Computational Breast Imaging Group - Members

Shandong Wu, Ph.D.

Shandong Wu, Ph.D.

Postdoctoral Researcher

Contact Information:

University of Pennsylvania
School of Medicine
Department of Radiology
3600 Market Street, Suite 360
Philadelphia PA, 19104
Office: 215-615-0825
Fax: 215-349-8972

Education & Training:

  • Ph.D. in Robot Vision, 2004-2008 (City University of Hong Kong)
  • M.Sc. in Computer Science, 2000-2003 (Shanghai University)
  • B.Sc. in Computer Science, 1994-1998 (Shanghai University)
  • Postdoctoral Associate, Computer Vision Lab, 2009-2011 (University of Central Florida)
  • Research Assistant (part-time), Machine Vision Research Lab, 2007-2008 (City University of Hong Kong)
  • Lecturer, School of Computer Engineering and Science, 2003-2004 (Shanghai University)
  • Research Assistant and Student Mentor, School of Computer Engineering and Science, 1998-2000 (Shanghai University)

Professional Affiliations:

  • IEEE

Research Interests:

My research is in a broad area in Computer Vision, Biomedical Image Analysis, and robotics. My meta-interest lies in cutting edge computational vision techniques and interdisciplinary research with the goal of leveraging the technical strengths in computational science to boost translational biomedical applications. Currently I am dedicated to the following two main research themes:

  1. Biomedical image analysis: I have growing interests in translating advanced computer vision and imaging processing techniques to meeting practical demands in clinical and biological applications. This enables me to go beyond a pure computational scientist to discovery important and challenging biomedical imaging problems and then propose solutions. I enjoy working very closely with clinicians and biologists. I led a NIH-sponsored project on human brain tumor detection in MR images during my postdoc training at UCF where I investigated a low-rank optimization algorithm for batch processing of brain tumor segmentation and contributed an interactive volumetric tumor segmentation system developed by using ITK and VTK, which is found potentially and practically useful as a computer-aided diagnosis tool for radiologists and oncologists. Biologically, I was applying 3D volumetric reconstruction to examine XGAL+ cells in adult mouse heart. I was also involved in stem cell analysis for drug compound screening through glial cell segmentation and neuron tracking in phase-contrast microscopy images/videos. Currently I focus on breast MR imaging analysis to investigate quantitative risk biomarkers for personalized breast cancer risk assessment in high-risk women screening. Related work includes breast segmentation, fibroglandular tissue segmentation, enhancement segmentation, and the characterization of parenchymal and enhancement patterns.
  2. Visual motion analysis: This entails classic computer vision tasks such as action/behavior/activity/crowd analysis (segmentation, description, perception, recognition, learning, anomaly detection, etc.). My favorite motion feature is "motion trajectory" and I have specific interest in designing trajectory-oriented descriptors. I have been actively investigating clustered particle trajectories for crowd scene analysis and anomaly detection. I am also extending the work for human action recognition with moving cameras using the decomposed motion components from particle trajectories. Previously I pioneered the investigation of a systematic signature-based motion trajectory descriptor in my Ph.D. study. I also correlate the motion analysis with robot learning in context of visual learning by demonstration, where I pursue to enable a robot to actively learn generalized human demonstrated tasks through leveraging the signature descriptor of the demonstrations.

Research Specifics include:

  • Medical/Biological Image Analysis: breast MRI analysis, breast segmentation, fibroglandular tissue segmentation, breast tissue likelihood atlas, DCE-MRI biomarker for risk assessment; brain tumor detection from MRI, subspace decomposition for tumor segmentation, ITK+VTK, tissue symmetry detection; volumetric cell reconstruction; stem cell segmentation and tracking in phase-contrast microscopy images;
  • Computer Vision: human/robot action/behavior/activity recognition and learning, video surveillance, motion trajectory descriptor, crowded scene analysis, shape representation, chaotic invariants, time series analysis, anomaly detection, motion prediction, visual search;
  • Robotics: robot task descriptor, robot learning by demonstration (imitation learning), distributed robot control, computing grid-based multi-robot collaboration, mobile agent, hand-held device-based (remote) robot control

Current Research Topics:

  • Automatic whole-breast segmentation in breast MRI.
  • Automatic fibroglandular tissue segmentation in breast MRI.
  • Automatic contrast enhancement estimation from breast DCE-MRI.
  • Clinical applications of fibroglandular tissue and enhancement assessment as risk biomarkers.

Professional Affiliations:

  • Member, IEEE (Institute of Electrical and Electronics Engineers)
  • Member-in-Training, RSNA (Radiological Society of North America)

Selected Publications and Presentations:

  • Shandong Wu and Y.F. Li, "On Signature Invariants for Effective Motion Trajectory Recognition," The International Journal of Robotics Research, vol. 27, no. 8, pp. 895-917, Aug. 2008.
  • Shandong Wu and Y.F. Li, "Flexible Signature Descriptions for Adaptive Motion Trajectory Representation, Perception and Recognition," Pattern Recognition, vol. 42, no. 1, pp. 194-214, Jan. 2009.
  • Shandong Wu and Y.F. Li, "Motion Trajectory Reproduction from Generalized Signature Description," Pattern Recognition, vol. 43, no. 1, pp. 204-221, Jan. 2010.
  • Kingsley Osuala, Kathleen Telusma, Saad M. Khan, Shandong Wu, Mubarak Shah, Candice Baker, Sabikha Alam, Ibrahim Abukenda, Aura Fuentes, Hani B. Seifein, and Steven N. Ebert, "Distinctive left-sided distribution of adrenergic-derived myocytes in the adult mouse heart," PLoS One 6(7): e22811, 2011.
  • Shandong Wu, Yimin Chen, and Yongyi He, "A Loosely Coupled Control Architecture Based on Agent and CORBA for Multiple Robots," High Technology Letters, Vol. 9, No. 4, pp. 17-20, Dec. 2003.
  • Shandong Wu, Susan P. Weinstein, and Despina Kontos, "Atlas-Based Probabilistic Fibroglandular Tissue Segmentation in Breast MRI," Medical Image Computing & Computer-Assisted Intervention (MICCAI), Part II, Lecture Notes in Computer Science (LNCS) 7511, pp. 437-445. H. Delingette, P. Golland, K. Mori (eds.). Springer-Verlag Berlin Heidelberg, 2012.
  • Shandong Wu, Susan P. Weinstein, Brad Keller, Emily F. Conant, Despina Kontos, "Fully-automated Fibroglandular Tissue Segmentation in Breast MRI," 11th International Workshop on Breast Imaging (IWDM), Lecture Notes in Computer Science (LNCS) 7361, pp. 244-251. A. Madiment, P. Bakic, S. Gavenonis (eds). Springer-Verlag Berlin Heidelberg, 2012.
  • Shandong Wu, Susan P. Weinstein, Emily F. Conant, A. Russell Localio, Mitchell D. Schnall, and Despina Kontos, "Fully automated chest wall line segmentation in breast MRI by using context information," Medical Imaging 2012: Computer-Aided Diagnosis, edited by Bram van Ginneken, Carol L. Novak, Proceedings of SPIE 8315, 831507, 2012. (Oral presentation)
  • Shandong Wu, Susan P. Weinstein, Emily F. Conant, Despina Kontos, "Fully-automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI by integrating a continuous max-flow model and a likelihood atlas," SPIE Medical Imaging 2013: Computer-Aided Diagnosis. (Oral presentation)
  • Shandong Wu, Jayaram K. Udupa, Aikaterini Marinaki, Susan P. Weinstein, Despina Kontos, "Intensity standardization in breast MR images for improving breast tissue quantification," SPIE Medical Imaging 2013: Physics of Medical Imaging. (Oral presentation)
  • Shandong Wu, David J. Rippe, Nicholas G. Avgeropoulos, "Tumor segmentation in brain MRI by sparse optimization," SPIE Medical Imaging 2013: Image Processing. (Oral Presentation)
  • Shandong Wu, Nicholas G. Avgeropoulos, David J. Rippe, "Computer-assisted identification and volumetric quantification of enhancement in brain MRI: an interactive system," SPIE Medical Imaging 2013: Advanced PACS-based Imaging Informatics and Therapeutic Applications. (Oral Presentation)
  • Shandong Wu, Omar Oreifej, Mubarak Shah, "Action Recognition in Videos Acquired by a Moving Camera Using Motion Decomposition of Lagrangian Particle Trajectories," International Conference on Computer Vision (ICCV), Barcelona, Spain, 6-13 Nov. 2011. [Acceptance rate: 20%]
  • Shandong Wu, Brian E. Moore, and Mubarak Shah, "Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, USA, June 13-18, 2010. [Acceptance rate: 22.3%]
  • Shandong Wu, Y.F. Li, and Jianwei Zhang, "Probabilistic Cluster Signature for Modeling Motion Classes," IEEE International Conference on Intelligent Robots and Systems (IROS), St. Louis, MO, USA, October 11-15, 2009.
  • Shandong Wu, Y.F. Li, and Jianwei Zhang, "Signature Based Task Description and Perception for Motion Trajectory Oriented Robot Learning," IEEE International Conference on Robotics and Biomimetics (ROBIO), Bangkok, Thailand, Dec. 14 -17, 2008, pp. 1123-1128.
  • Shandong Wu, Y.F. Li, and Jianwei Zhang, "Invariant Signature Description and Trajectory Reproduction for Robot Learning by Demonstration," in Proc. IEEE International Conference on Intelligent Robots and Systems (IROS), Nice, France, Sep. 22-26, 2008, pp. 4060-4065.
  • Shandong Wu, Y.F. Li, and Jianwei Zhang, "A Hierarchical Motion Trajectory Signature Descriptor," in Proc. IEEE International Conference on Robotics and Automation (ICRA), Pasadena, CA, USA, May 2008, pp. 3070-3075.