Transcript Document 7730613

Control and Intelligent Processing
Center of Excellence
“Intelligent Signal and Image
Processing Group”
Department of
Electrical and Computer Engineering
University of Tehran
August 21, 2004
Introduction
 Scope and Definition
Develop, evaluate, and apply novel approaches for
processing of signals and images using
mathematical models and a priori knowledge
 Objectives
Improve the quality of acquired signals and
images and extract quantitative and qualitative
information from them
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Sub-projects and Research Directions
 Characterization of tissue abnormalities using magnetic resonance
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spectroscopic images (MRSI)
Computerized systems for image-guided neuro-surgery
Detection of brain activations from functional magnetic resonance images
(fMRI)
Estimation of directions of neuronal fibers in brain using diffusion tensor
images (DTI)
Displaying, processing, and archival of medical images
Multi-spectral segmentation and characterization methods for brain tumors
Segmentation and characterization of brain structures from magnetic
resonance images (MRI)
Suppression of image noise using mutual information
Ultrasonic imaging and Doppler flow estimation
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Main Achievements & Contributions
 Development of a computerized neuro-navigator
system for neuro-surgery
 Development of a minimum system software for
displaying, processing, and archival of medical
images
 Development of a Doppler ultrasound system
 Development of a phased array ultrasound system
for hyperthermia treatment
 Publication of papers
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Publications
Number of Journals Publications: 34
Number of Conferences Publications: 86
Selected Publications
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H. Soltanian-Zadeh, F. Rafiee-Rad, S. Pourabdollah-Nazhad, “Comparison of Multi-Wavelet,
Wavelet, Haralick, and Shape Features for Microcalcification Classification in Mammograms,”
Pattern Recognition, vol. 37, no. 10, pp. 1973-1986, Oct. 2004.
H. Jahanian, G.A. Hossein-Zadeh, H. Soltanian-Zadeh: “Controlling the False Positive Rate in
Fuzzy Clustering Using Randomization: Application to fMRI Activation Detection,” Magnetic
Resonance Imaging, vol. 22, pp. 631–638, June 2004.
L. Amini, H. Soltanian-Zadeh, C. Lucas, M. Gity: “Automatic Segmentation of Thalamus from
Brain MRI Integrating Fuzzy Clustering and Dynamic Contours,” IEEE Trans. Biomed. Eng., vol.
51, no. 5, pp. 800-811, May 2004.
H. Soltanian-Zadeh, D.J. Peck, and D.O. Hearshen, and Renee R. Lajiness-O'Neill: “ModelIndependent Method for fMRI analysis.” IEEE Transactions on Medical Imaging, vol. 23, no. 3,
pp. 285-296, March 2004.
M. Maddah, H. Soltanian-Zadeh, A. Afzali-Kusha: “Snake modeling and distance transform
approach to vascular centerline extraction and quantification,” Computerized Medical Imaging and
Graphics, vol. 27, no. 6, pp. 503-512, Nov.-Dec. 2003.
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People in the R&D Group
 Principle Investigator
Soltanian-Zadeh, Hamid, PhD
 Faculty Members
Aghaei-Zadeh-Zoroofi, Reza, PhD
Hossein-Zadeh, Gholam-Ali, PhD
Lucas, Caro, PhD
Nili-Ahmadabadi, Majid, PhD
Setarehdan, Seyed-Kamaloddin, PhD
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People in the R&D Group
 Students
Akhoundi-Asl, Alireza
Asadi, Naser
Batmanghlish, Keyhan
Farjam, Reza
Golestani, Ali
Hesaraki, Alireaz
Karimi-Golpayegani, Keyvan
Khaleghian, Mehdi
Maddah, Mahnaz
Momeni, Dariyoush
Rafi, Hesan
Tahayyori, Bahman
Yazdan-Shahmorad, Azadeh
Zeydabadi, Mahmoud
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Amini, Ladan
Babajani, Abbas
Borgheai, Bahram
Fatemi-Zadeh, Emadoddin
Gooya, Ali
Jahanian, Hesamoddin
Karimi, Mahdi
Kowsari, Taha
Mohammadi, Arash
Nekooei, Mohammad-Hossein
Shams, Seyed-Mohammad
Taymour-Ghasem-Abadi, Alireza
Zamani, Pouria
Zia-Alinasabpour, Masoud
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Test-beds and International Projects
 Test-beds
Biomedical signals and images
 Relevant International Projects
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Segmentation and characterization of ischemic
tissues
Multi-modality characterization of epilepsy
Texture analysis of medical images
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Future Projects and Directions
 Extend mutual information approach to multi-
dimensional problems
 Develop deformable organisms for image
segmentation and characterization
 Develop fMRI analysis methods for group
inference from multi-subject studies
 Develop mathematical models for brain
deformations for neuro-surgery applications
 Develop mathematical models and methods for
simultaneous analysis of MEG and fMRI
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