Prof. Lihong C. Li Profile

Prof. Lihong C. Li

SPIE Involvement:

Author

Area of Expertise:

Signal / image processing , Computer aided detection / diagnosis , Pattern recognition , Image segmentation , Medical informatics , Computer vision

Publications (46)

Proceedings Article | 3 April 2024 Presentation + Paper

An investigation on the individual performance of feature extraction and classification modules in machine learning for diagnosis of low-dose computed tomography screening-detected lesions

Lihong Li, Daniel Liang, David Liang, Marc Pomeroy, Yongfeng Gao, Licheng Kuo

Proceedings Volume 12927, 129271L (2024) https://doi.org/10.1117/12.3006622

KEYWORDS: Feature extraction, Computed tomography, Polyps, Image classification, Tissues, Machine learning, X-ray computed tomography, Deep learning, Computer aided detection, Random forests

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Proceedings Article | 7 April 2023 Poster + Paper

Using virtual monoenergetic images in Karhunen–Loève domain to differentiate lesion pathology

Yongfeng Gao, Shaojie Chang, Marc Pomeroy, Lihong Li, Zhengrong Liang

Proceedings Volume 12465, 124652R (2023) https://doi.org/10.1117/12.2654390

KEYWORDS: Pathology, Polyps, Lung, Colon, X-ray computed tomography, 3D modeling, Image classification

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Proceedings Article | 4 April 2022 Poster + Presentation + Paper

Multi-channel medical image segmentation method in Hessian domain

Shuheng Cao, Ethan Yu, Aidan Clarke, Yongfeng Gao, Lihong Li

Proceedings Volume 12033, 1203333 (2022) https://doi.org/10.1117/12.2612659

KEYWORDS: Image segmentation, Medical imaging, Kidney, Breast, Brain, Tissues, Colon, Lung, Magnetic resonance imaging, Information technology

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Proceedings Article | 16 March 2020 Presentation + Paper

A multi-stage fusion strategy for multi-scale GLCM-CNN model in differentiating malignant from benign polyps

Jiaxing Tan, Zhengrong Liang, Shu Zhang, Weiguo Cao, Yongfeng Gao, Lihong Li, Yumei Huo

Proceedings Volume 11314, 113141S (2020) https://doi.org/10.1117/12.2549831

KEYWORDS: Tumor growth modeling, Feature extraction, Convolution, Visualization, Curium, Computer aided diagnosis and therapy, Visual process modeling, Colorectal cancer, Performance modeling, Tumors

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Proceedings Article | 15 March 2019 Paper

Sharpness preserved sinogram synthesis using convolutional neural network for sparse-view CT imaging

Jiaxing Tan, Zhengrong Liang, Yongfeng Gao, Yumei Huo, Lihong Li

Proceedings Volume 10949, 109490E (2019) https://doi.org/10.1117/12.2512894

KEYWORDS: Computed tomography, Convolutional neural networks, Performance modeling, Feature extraction, X-ray computed tomography, Visual process modeling, Convolution, Tissues, Sensors, Image restoration

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Proceedings Article | 9 March 2018 Paper

A feasibility study of extracting tissue textures from a previous normal-dose CT database as prior for Bayesian reconstruction of current ultra-low-dose CT images

Zhengrong Liang, Yongfeng Gao, Yuxiang Xing, William Moore, Jianhua Ma, Bo Chen, Hao Zhang, Hongbing Lu, Lihong Li, Marc Pomeroy

Proceedings Volume 10573, 105733C (2018) https://doi.org/10.1117/12.2293854

KEYWORDS: Magnetorheological finishing, Tissues, X-ray computed tomography, Lung, Image segmentation, Databases, X-rays, Reconstruction algorithms, Computed tomography, CT reconstruction

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Tremendous research efforts have been devoted to lower the X-ray radiation exposure to the patient in order to expand the utility of computed tomography (CT), particularly to pediatric imaging and population-based screening. When the exposure dosage goes down, both the X-ray quanta fluctuation and the system electronic background noise become significant factors affecting the image quality. Conventional edge-preserving noise smoothing would sacrifice tissue textures and compromise the clinical tasks. To relieve these challenges, this work models the noise problem by pre-log shifted Poisson statistics and extracts tissue textures from previous normal-dose CT scans as prior knowledge for texturepreserving Bayesian reconstruction of current ultralow-dose CT images. The pre-log shift Poisson model considers accurately both the X-ray quanta fluctuation and the system electronic noise while the prior knowledge of tissue textures removes the limitation of the conventional edge-preserving noise smoothing. The Bayesian reconstruction was tested by experimental studies. One patient chest scan was selected from a database of 133 patients’ scans at 100mAs/120kVp normal-dose level. From the selected patient scan, ultralow-dose data was simulated at 5mAs/120kVp level. The other 132 normal-dose scans were grouped according to how close their lung tissue texture patterns are from that of the selected patient scan. The tissue textures of each group were used to reconstruct the ultralow-dose scan by the Bayesian algorithm. The closest group to the selected patient produced almost identical results to the reconstruction when the tissue textures of the selected patient’s normal-dose scan were used, indicating the feasibility of extracting tissue textures from a previous normal-dose database to reconstruct any current ultralow-dose CT image. Since the Bayesian reconstruction can be time consuming, this work further investigates a strategy to efficiently store the projection matrix rather than computing the line integrals on-flight. This strategy accelerated the computing speed by more than 18 times.

Proceedings Article | 2 March 2018 Paper

A new medical image segmentation model based on fractional order differentiation and level set

Bo Chen, Shan Huang, Feifei Xie, Lihong Li, Wensheng Chen, Zhengrong Liang

Proceedings Volume 10574, 1057435 (2018) https://doi.org/10.1117/12.2292931

KEYWORDS: Image segmentation, Medical imaging, Magnetic resonance imaging, Fourier transforms, Heart, Computed tomography, Neuroimaging, Brain, Image enhancement, Visual process modeling

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Proceedings Article | 27 February 2018 Presentation + Paper

A new fractional order derivative based active contour model for colon wall segmentation

Lihong Li, Bo Chen, Huafeng Wang, Wensheng Chen, Zhengrong Liang, Shan Huang, Xinzhou Wei

Proceedings Volume 10575, 1057517 (2018) https://doi.org/10.1117/12.2293677

KEYWORDS: Colon, Image segmentation, Solid modeling, Photovoltaics, Colorectal cancer, Computer aided diagnosis and therapy, Cancer, Expectation maximization algorithms, Image processing, Tomography

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Proceedings Article | 3 March 2017 Paper

A new framework for detection of initial flat polyp candidates based on a dual level set competition model

Xinzhou Wei, Lihong Li, Huafeng Wang, Zhengrong Liang, Wanquan Liu, Yuehai Wang

Proceedings Volume 10134, 1013435 (2017) https://doi.org/10.1117/12.2254600

KEYWORDS: Colon, Computer-aided diagnosis, Image segmentation, Computer aided design, Virtual colonoscopy, Computer aided diagnosis and therapy, Colorectal cancer, Expectation maximization algorithms

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Proceedings Article | 3 March 2017 Paper

False positive reduction for wall thickness-based detection of colonic flat polyps via CT colonography

Lihong Li, Marc Pomeroy, Hao Han, Perry Pickhardt, Zhengrong Liang, Xinzhou Wei

Proceedings Volume 10134, 1013434 (2017) https://doi.org/10.1117/12.2254565

KEYWORDS: Colorectal cancer, Cancer, Feature selection, Colon, Feature extraction, Virtual colonoscopy, Computer aided diagnosis and therapy, Computer aided design, Computer-aided diagnosis, Volume rendering, Statistical analysis, Image classification, Computed tomography

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Proceedings Article | 3 March 2017 Paper

A study of oral contrast coating on the surface of polyps: an implication for computer-aided detection and classification of polyps

Lihong Li, Harmanpreet Singh, Marc Pomeroy, Perry Pickhardt, Matthew Barish, Donald Harrington, Zhengrong Liang

Proceedings Volume 10134, 101340I (2017) https://doi.org/10.1117/12.2254514

KEYWORDS: Endoscopy, 3D image processing, 3D vision, Barium, Translucency, Colon, Coating, Computer-aided diagnosis, Virtual colonoscopy, Computed tomography, Computer aided diagnosis and therapy

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Proceedings Article | 30 March 2016 Paper

Texture-preserving Bayesian image reconstruction for low-dose CT

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

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

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Proceedings Article | 24 March 2016 Paper

An integrated classifier for computer-aided diagnosis of colorectal polyps based on random forest and location index strategies

Perry Pickhardt, Yifan Hu, Hao Han, Wei Zhu, Zhengrong Liang, Lihong Li

Proceedings Volume 9785, 97851L (2016) https://doi.org/10.1117/12.2216353

KEYWORDS: Computer aided diagnosis and therapy, Feature selection, 3D modeling, Image classification, Computer-aided diagnosis, Computed tomography, Probability theory, Error control coding, Cancer, Receivers, Colorectal cancer, Feature extraction

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Proceedings Article | 20 March 2015 Paper

Detection of colonic polyp candidates with level set-based thickness mapping over the colon wall

Hao Han, Lihong Li, Chaijie Duan, Yang Zhao, Huafeng Wang, Zhengrong Liang

Proceedings Volume 9414, 94141F (2015) https://doi.org/10.1117/12.2082415

KEYWORDS: Colon, Image segmentation, Computer aided diagnosis and therapy, 3D modeling, Photovoltaics, Virtual colonoscopy, Tissues, Visualization, 3D image processing

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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, Zhengrong Liang, Hao Han, Lihong Li, William Moore

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

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Proceedings Article | 24 March 2014 Paper

An adaptive approach to centerline extraction for CT colonography using MAP-EM segmentation and distance field

Hao Peng, Lihong Li, Huafeng Wang, Hao Han, Perry Pickhardt, Zhengrong Liang

Proceedings Volume 9035, 903510 (2014) https://doi.org/10.1117/12.2043956

KEYWORDS: Colon, Intestine, Image segmentation, Expectation maximization algorithms, Photovoltaics, Tissues, Image processing algorithms and systems, Virtual colonoscopy, Tomography, Algorithm development

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Proceedings Article | 20 March 2014 Paper

Automated polyp measurement based on colon structure decomposition for CT colonography

Lihong Li, Huafeng Wang, Hao Han, Hao Peng, Bowen Song, Zhengrong Liang, Xinzhou Wei

Proceedings Volume 9035, 90350B (2014) https://doi.org/10.1117/12.2043648

KEYWORDS: Colon, Expectation maximization algorithms, Computer aided diagnosis and therapy, Colorectal cancer, Virtual colonoscopy, Computed tomography, 3D modeling, Volume rendering, Detection and tracking algorithms, Cancer

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Proceedings Article | 19 March 2014 Paper

Nonlocal means-based regularizations for statistical CT reconstruction

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

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

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Proceedings Article | 18 March 2014 Paper

A novel colonic polyp volume segmentation method for computer tomographic colonography

Huafeng Wang, Lihong Li, Hao Han, Bowen Song, Hao Peng, Yunhong Wang, Lihua Wang, Zhengrong Liang

Proceedings Volume 9035, 90352W (2014) https://doi.org/10.1117/12.2043556

KEYWORDS: Image segmentation, Colon, Computer aided diagnosis and therapy, Volume rendering, Tomography, Colorectal cancer, Cancer, Environmental sensing, Tissues, Medical imaging

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Proceedings Article | 18 March 2014 Paper

A novel computer-aided detection system for pulmonary nodule identification in CT images

Lihong Li, Hao Han, Huafeng Wang, Hao Zhang, William Moore, Zhengrong Liang

Proceedings Volume 9035, 90352D (2014) https://doi.org/10.1117/12.2043964

KEYWORDS: Lung, Computer aided diagnosis and therapy, 3D image processing, Computed tomography, Image segmentation, Chest, Databases, Feature extraction, Lung cancer

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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

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

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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 | 28 February 2013 Paper

A shape constrained MAP-EM algorithm for colorectal segmentation

Huafeng Wang, Lihong Li, Bowen Song, Fangfang Han, Zhengrong Liang

Proceedings Volume 8670, 86702F (2013) https://doi.org/10.1117/12.2008138

KEYWORDS: Image segmentation, Expectation maximization algorithms, Colon, Tissues, Computer aided diagnosis and therapy, Computed tomography, Colorectal cancer, Image processing algorithms and systems, Medical imaging, Solid modeling

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Proceedings Article | 3 March 2012 Paper

Variance estimation of x-ray CT sinogram in radon domain

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

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Proceedings Article | 23 February 2012 Paper

Automatic colonic fold segmentation for computed tomography colonography

Hongbin Zhu, Lihong Li, Matthew Barish, Bowen Song, Zhengrong Liang, Donald Harrington, Perry Pickhardt

Proceedings Volume 8315, 83150X (2012) https://doi.org/10.1117/12.911336

KEYWORDS: Colon, Image segmentation, Image processing algorithms and systems, Synthetic aperture radar, Computed tomography, Solids, Tomography, Solid modeling, Image registration, Image restoration

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Proceedings Article | 23 February 2012 Paper

An integrated electronic colon cleansing for CT colonoscopy via MAP-EM segmentation and scale-based scatter correction

Zhengrong Liang, Hao Zhang, Qin Lin, Donald Harrington, Lihong Li, Hongbin Zhu

Proceedings Volume 8315, 83151L (2012) https://doi.org/10.1117/12.910922

KEYWORDS: Tissues, Image segmentation, Colon, Thulium, Image processing algorithms and systems, Photovoltaics, Virtual colonoscopy, Computed tomography, Statistical analysis, Signal attenuation

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Proceedings Article | 9 March 2011 Paper

Automatic teniae coli detection for computed tomography colonography

Hongbing Lu, Lihong Li, Xianfeng Gu, Yi Fan, Qin Lin, Hongbin Zhu, Zhengrong Liang

Proceedings Volume 7963, 79632N (2011) https://doi.org/10.1117/12.878059

KEYWORDS: Technetium, Colon, Solids, Principal component analysis, Computed tomography, Virtual colonoscopy, Databases, Image registration, Tomography, 3D image processing

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Proceedings Article | 8 September 2010 Paper

Multispectral MRI-based virtual cystoscopy

Lihong Li, Zhengrong Liang, Su Wang, Hongbin Zhu, Xinzhou Wei

Proceedings Volume 7798, 77980C (2010) https://doi.org/10.1117/12.861448

KEYWORDS: Bladder, Image segmentation, Magnetic resonance imaging, Tissues, Virtual colonoscopy, Computer aided diagnosis and therapy, Expectation maximization algorithms, Photovoltaics, Tumors, Bladder cancer

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Proceedings Article | 12 March 2008 Paper

Segmentation of multispectral bladder MR images with inhomogeneity correction for virtual cystoscopy

Marlene Zawin, Zhengrong Liang, Erica Posniak, Lihong Li, Su Wang, Xinzhou Wei, Hongyu Lu, Christopher Lee, Mark Wagshul

Proceedings Volume 6916, 69160U (2008) https://doi.org/10.1117/12.769914

KEYWORDS: Bladder, Image segmentation, Magnetic resonance imaging, Tissues, Virtual cystoscopy, Photovoltaics, Tumors, Multispectral imaging, Expectation maximization algorithms, Virtual colonoscopy

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Proceedings Article | 29 March 2007 Paper

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

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

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

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Proceedings Article | 29 March 2007 Paper

A new electronic colon cleansing method for virtual colonoscopy

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

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

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Proceedings Article | 13 March 2006 Paper

Quantitative analysis of multiple sclerosis: a feasibility study

Lihong Li, Deborah Sturm, Xiang Li, Zhengrong Liang, Xinzhou Wei, Hongbing Lu

Proceedings Volume 6143, 61430U (2006) https://doi.org/10.1117/12.654181

KEYWORDS: Image segmentation, Brain, Tissues, Magnetic resonance imaging, Photovoltaics, Neuroimaging, Quantitative analysis, Data modeling, Image analysis, 3D acquisition

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Proceedings Article | 14 April 2005 Paper

A feasibility study on laxative-free bowel preparation for virtual colonoscopy

Zhengrong Liang, Arie Kaufman, Donald Harrington, Lihong Li, Sarang Lakare, Joseph Anderson, Mark Wax, Dongqing Chen

Proceedings Volume 5746, (2005) https://doi.org/10.1117/12.597357

KEYWORDS: Colon, Computed tomography, Virtual colonoscopy, 3D modeling, Image acquisition, Image segmentation, Endoscopy, Liquids, 3D image processing, Image resolution

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Proceedings Article | 14 April 2005 Paper

A pilot study on less-stressful bowel preparation for virtual colonoscopy screening with follow-up biopsy by optical colonoscopy

Dongqing Chen, Lihong Li, Sarang Lakare, Mark Wax, Joseph Anderson, Zhengrong Liang, Arie Kaufman, Donald Harrington

Proceedings Volume 5746, (2005) https://doi.org/10.1117/12.597437

KEYWORDS: Virtual colonoscopy, Colon, Computed tomography, Image segmentation, Biopsy, Magnesium, 3D modeling, Tablets, Barium, Image processing algorithms and systems

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Proceedings Article | 12 May 2004 Paper

Computer-aided detection and diagnosis of colon polyps with morphological and texture features

Zhengrong Liang, Lihong Li, Joseph Anderson, Zigang Wang, Donald Harrington

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.535664

KEYWORDS: Colon, Tissues, Computer aided diagnosis and therapy, Computer aided design, Feature extraction, Virtual colonoscopy, Computed tomography, Image segmentation, Solid modeling

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Proceedings Article | 30 April 2004 Paper

A new partial volume segmentation approach to extract bladder wall for computer-aided detection in virtual cystoscopy

Xiang Li, Hong Meng, Syed Rizvi, Wei Huang, Zhengrong Liang, Lihong Li, Zigang Wang, Xinzhou Wei, Donald Harrington, Howard Adler

Proceedings Volume 5369, (2004) https://doi.org/10.1117/12.535913

KEYWORDS: Bladder, Tissues, Magnetic resonance imaging, Image segmentation, Computer aided diagnosis and therapy, Multispectral imaging, Virtual cystoscopy, Photovoltaics, Computed tomography, 3D image processing

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Proceedings Article | 5 June 2003 Paper

Adaptive noise reduction toward low-dose computed tomography

Yuxiang Xing, Lihong Li, Jiang Hsieh, Xiang Li, Hongbing Lu, Dongqing Chen, Zhengrong Liang

Proceedings Volume 5030, (2003) https://doi.org/10.1117/12.480374

KEYWORDS: Image filtering, Computed tomography, Signal to noise ratio, Digital filtering, Denoising, X-ray computed tomography, Nonlinear filtering, Smoothing, Gaussian filters, Image restoration

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Proceedings Article | 15 May 2003 Paper

Inhomogeneity correction for magnetic resonance images with fuzzy C-mean algorithm

Xiang Li, Lihong Li, Hongbing Lu, Zengrong Liang, Dongqing Chen

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.481375

KEYWORDS: Image segmentation, Magnetic resonance imaging, Fuzzy logic, Brain, Image processing algorithms and systems, Computer simulations, 3D image processing, Magnetism, Neuroimaging, Tissues

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Proceedings Article | 15 May 2003 Paper

Skeleton-based 3D computer-aided detection of colonic polyps

Xiang Li, Zigang Wang, Donald Harrington, Lihong Li, Zhengrong Liang

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.481915

KEYWORDS: Colon, Image segmentation, Tissues, Computer aided diagnosis and therapy, Spherical lenses, Computed tomography, Expectation maximization algorithms, Virtual colonoscopy, Computer aided design, Convolution

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Proceedings Article | 2 May 2003 Paper

Robust colon residue detection using vector-quantization-based classification for virtual colonoscopy

Mark Wax, Zhengrong Liang, Arie Kaufman, Lihong Li, Sarang Lakare, Dongqing Chen

Proceedings Volume 5031, (2003) https://doi.org/10.1117/12.480410

KEYWORDS: Colon, Virtual colonoscopy, Quantization, Computed tomography, Tissues, Image segmentation, 3D modeling, Colorectal cancer, 3D image processing, Cancer

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Proceedings Article | 24 April 2002 Paper

Electronic colon cleansing using segmentation rays for virtual colonoscopy

Sarang Lakare, Dongqing Chen, Arie Kaufman, Lihong Li, Zhengrong Liang

Proceedings Volume 4683, (2002) https://doi.org/10.1117/12.463608

KEYWORDS: Colon, Image segmentation, Virtual colonoscopy, Computed tomography, Cancer, Abdomen, Tissues, Colorectal cancer, Bone, Reconstruction algorithms

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Proceedings Article | 24 April 2002 Paper

Image segmentation approach to extract colon lumen through colonic material tagging and hidden Markov random field model for virtual colonoscopy

Dongqing Chen, Sarang Lakare, Arie Kaufman, Ingmar Bitter, Kevin Kreeger, Mark Wax, Petar Djuric, Zhengrong Liang, Lihong Li

Proceedings Volume 4683, (2002) https://doi.org/10.1117/12.463607

KEYWORDS: Colon, Image segmentation, Expectation maximization algorithms, Virtual colonoscopy, Computed tomography, Tissues, Magnetorheological finishing, Colorectal cancer, Medical imaging, Tumor growth modeling

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Proceedings Article | 3 July 2001 Paper

Segmentation of brain MR images: a self-adaptive online vector quantization approach

Hongbing Lu, Zhengrong Liang, Dongqing Chen, Lihong Li

Proceedings Volume 4322, (2001) https://doi.org/10.1117/12.431024

KEYWORDS: Image segmentation, Magnetic resonance imaging, Brain, Quantization, Image processing algorithms and systems, Neuroimaging, Data modeling, Tissues, Principal component analysis, Feature extraction

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Proceedings Article | 3 July 2001 Paper

Combined transformation of ordering SPECT sinograms for signal extraction from measurements with Poisson noise

Zhengrong Liang, Hongbing Lu, Lihong Li, Dongqing Chen, Guoping Han

Proceedings Volume 4322, (2001) https://doi.org/10.1117/12.430968

KEYWORDS: Signal to noise ratio, Interference (communication), Single photon emission computed tomography, Electronic filtering, Digital filtering, Image filtering, Filtering (signal processing), Denoising, Data modeling, Smoothing

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Proceedings Article | 3 July 2001 Paper

Renormalization method for inhomogeneity correction of MR images

Zhengrong Liang, Dongqing Chen, J. Lee, Lihong Li, Daeki Yoon

Proceedings Volume 4322, (2001) https://doi.org/10.1117/12.430967

KEYWORDS: Magnetic resonance imaging, Neck, Tissues, Magnetism, Neuroimaging, Brain, Algorithms, Scanners, Roentgenium, Filtering (signal processing)

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Proceedings Article | 28 June 2001 Paper

3D distance-weighted Wiener filter for Poisson noise reduction in sinogram space for SPECT imaging

Hongbing Lu, Lihong Li, Zhengrong Liang, Guoping Han, Jui-His Cheng

Proceedings Volume 4320, (2001) https://doi.org/10.1117/12.430936

KEYWORDS: Filtering (signal processing), Electronic filtering, Single photon emission computed tomography, Signal attenuation, Signal to noise ratio, Denoising, Image filtering, Interference (communication), 3D image processing, Linear filtering

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Proceedings Article | 21 May 2001 Paper

New method for quantitative analysis of multiple scelerosis using MR images

Dongqing Chen, Zhengrong Liang, C. Christodoulou, Lauren Krupp, Lihong Li, Huayuan Qian, Wei Huang

Proceedings Volume 4321, (2001) https://doi.org/10.1117/12.428160

KEYWORDS: Image segmentation, Brain, Magnetic resonance imaging, Tissues, Neuroimaging, Quantitative analysis, Image processing algorithms and systems, 3D image processing, Image registration, 3D metrology

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Showing 5 of 46 publications

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