Prof. Soo-Jin Lee Profile

Prof. Soo-Jin Lee

at Pai Chai Univ

SPIE Involvement:

Author

Publications (20)

Proceedings Article | 7 April 2023 Poster + Paper

Smoothing-parameter tuning for regularized PET image reconstruction using deep learning

Jaehun Lee, Soo-Jin Lee

Proceedings Volume 12463, 124632C (2023) https://doi.org/10.1117/12.2653152

KEYWORDS: Image restoration, Deep learning, Image processing, Positron emission tomography, Expectation maximization algorithms, Network architectures, Reconstruction algorithms, Statistical methods, Mathematical optimization

Read Abstract +

Proceedings Article | 29 March 2016 Paper

A comparative study of the effects of using normalized patches for penalized likelihood tomographic reconstruction

Xue Ren, Soo-Jin Lee

Proceedings Volume 9783, 97834N (2016) https://doi.org/10.1117/12.2216471

KEYWORDS: Tomography, Image denoising, Image restoration, Computed tomography, Single photon emission computed tomography, Positron emission tomography, Surface plasmons, Switching, Control systems, Monte Carlo methods, Switches, Binary data, Expectation maximization algorithms

Read Abstract +

Proceedings Article | 22 March 2016 Paper

An adaptive method for weighted median priors in transmission tomography reconstruction

Ji Eun Jung, Soo-Jin Lee

Proceedings Volume 9783, 97834P (2016) https://doi.org/10.1117/12.2216474

KEYWORDS: Tomography, Image restoration, Digital filtering, Reconstruction algorithms, Inverse problems, Computed tomography, Single photon emission computed tomography, Positron emission tomography, Error control coding, Signal attenuation, Medical imaging, Chromium, Image transmission, Optimization (mathematics)

Read Abstract +

Proceedings Article | 19 March 2014 Paper

Acquiring tomographic images from panoramic X-ray scanners

Van-Giang Nguyen, Soo-Jin Lee

Proceedings Volume 9033, 90332W (2014) https://doi.org/10.1117/12.2043232

KEYWORDS: Sensors, Panoramic photography, Data acquisition, Scanners, X-rays, Data modeling, Tomography, X-ray imaging, Reconstruction algorithms, Raster graphics

Read Abstract +

SPIE Journal Paper | 6 September 2012

Graphics processing unit-accelerated iterative tomographic reconstruction with strip-integral system model

Van-Giang Nguyen, Soo-Jin Lee

OE, Vol. 51, Issue 9, 093203, (September 2012) https://doi.org/10.1117/12.10.1117/1.OE.51.9.093203

KEYWORDS: Reconstruction algorithms, Sensors, Tomography, Expectation maximization algorithms, Visualization, Image resolution, Optical engineering, Systems modeling, Parallel computing, Positron emission tomography

Proceedings Article | 3 March 2012 Paper

Anatomy-based PET image reconstruction using nonlocal regularization

Van-Giang Nguyen, Soo-Jin Lee

Proceedings Volume 8313, 83133T (2012) https://doi.org/10.1117/12.911690

KEYWORDS: Positron emission tomography, Lawrencium, Image resolution, Image enhancement, Image restoration, Image segmentation, Reconstruction algorithms, Resolution enhancement technologies, CT reconstruction, Sensors

Read Abstract +

Proceedings Article | 23 March 2010 Paper

Rapid 3D regularized EM reconstruction for Compton cameras using GPU

Soo-Jin Lee, Van-Giang Nguyen, Mi No Lee

Proceedings Volume 7622, 76225C (2010) https://doi.org/10.1117/12.844179

KEYWORDS: Expectation maximization algorithms, Cameras, Reconstruction algorithms, Sensors, Scattering, Visualization, Imaging systems, Algorithm development, Compton scattering, Tomography

Read Abstract +

SPIE Journal Paper | 1 March 2010

Image reconstruction from limited-view projections by convex nonquadratic spline regularization

Van-Giang Nguyen, Soo-Jin Lee

OE, Vol. 49, Issue 03, 037001, (March 2010) https://doi.org/10.1117/12.10.1117/1.3339871

KEYWORDS: Reconstruction algorithms, Expectation maximization algorithms, Image restoration, Optical engineering, Tomography, Sensors, Data acquisition, Algorithm development, Positron emission tomography, Scanners

Read Abstract +

SPIE Journal Paper | 1 February 2009

Training set approach to smoothing parameter estimation for spline-regularized tomographic reconstruction

Soo-Jin Lee

OE, Vol. 48, Issue 02, 027003, (February 2009) https://doi.org/10.1117/12.10.1117/1.3080742

KEYWORDS: Mathematical modeling, Sensors, Brain, Optical engineering, Reconstruction algorithms, Error analysis, Computed tomography, Tomography, Data modeling, Neuroimaging

Read Abstract +

Proceedings Article | 24 September 2007 Paper

Validation of training set approaches to hyperparameter estimation for Bayesian tomography

Soo-Jin Lee

Proceedings Volume 6696, 66962F (2007) https://doi.org/10.1117/12.739440

KEYWORDS: Data modeling, Tomography, Brain, Sensors, Mathematical modeling, Reconstruction algorithms, Gamma radiation, Computed tomography, Image acquisition, Neuroimaging

Read Abstract +

SPIE Journal Paper | 1 May 2007

Simultaneous reconstruction and edge detection of tomographic images using accelerated deterministic annealing

Soo-Jin Lee

OE, Vol. 46, Issue 05, 057006, (May 2007) https://doi.org/10.1117/12.10.1117/1.2736338

KEYWORDS: Reconstruction algorithms, Expectation maximization algorithms, Annealing, Edge detection, Tomography, Optical engineering, Algorithm development, Image restoration, Binary data, Data processing

Read Abstract +

Proceedings Article | 2 February 2006 Paper

A block-iterative deterministic annealing algorithm for Bayesian tomographic reconstruction

Soo-Jin Lee

Proceedings Volume 6065, 606517 (2006) https://doi.org/10.1117/12.642198

KEYWORDS: Reconstruction algorithms, Expectation maximization algorithms, Annealing, Tomography, Algorithm development, Binary data, Bismuth, Data processing, Image restoration, Iterative methods

Read Abstract +

Proceedings Article | 19 November 2003 Paper

Performance comparison of projector-backprojector pairs for iterative tomographic reconstruction

Soo-Jin Lee, Soo-Mee Kim

Proceedings Volume 5203, (2003) https://doi.org/10.1117/12.505148

KEYWORDS: Expectation maximization algorithms, Reconstruction algorithms, Sensors, Signal attenuation, CT reconstruction, Algorithm development, Tomography, Image quality, Detection and tracking algorithms, Computed tomography

Read Abstract +

SPIE Journal Paper | 1 January 2003

Spline-regularized ordered subset expectation-maximization algorithms for emission computed tomography

Soo-Jin Lee

JEI, Vol. 12, Issue 01, (January 2003) https://doi.org/10.1117/12.10.1117/1.1525791

KEYWORDS: Expectation maximization algorithms, Reconstruction algorithms, Algorithm development, Computed tomography, Tomography, Tin, Standards development, Mathematical modeling, Sensors, Positron emission tomography

Proceedings Article | 7 December 2001 Paper

Simultaneous reconstruction and edge detection of transmission images in emission computed tomography

Soo-Jin Lee

Proceedings Volume 4472, (2001) https://doi.org/10.1117/12.449786

KEYWORDS: Reconstruction algorithms, Expectation maximization algorithms, Signal attenuation, Annealing, Computed tomography, Algorithm development, Binary data, Edge detection, Tomography, CT reconstruction

Read Abstract +

Proceedings Article | 4 October 2000 Paper

Accelerated coordinate descent methods for Bayesian reconstruction using ordered subsets of projection data

Soo-Jin Lee

Proceedings Volume 4121, (2000) https://doi.org/10.1117/12.402437

KEYWORDS: Expectation maximization algorithms, Reconstruction algorithms, Tomography, Algorithm development, Computer simulations, Mathematical modeling, Brain, Data modeling, Optimization (mathematics), Electronics engineering

Read Abstract +

SPIE Journal Paper | 1 July 2000

Performance comparison of convex-nonquadratic priors for Bayesian tomographic reconstruction

Soo-Jin Lee

JEI, Vol. 9, Issue 03, (July 2000) https://doi.org/10.1117/12.10.1117/1.482752

KEYWORDS: Data modeling, Reconstruction algorithms, Tomography, Positron emission tomography, Algorithm development, Performance modeling, Statistical modeling, Image processing, Monte Carlo methods, Optimization (mathematics)

Proceedings Article | 25 June 1999 Paper

Penalized-likelihood image reconstruction for emission tomography using higher-order convex-nonquadratic priors

Soo-Jin Lee

Proceedings Volume 3816, (1999) https://doi.org/10.1117/12.351312

KEYWORDS: Data modeling, Tomography, Image processing, Reconstruction algorithms, Monte Carlo methods, Image restoration, Algorithm development, Optimization (mathematics), Expectation maximization algorithms, Statistical modeling

Read Abstract +

Proceedings Article | 1 October 1998 Paper

Improved method for reduction of truncation artifact in magnetic resonance imaging

Soo-Jin Lee

Proceedings Volume 3460, (1998) https://doi.org/10.1117/12.323214

KEYWORDS: Magnetic resonance imaging, Data modeling, Brain, Neuroimaging, Tissues, Annealing, Data acquisition, Computer programming, Ions, Brain mapping

Read Abstract +

Proceedings Article | 31 October 1997 Paper

Quantitative effects of using thin-plate priors in Bayesian SPECT reconstruction

Soo-Jin Lee, Ing-Tsung Hsiao, Gene Gindi

Proceedings Volume 3170, (1997) https://doi.org/10.1117/12.292826

KEYWORDS: Single photon emission computed tomography, Data modeling, Yield improvement, Sensors, Performance modeling, Optimization (mathematics), Expectation maximization algorithms

Read Abstract +

Showing 5 of 20 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