Dr. Biao Chen Profile

Dr. Biao Chen

Senior Principal Scientist at Hologic Inc

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Author

Publications (16)

Proceedings Article | 9 March 2018 Paper

Breast density assessment: image feature extraction and density classification with machine intelligence

Biao Chen, Chris Ruth, Yiheng Zhang, Zhenxue Jing

Proceedings Volume 10573, 105735F (2018) https://doi.org/10.1117/12.2293365

KEYWORDS: Breast, Image processing, Tissues, Image classification, X-rays, X-ray imaging, Digital image processing, X-ray detectors, Image enhancement, Feature extraction

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Proceedings Article | 19 March 2014 Paper

Estimation of effective x-ray tissue attenuation differences for volumetric breast density measurement

Biao Chen, Chris Ruth, Zhenxue Jing, Baorui Ren, Andrew Smith, Ashwini Kshirsagar

Proceedings Volume 9033, 903347 (2014) https://doi.org/10.1117/12.2042920

KEYWORDS: Breast, Tissues, X-rays, Signal attenuation, Imaging systems, X-ray imaging, Calibration, X-ray detectors, Breast cancer, Rhodium

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Proceedings Article | 13 March 2009 Paper

Imaging technique optimization of tungsten anode FFDM system

Biao Chen, Andrew Smith, Zhenxue Jing, Elena Ingal

Proceedings Volume 7258, 725830 (2009) https://doi.org/10.1117/12.811745

KEYWORDS: X-rays, Rhodium, Breast, Silver, Tungsten, Imaging systems, Molybdenum, Image filtering, Target detection, Computer simulations

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Proceedings Article | 14 March 2007 Paper

Breast density mapping based upon system calibration, x-ray techniques, and FFDM images

Biao Chen, Andrew Smith, Zhenxue Jing, Tao Wu

Proceedings Volume 6510, 65102Z (2007) https://doi.org/10.1117/12.710028

KEYWORDS: Breast, X-rays, Calibration, X-ray imaging, Tissues, Neural networks, Rhodium, Absorption, X-ray detectors, Molybdenum

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Proceedings Article | 2 March 2006 Paper

Dual-energy contrast-enhanced digital mammography (DE-CEDM): optimization on digital subtraction with practical x-ray low/high-energy spectra

Biao Chen, Zhenxue Jing, Andrew Smith, Samir Parikh, Yuri Parisky

Proceedings Volume 6142, 61422N (2006) https://doi.org/10.1117/12.653203

KEYWORDS: Breast, Iodine, X-rays, Digital mammography, Tissues, X-ray imaging, Computer simulations, Image enhancement, Signal attenuation, Digital imaging

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Proceedings Article | 20 April 2005 Paper

Contrast-enhanced digital mammography (CEDM): imaging modeling, computer simulations, and phantom study

Biao Chen, Zhenxue Jing, Andrew Smith

Proceedings Volume 5745, (2005) https://doi.org/10.1117/12.595747

KEYWORDS: Breast, X-rays, Iodine, Copper, X-ray imaging, Digital mammography, Computer simulations, Rhodium, Tungsten, Tissues

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Proceedings Article | 5 June 2003 Paper

Evaluation of reconstruction accuracy of cone beam volume CT breast imaging for different scanning orbits

Ruola Ning, Xianghua Lu, Biao Chen, Yong Yu

Proceedings Volume 5030, (2003) https://doi.org/10.1117/12.480252

KEYWORDS: Breast, Computer simulations, Mammography, Sensors, Breast cancer, Data acquisition, Breast imaging, Scanners, Distortion, Prototyping

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Proceedings Article | 3 May 2002 Paper

Flat-panel detector-based cone-beam volume CT breast imaging: phantom and specimen study

Ruola Ning, David Conover, Biao Chen, Linda Schiffhauer, Jeanne Cullinan, Yi Ning, Arvin Robinson

Proceedings Volume 4682, (2002) https://doi.org/10.1117/12.465562

KEYWORDS: Mammography, Breast, Tumors, Sensors, Breast imaging, Prototyping, Computed tomography, Scanners, Imaging systems, Signal to noise ratio

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Proceedings Article | 3 May 2002 Paper

Cone-beam volume CT breast imaging: wavelet analysis-based multi-resolution reconstruction and de-noising technique

Biao Chen, Ruola Ning

Proceedings Volume 4682, (2002) https://doi.org/10.1117/12.465564

KEYWORDS: Wavelets, Signal to noise ratio, Breast, Spatial resolution, Image quality, X-rays, Breast imaging, Image processing, Image analysis, Computed tomography

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Proceedings Article | 3 July 2001 Paper

High-speed cone-beam reconstruction on PC

Rongfeng Yu, Ruola Ning, Biao Chen

Proceedings Volume 4322, (2001) https://doi.org/10.1117/12.430970

KEYWORDS: Reconstruction algorithms, Data processing, Tomography, Data storage, Computer simulations, Computing systems, Sensors, Europium, Medical imaging, Radon transform

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Proceedings Article | 28 June 2001 Paper

Flat-panel detector-based cone-beam volume CT breast imaging: preliminary phantom study

Ruola Ning, Biao Chen, David Conover, Linda McHugh, Jeanne Cullinan, Rongfeng Yu

Proceedings Volume 4320, (2001) https://doi.org/10.1117/12.430901

KEYWORDS: Breast, Mammography, Sensors, Breast imaging, Computed tomography, Tumors, X-ray computed tomography, X-rays, Imaging systems, Prototyping

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Proceedings Article | 28 June 2001 Paper

Cone-beam volume CT mammographic imaging: feasibility study

Biao Chen, Ruola Ning

Proceedings Volume 4320, (2001) https://doi.org/10.1117/12.430894

KEYWORDS: Breast, X-rays, Mammography, Sensors, X-ray imaging, Reconstruction algorithms, Imaging systems, Signal to noise ratio, Tissues, X-ray computed tomography

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Proceedings Article | 25 April 2000 Paper

Real-time flat-panel detector-based-volume tomographic angiography imaging: detector evaluation

Ruola Ning, Richard Colbeth, Biao Chen, Rongfeng Yu, David Conover, Yi Ning, Chuck Blouir

Proceedings Volume 3977, (2000) https://doi.org/10.1117/12.384514

KEYWORDS: Sensors, Imaging systems, Spatial resolution, Angiography, Prototyping, Image quality, X-rays, Tomography, Image resolution, Image sensors

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Proceedings Article | 22 September 1999 Paper

Flat-panel-detector-based volume tomographic angiography imaging: detector evaluation

Ruola Ning, Dinghua Zhang, Biao Chen, David Conover, Rongfeng Yu

Proceedings Volume 3772, (1999) https://doi.org/10.1117/12.363718

KEYWORDS: Sensors, Tomography, Angiography, Imaging systems, Image sensors, Iodine, Prototyping, Distortion, X-rays, Image resolution

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Proceedings Article | 28 May 1999 Paper

Accurate and efficient calibration method for a selenium flat-panel-detector-based volume tomographic angiography imaging system

Dinghua Zhang, Ruola Ning, Biao Chen, David Conover

Proceedings Volume 3659, (1999) https://doi.org/10.1117/12.349541

KEYWORDS: Calibration, Sensors, X-rays, Imaging systems, Signal to noise ratio, Selenium, Tomography, Angiography, X-ray detectors, Image quality

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Proceedings Article | 20 May 1999 Paper

Intravenous volume tomographic pulmonary angiography imaging

Ruola Ning, John Strang, Biao Chen, David Conover, Rongfeng Yu

Proceedings Volume 3660, (1999) https://doi.org/10.1117/12.349587

KEYWORDS: Angiography, X-ray computed tomography, Computed tomography, Tomography, Prototyping, 3D modeling, CT reconstruction, 3D image reconstruction, 3D image processing, Arteries

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This study presents a new intravenous (IV) tomographic angiography imaging technique, called intravenous volume tomographic digital angiography (VTDA) for cross sectional pulmonary angiography. While the advantages of IV-VTDA over spiral CT in terms of volume scanning time and resolution have been validated and reported in our previous papers for head and neck vascular imaging, the superiority of IV-VTDA over spiral CT for cross sectional pulmonary angiography has not been explored yet. The purpose of this study is to demonstrate the advantage of isotropic resolution of IV-VTDA in the x, y and z directions through phantom and animal studies, and to explore its clinical application for detecting clots in pulmonary angiography. A prototype image intensifier-based VTDA imaging system has been designed and constructed by modifying a GE 8800 CT scanner. This system was used for a series of phantom and dog studies. A pulmonary vascular phantom was designed and constructed. The phantom was scanned using the prototype VTDA system for direct 3D reconstruction. Then the same phantom was scanned using a GE CT/i spiral CT scanner using the routine pulmonary CT angiography protocols. IV contrast injection and volume scanning protocols were developed during the dog studies. Both VTDA reconstructed images and spiral CT images of the specially designed phantom were analyzed and compared. The detectability of simulated vessels and clots was assessed as the function of iodine concentration levels, oriented angles, and diameters of the vessels and clots. A set of 3D VTDA reconstruction images of dog pulmonary arteries was obtained with different IV injection rates and isotropic resolution in the x, y and z directions. The results of clot detection studies in dog pulmonary arteries have also been shown. This study presents a new tomographic IV angiography imaging technique for cross sectional pulmonary angiography. The results of phantom and animal studies indicate that IV-VTDA is superior to spiral CT for cross sectional pulmonary angiography.

Showing 5 of 16 publications

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