, Jing Wang

Proceedings Volume 10134, 101343W (2017) https://doi.org/10.1117/12.2254686

KEYWORDS: Positron emission tomography, Associative arrays, Failure analysis, Radiotherapy, Lung, Tumors, Lung cancer, Medical imaging, Computed tomography, Image classification, Image segmentation

Read Abstract +

Proceedings Article | 1 April 2016 Paper

Direct reconstruction of enhanced signal in computed tomography perfusion

Bin Li, Qingwen Lyu, Jianhua Ma, Jing Wang

Proceedings Volume 9783, 97834L (2016) https://doi.org/10.1117/12.2216998

KEYWORDS: Computed tomography, Image enhancement, CT reconstruction, Image restoration, Reconstruction algorithms, Signal to noise ratio, Physics, X-ray computed tomography, Image quality, X-rays, Brain, Image analysis, Neuroimaging

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

Hessian Schatten-norm regularization for CBCT image reconstruction using fast iterative shrinkage-thresholding algorithm

Xinxin Li, Jiang Wang, Shan Tan

Proceedings Volume 9412, 94123V (2015) https://doi.org/10.1117/12.2082424

KEYWORDS: Reconstruction algorithms, Image restoration, Gold, Computed tomography, Medical imaging, X-rays, Optimization (mathematics), Image quality, Image analysis, Physics

Read Abstract +

Proceedings Article | 18 March 2015 Paper

CBCT reconstruction via a penalty combining total variation and its higher-degree term

Nanbo Sun, Tao Sun, Jing Wang, Shan Tan

Proceedings Volume 9412, 94123T (2015) https://doi.org/10.1117/12.2082445

KEYWORDS: Reconstruction algorithms, 3D image reconstruction, Algorithm development, Sensors, Image processing, X-rays, Cancer, Signal attenuation, 3D image processing, X-ray computed tomography

Read Abstract +

Proceedings Article | 19 March 2014 Paper

An experimental study on the noise correlation properties of CBCT projection data

Hua Zhang, Luo Ouyang, Jianhua Ma, Jing Huang, Wufan Chen, Jing Wang

Proceedings Volume 9033, 90332R (2014) https://doi.org/10.1117/12.2043151

KEYWORDS: Sensors, Data acquisition, Data modeling, Data processing, Imaging systems, X-rays, Reconstruction algorithms, Denoising, Statistical analysis, Image analysis

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

Simultaneous motion estimation and image reconstruction (SMEIR) for 4D cone-beam CT

Jing Wang, Xuejun Gu

Proceedings Volume 9033, 90332N (2014) https://doi.org/10.1117/12.2042281

KEYWORDS: Motion models, Reconstruction algorithms, Image restoration, Tumors, Motion estimation, Image quality, Image enhancement, Computed tomography, Image processing, Model-based design

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 | 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

A moving blocker system for cone-beam computed tomography scatter correction

Luo Ouyang, Kwang Song, Timothy Solberg, Jing Wang

Proceedings Volume 8668, 86681P (2013) https://doi.org/10.1117/12.2008095

KEYWORDS: Imaging systems, Reconstruction algorithms, Computed tomography, X-ray computed tomography, Signal detection, Image restoration, Image quality, Lead, Scatter measurement, X-rays

Read Abstract +

Proceedings Article | 6 March 2013 Paper

Noise reduction for cone-beam SPECT by penalized reweighted least-squares projection restoration

Hao Zhang, Junhai Wen, Donghao Shi, Rui Yang, Jing Wang, Zhengrong Liang

Proceedings Volume 8668, 86685C (2013) https://doi.org/10.1117/12.2007745

KEYWORDS: Single photon emission computed tomography, Signal to noise ratio, Reconstruction algorithms, Signal attenuation, Denoising, Photon counting, CT reconstruction, Tomography, Spatial resolution, Biomedical optics

Read Abstract +

Proceedings Article | 17 March 2011 Paper

A novel noise suppression solution in cone-beam CT images

Yi Fan, Hongbing Lu, Hongbin Zhu, Jing Wang, Qin Lin, Zhengrong Liang

Proceedings Volume 7961, 79613K (2011) https://doi.org/10.1117/12.877870

KEYWORDS: Reconstruction algorithms, Computed tomography, Sensors, Image filtering, Image restoration, X-ray sources, Algorithm development, Algorithms, Medical imaging, Computer simulations

Read Abstract +

Proceedings Article | 16 March 2011 Paper

Scatter correction for cone-beam computed tomography using moving blocker strips

Jing Wang, Weihua Mao, Timothy Solberg

Proceedings Volume 7961, 796125 (2011) https://doi.org/10.1117/12.877718

KEYWORDS: Reconstruction algorithms, X-ray computed tomography, Computed tomography, Signal detection, Monte Carlo methods, X-ray sources, Sensors, Image quality, Data analysis, X-rays

Read Abstract +

Proceedings Article | 23 March 2010 Paper

Accurate determination of the shape and location of metal objects in x-ray computed tomography

Jing Wang, Lei Xing

Proceedings Volume 7622, 76225A (2010) https://doi.org/10.1117/12.844294

KEYWORDS: Metals, Reconstruction algorithms, X-ray computed tomography, Binary data, Tissues, Signal attenuation, Head, Algorithm development, X-rays, Computer simulations

Read Abstract +

Proceedings Article | 22 March 2010 Paper

Metal artifact reduction in computed tomography by constrained optimization

Xiaomeng Zhang, Jing Wang, Lei Xing

Proceedings Volume 7622, 76221T (2010) https://doi.org/10.1117/12.844646

KEYWORDS: Metals, Reconstruction algorithms, Optimization (mathematics), X-ray computed tomography, Computed tomography, Data modeling, Image processing algorithms and systems, Image restoration, Picosecond phenomena, Head

Read Abstract +

Proceedings Article | 14 March 2009 Paper

Implementation of an effective KL domain penalized weighted least-squares sinogram restoration for low-dose CT colonography

Yi Fan, Jing Wang, Hongbing Lu, Zhengrong Liang

Proceedings Volume 7258, 725856 (2009) https://doi.org/10.1117/12.811670

KEYWORDS: Virtual colonoscopy, Computed tomography, X-ray computed tomography, Sensors, X-rays, Cancer, Colorectal cancer, Data acquisition, Statistical analysis, Computer simulations

Read Abstract +

Proceedings Article | 13 March 2009 Paper

Noise correlation in CBCT projection data and its application for noise reduction in low-dose CBCT

Jing Wang, Anwei Chai, Lei Xing

Proceedings Volume 7258, 72582D (2009) https://doi.org/10.1117/12.813891

KEYWORDS: Image quality, Reconstruction algorithms, Computed tomography, Sensors, Denoising, Data modeling, Image restoration, Smoothing, Statistical analysis, Image processing

Read Abstract +

Proceedings Article | 18 March 2008 Paper

Noise properties of low-dose x-ray CT sinogram data in radon space

Jing Wang, Hongbing Lu, Zhengrong Liang, Daria Eremina, Guangxiang Zhang, Su Wang, John Chen, James Manzione

Proceedings Volume 6913, 69131M (2008) https://doi.org/10.1117/12.771153

KEYWORDS: Sensors, X-rays, X-ray computed tomography, Calibration, Scanners, Radon, Statistical analysis, Data acquisition, Computed tomography, Surgery

Read Abstract +

Proceedings Article | 29 March 2007 Paper

A new electronic colon cleansing method for virtual colonoscopy

Lihong Li, Su Wang, Jing Wang, Daria Eremina, Xinzhou Wei, Zhengrong Liang

Proceedings Volume 6511, 65112J (2007) https://doi.org/10.1117/12.710242

KEYWORDS: Colon, Virtual colonoscopy, Expectation maximization algorithms, Computed tomography, Tissues, Bone, Model-based design, Colorectal cancer, Statistical methods, Cancer

Read Abstract +

Proceedings Article | 29 March 2007 Paper

Gain by mixture-based image segmentation for virtual colonoscopy with colonic material tagging

Lihong Li, Su Wang, Zigang Wang, Jing Wang, Hongbing Lu, Zhengrong Liang

Proceedings Volume 6511, 65110V (2007) https://doi.org/10.1117/12.708927

KEYWORDS: Image segmentation, Tissues, Expectation maximization algorithms, Photovoltaics, Colon, Image processing algorithms and systems, Bone, Virtual colonoscopy, Algorithm development, Computed tomography

Read Abstract +

Proceedings Article | 15 March 2006 Paper

Investigation on an EM framework for partial volume image segmentation

Daria Eremina, Xiang Li, Wei Zhu, Jing Wang, Zhengrong Liang

Proceedings Volume 6144, 61444D (2006) https://doi.org/10.1117/12.653843

KEYWORDS: Tissues, Photovoltaics, Image segmentation, Expectation maximization algorithms, Image processing algorithms and systems, Monte Carlo methods, Data modeling, Statistical analysis, Mathematical modeling, Infrared imaging

Read Abstract +

Proceedings Article | 3 March 2006 Paper

Penalized weighted least-squares approach for low-dose x-ray computed tomography

Jing Wang, Tianfang Li, Hongbing Lu, Zhengrong Liang

Proceedings Volume 6142, 614247 (2006) https://doi.org/10.1117/12.653903

KEYWORDS: Image restoration, X-ray computed tomography, Sensors, Computed tomography, Reconstruction algorithms, Denoising, Image filtering, Image resolution, CT reconstruction, Radon transform

Read Abstract +

Proceedings Article | 2 March 2006 Paper

Noise reduction for low-dose helical CT by 3D penalized weighted least-squares sinogram smoothing

Jing Wang, Tianfang Li, Hongbing Lu, Zhengrong Liang

Proceedings Volume 6142, 61424E (2006) https://doi.org/10.1117/12.653844

KEYWORDS: Smoothing, Denoising, 3D image reconstruction, X-rays, Algorithm development, Reconstruction algorithms, Sensors, X-ray computed tomography, Head, Statistical analysis

Read Abstract +

Proceedings Article | 29 April 2005 Paper

Sinogram noise reduction for low-dose CT by statistics-based nonlinear filters

Jing Wang, Hongbing Lu, Tianfang Li, Zhengrong Liang

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.595662

KEYWORDS: Nonlinear filtering, Anisotropic filtering, Image filtering, Anisotropic diffusion, Computed tomography, Linear filtering, Diffusion, Denoising, Gaussian filters, Signal to noise ratio

Read Abstract +

Proceedings Article | 12 May 2004 Paper

SNR-weighted sinogram smoothing with improved noise-resolution properties for low-dose x-ray computed tomography

Tianfang Li, Jing Wang, Junhai Wen, Xiang Li, Hongbing Lu, Jiang Hsieh, Zhengrong Liang

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.535560

KEYWORDS: Signal to noise ratio, X-ray computed tomography, Data modeling, X-rays, Sensors, Smoothing, Calibration, Linear filtering, Image filtering, Scanners

Read Abstract +

Proceedings Article | 27 February 2004 Paper

Multistage pulse code modulation for progressive spectral signature coding

Chein-I Chang, Jing Wang, Francis D'Amico, James Jensen

Proceedings Volume 5268, (2004) https://doi.org/10.1117/12.518550

KEYWORDS: Signal to noise ratio, Modulation, Hyperspectral imaging, Image compression, Quantization, Computer programming, Reflectivity, Signal processing, Edge detection, Binary data

Read Abstract +

Showing 5 of 36 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