Dr. Jie Tang Profile

Dr. Jie Tang

at GE Healthcare

SPIE Involvement:

Author

Publications (27)

Proceedings Article | 18 October 2022 Open Access

Open Access

Paper

Design of novel loss functions for deep learning in x-ray CT

Obaidullah Rahman, Ken Sauer, Madhuri Nagare, Charles Bouman, Roman Melnyk, Jie Tang, Brian Nett

Proceedings Volume 12304, 123042S (2022) https://doi.org/10.1117/12.2646473

KEYWORDS: Signal attenuation, X-ray computed tomography, Error analysis, X-rays, Linear filtering, Spatial frequencies, Image quality, Electronic filtering, Data modeling, X-ray imaging

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Proceedings Article | 28 May 2019 Paper

Paper

Evaluation of image quality of a deep learning image reconstruction algorithm

Meghan Yue, Jie Tang, Brian Nett, Jiang Hsieh, Roy Nilsen, Jiahua Fan

Proceedings Volume 11072, 110722X (2019) https://doi.org/10.1117/12.2534961

KEYWORDS: Image quality, Reconstruction algorithms, LCDs, Image analysis, X-ray computed tomography, Signal detection, Image restoration, Modulation transfer functions, Spatial resolution, Interference (communication)

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Proceedings Article | 19 March 2014 Paper

Paper

Impact of redundant ray weighting on motion artifact in a statistical iterative reconstruction framework

Yinghua Tao, Jie Tang, Michael Speidel, Guang-Hong Chen

Proceedings Volume 9033, 90332X (2014) https://doi.org/10.1117/12.2043824

KEYWORDS: In vivo imaging, Numerical simulations, Data acquisition, Computed tomography, Fluctuations and noise, Infrared imaging, Statistical analysis, Image quality, Medical imaging, Zoom lenses

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Proceedings Article | 19 March 2014 Paper

Paper

Statistical image reconstruction via denoised ordered-subset statistically penalized algebraic reconstruction technique (DOS-SPART)

Yinsheng Li, Kai Niu, Jie Tang, Guang-Hong Chen

Proceedings Volume 9033, 90330U (2014) https://doi.org/10.1117/12.2043491

KEYWORDS: Reconstruction algorithms, Image restoration, Denoising, Medical imaging, Data modeling, Image denoising, Image processing, Photon counting, Statistical modeling, Numerical simulations

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Proceedings Article | 19 March 2014 Paper

Paper

Noise performance of statistical model based iterative reconstruction in clinical CT systems

Ke Li, Jie Tang, Guang-Hong Chen

Proceedings Volume 9033, 90335J (2014) https://doi.org/10.1117/12.2043974

KEYWORDS: Computed tomography, Statistical analysis, CT reconstruction, Scanners, 3D image processing, 3D image reconstruction, Image quality, 3D metrology, Iodine, Image processing

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Proceedings Article | 19 March 2014 Paper

Paper

Impact of norm selections on the performance of four-dimensional cone-beam computed tomography (4DCBCT) using PICCS

Yinsheng Li, Jie Tang, Guang-Hong Chen

Proceedings Volume 9033, 903308 (2014) https://doi.org/10.1117/12.2043509

KEYWORDS: Image restoration, Computed tomography, Image quality, CT reconstruction, Reconstruction algorithms, Compressed sensing, Temporal resolution, Medical imaging, Data acquisition, Signal to noise ratio

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Proceedings Article | 19 March 2013 Paper

Paper

Radiation dose reduction in dual-energy CT using Prior Image Constrained Compressed Sensing: image quality evaluation in virtual monochromatic imaging

Stephen Brunner, John Garrett, Yinsheng Li, Jie Tang, Kari Pulfer, Jiang Hsieh, Howard Rowley, Guang-Hong Chen

Proceedings Volume 8668, 866826 (2013) https://doi.org/10.1117/12.2007606

KEYWORDS: Image quality, Computed tomography, Bone, Spatial resolution, Compressed sensing, Denoising, Imaging spectroscopy, Medical imaging, CT reconstruction, Zoom lenses

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Proceedings Article | 19 March 2013 Paper

Paper

Radiation dose reduction and CNR enhancement in C-arm cone beam CT

Kai Niu, Jie Tang, Kevin Royalty, Orhan Ozkan, Charles Strother, Beverly Aagaard-Kienitz, Kari Pulfer, Guang-Hong Chen

Proceedings Volume 8668, 86682S (2013) https://doi.org/10.1117/12.2007736

KEYWORDS: Image quality, Spatial resolution, Image compression, Reconstruction algorithms, Image quality standards, Denoising, Computed tomography, Image enhancement, Image processing, Medical imaging

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Proceedings Article | 19 March 2013 Paper

Paper

Impact of noise level and edge sharpness of a prior image on the performance of Prior Image Constrained Compressed Sensing (PICCS)

Yinghua Tao, Jie Tang, Michael Speidel, Guang-Hong Chen

Proceedings Volume 8668, 86683J (2013) https://doi.org/10.1117/12.2007682

KEYWORDS: Spatial resolution, Denoising, Medical imaging, Compressed sensing, Image filtering, Image compression, Computed tomography, Image quality, Medicine, CT reconstruction

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Proceedings Article | 19 March 2013 Paper

Paper

Technical feasibility of CT perfusion using a C-Arm CBCT system

Min Xu, Jie Tang, Kevin Royalty, Guang-Hong Chen

Proceedings Volume 8668, 86681R (2013) https://doi.org/10.1117/12.2007623

KEYWORDS: X-ray computed tomography, Tissues, Brain, Temporal resolution, Data acquisition, X-rays, Brain mapping, Diagnostics, Neuroimaging, Imaging systems

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Proceedings Article | 19 March 2013 Paper

Paper

A novel temporal recovery technique to enable cone beam CT perfusion imaging using an interventional C-arm system

Jie Tang, Min Xu, Kai Niu, Kevin Royalty, Kari Pulfer, Charles Strother, Guang-Hong Chen

Proceedings Volume 8668, 86681A (2013) https://doi.org/10.1117/12.2007620

KEYWORDS: Computed tomography, Diagnostics, Data acquisition, Imaging systems, Temporal resolution, In vivo imaging, Cerebral blood flow, Numerical simulations, Deconvolution, Ischemic stroke

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Proceedings Article | 19 March 2013 Paper

Paper

Bregman regularized statistical image reconstruction method and application to prior image constrained compressed sensing (PICCS)

Yinsheng Li, Pascal Theriault Lauzier, Jie Tang, Guang-Hong Chen

Proceedings Volume 8668, 86683A (2013) https://doi.org/10.1117/12.2008162

KEYWORDS: Image restoration, Compressed sensing, X-ray computed tomography, Optimization (mathematics), CT reconstruction, Spatial resolution, Image processing, Medical imaging, Statistical analysis, Reconstruction algorithms

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Proceedings Article | 19 March 2013 Paper

Paper

Impact of norm selections on the performance of prior image constrained compressed sensing (PICCS)

Yinsheng Li, Jie Tang, Guang-Hong Chen

Proceedings Volume 8668, 86681M (2013) https://doi.org/10.1117/12.2008123

KEYWORDS: Image enhancement, Compressed sensing, CT reconstruction, Image quality, Computed tomography, Spatial resolution, Medical imaging, Reconstruction algorithms, Temporal resolution, Data acquisition

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Proceedings Article | 3 March 2012 Paper

Paper

New consistency theorem of motion contaminated projection data and applications in motion artifacts correction

Jie Tang, Pascal Thériault Lauzier, Zhihua Qi, Timothy Szczykutowicz, Guang-Hong Chen

Proceedings Volume 8313, 83131E (2012) https://doi.org/10.1117/12.911390

KEYWORDS: Reconstruction algorithms, Image restoration, Image analysis, Data acquisition, Sensors, X-ray computed tomography, Motion measurement, Motion analysis, Detection and tracking algorithms, Image processing

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Proceedings Article | 3 March 2012 Paper

Paper

Non-uniform noise spatial distribution in CT myocardial perfusion and a potential solution: statistical image reconstruction

Pascal Thériault Lauzier, Jie Tang, Guang-Hong Chen

Proceedings Volume 8313, 831338 (2012) https://doi.org/10.1117/12.911554

KEYWORDS: In vivo imaging, Image restoration, Computed tomography, Image filtering, Reconstruction algorithms, Tissues, Blood, Signal attenuation, Phase modulation, Analytical research

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Proceedings Article | 3 March 2012 Paper

Paper

Prior image constrained compressed sensing: a quantitative performance evaluation

Pascal Thériault Lauzier, Jie Tang, Guang-Hong Chen

Proceedings Volume 8313, 83132F (2012) https://doi.org/10.1117/12.912138

KEYWORDS: Spatial resolution, Image quality, Compressed sensing, Reconstruction algorithms, Medical imaging, Point spread functions, In vivo imaging, Temporal resolution, Computed tomography, Ionizing radiation

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Proceedings Article | 17 March 2011 Paper

Paper

Radiation dose reduction in computed tomography (CT) using a new implementation of wavelet denoising in low tube current acquisitions

Yinghua Tao, Stephen Brunner, Jie Tang, Michael Speidel, Howard Rowley, Michael VanLysel, Guang-Hong Chen

Proceedings Volume 7961, 79613M (2011) https://doi.org/10.1117/12.878362

KEYWORDS: Wavelets, Denoising, Image filtering, Linear filtering, Spatial resolution, Computed tomography, X-ray imaging, X-ray computed tomography, X-rays, Image processing

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Proceedings Article | 17 March 2011 Paper

Paper

Dose reduction using prior image constrained compressed sensing (DR-PICCS)

Jie Tang, Pascal Thériault Lauzier, Guang-Hong Chen

Proceedings Volume 7961, 79612K (2011) https://doi.org/10.1117/12.878200

KEYWORDS: Modulation transfer functions, Spatial resolution, Computed tomography, CT reconstruction, Reconstruction algorithms, Image filtering, Human subjects, Compressed sensing, Medical imaging, Denoising

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Proceedings Article | 3 March 2011 Paper

Paper

Quantitative evaluation method of noise texture for iteratively reconstructed x-ray CT images

Pascal Thériault Lauzier, Jie Tang, Guang-Hong Chen

Proceedings Volume 7961, 796135 (2011) https://doi.org/10.1117/12.878408

KEYWORDS: Reconstruction algorithms, X-ray computed tomography, X-rays, Image restoration, Diagnostics, X-ray imaging, Image filtering, Medical imaging, Spatial resolution, Signal to noise ratio

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Proceedings Article | 23 March 2010 Paper

Paper

GPU implementation of prior image constrained compressed sensing (PICCS)

Brian Nett, Jie Tang, Guang-Hong Chen

Proceedings Volume 7622, 762239 (2010) https://doi.org/10.1117/12.844578

KEYWORDS: Reconstruction algorithms, Sensors, Compressed sensing, Visualization, Computed tomography, Radiotherapy, Temporal resolution, CT reconstruction, Data acquisition, Detection and tracking algorithms

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Proceedings Article | 22 March 2010 Paper

Paper

Image reconstruction in cardiac interventions using a small flat-panel detector

Pascal Thériault Lauzier, Jie Tang, Zhihua Qi, Guang-Hong Chen

Proceedings Volume 7622, 762228 (2010) https://doi.org/10.1117/12.844581

KEYWORDS: Reconstruction algorithms, Sensors, Computed tomography, Image restoration, Signal attenuation, Scanners, In vivo imaging, X-rays, Medical imaging, Data acquisition

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Proceedings Article | 22 March 2010 Paper

Paper

Performance study of the temporal resolution improvement using prior image constrained compressed sensing (TRI-PICCS)

Jie Tang, Jiang Hsieh, Guang-Hong Chen

Proceedings Volume 7622, 762222 (2010) https://doi.org/10.1117/12.844537

KEYWORDS: Temporal resolution, Heart, Beam propagation method, Data acquisition, Computed tomography, Compressed sensing, Scanners, Medical imaging, Cardiac imaging, Distortion

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Proceedings Article | 13 March 2009 Paper

Paper

Performance comparison between compressed sensing and statistical iterative reconstruction algorithms

Jie Tang, Brian Nett, Guang-Hong Chen

Proceedings Volume 7258, 725826 (2009) https://doi.org/10.1117/12.813865

KEYWORDS: Reconstruction algorithms, Compressed sensing, Image restoration, Spatial resolution, X-ray computed tomography, Modulation transfer functions, CT reconstruction, Algorithm development, X-rays, Image quality

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Proceedings Article | 11 March 2009 Paper

Paper

Low radiation dose C-arm cone-beam CT based on prior image constrained compressed sensing (PICCS): including compensation for image volume mismatch between multiple data acquisitions

Brian Nett, Jie Tang, Beverly Aagaard-Kienitz, Howard Rowley, Guang-Hong Chen

Proceedings Volume 7258, 725803 (2009) https://doi.org/10.1117/12.813800

KEYWORDS: Reconstruction algorithms, Image registration, Compressed sensing, Image restoration, Computed tomography, Data acquisition, CT reconstruction, Angiography, Sensors, Tomography

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C-arm based cone-beam CT (CBCT) has evolved into a routine clinical imaging modality to provide threedimensional tomographic image guidance before, during, and after an interventional procedure. It is often used to update the clinician to the state of the patient anatomy and interventional tool placement. Due to the repeatedly use of CBCT, the accumulated radiation dose in an interventional procedure has become a concern. There is a strong desire from both patients and health care providers to reduce the radiation exposure required for these exams. The overall objective of this work is to propose and validate a method to significantly reduce the total radiation dose used during a CBCT image guided intervention. The basic concept is that the first cone-beam CT scan acquired at the full dose will be used to constrain the reconstruction of the later CBCT scans acquired at a much lower radiation dose. A recently developed new image reconstruction algorithm, Prior Image Constrained Compressed Sensing (PICCS), was used to reconstruct subsequent CBCT images with lower dose. This application differs from other applications of the PICCS algorithm, such as time-resolved CT or fourdimensional CBCT (4DCBCT), because the patient position may be frequently changed from one CBCT scan to another during the procedure. Thus, an image registration step to account for the change in patient position is indispensable for use of the PICCS image reconstruction algorithm. In this paper, the image registration step is combined with the PICCS algorithm to enable radiation dose reduction in CBCT image guided interventions. Experimental results acquired from a clinical C-arm system using a human cadaver were used to validate the PICCS algorithm based radiation dose reduction scheme. Using the proposed method in this paper, it has been demonstrated that, instead of 300 view angles, this technique requires about 20 cone-beam view angles to reconstruct CBCT angiograms. This signals a radiation dose reduction by a factor of approximately fifteen for subsequent acquisitions.

Proceedings Article | 11 March 2009 Paper

Paper

High temporal resolution cardiac cone-beam CT using a slowly rotating C-arm gantry

Guang-Hong Chen, Jie Tang, Brian Nett, Shuai Leng, Joseph Zambelli, Zhihua Qi, Nick Bevins, Scott Reeder, Howard Rowley

Proceedings Volume 7258, 72580C (2009) https://doi.org/10.1117/12.813810

KEYWORDS: Reconstruction algorithms, Data acquisition, Heart, Temporal resolution, Computed tomography, Compressed sensing, Image restoration, In vivo imaging, Image quality, 3D image processing

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Proceedings Article | 18 March 2008 Paper

Paper

Tomosynthesis via total variation minimization reconstruction and prior image constrained compressed sensing (PICCS) on a C-arm system

Brian Nett, Jie Tang, Shuai Leng, Guang-Hong Chen

Proceedings Volume 6913, 69132D (2008) https://doi.org/10.1117/12.771294

KEYWORDS: Compressed sensing, Computed tomography, Reconstruction algorithms, CT reconstruction, Sensors, Data acquisition, Image restoration, Image quality, Medical imaging, Numerical simulations

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Proceedings Article | 3 March 2008 Paper

Paper

Prior image constrained compressed sensing (PICCS)

Guang-Hong Chen, Jie Tang, Shuai Leng

Proceedings Volume 6856, 685618 (2008) https://doi.org/10.1117/12.770532

KEYWORDS: Reconstruction algorithms, Image restoration, Data acquisition, Image quality, Compressed sensing, Heart, Medical imaging, Signal to noise ratio, Magnetic resonance imaging, Numerical simulations

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Showing 5 of 27 publications

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