Shadi Al Zubi
Email Shadi.alzubi@brunel.ac.uk
Office: Room H300, Howell building
Phone: +44(0)1895 266694
PhD Supervisors: Dr. Maysam Abbod, Prof. Wamadeva Balachandran
Research Area: Biomedical Engineering – Image processing
Academic Qualification:
- Bachelor degree from Jordan University of Science and Technology (JUST) in Computer and Network Engineering – Ramtha/Jordan – 2007.
- Master degree from University of Technology, Sudney (UTS) in Telecommunication Network Management – Sydney/Australia – 2008.
Research Interests:
The area of interest is medical image processing and segmentation for radiotherapy planning and cancer diagnosis.
Interested also in other applications of general image processing such as vehicle tracking, Biometrics, Hand writing recognition.
PhD Research:
Many medical image segmentation techniques have been employed to facilitate the process of cancer detection. Each process has its pros and cons. The main aim of this research is to enhance the application of some segmentation techniques on medical volumes to make them more accurate and faster in computational time.
3D volume segmentation is the process of partitioning voxels into 3D regions (sub-volumes) that represent meaningful physical entities that are more meaningful and easier to analyze, and usable in future applications. Multi-Resolution Analysis (MRA) allow for the preservation of an image according to certain levels of resolution or blurring. Because of multi-resolution quality, wavelets have been useful in image compression, image de-noising, and image classification.
This research focuses on the implementation of medical volume segmentation techniques. Multi-resolution analysis, including wavelet transform, radon transform, and ridgelet transform have been used for feature extraction and the statistical modelling using hidden Markov models for segmentation. Different types of each transform were implemented depending on the level of the decompositions, filter type and structure, and block size. Interesting and useful conclusions of using 3D MRA for medical volume segmentation have been presented.
Publications
Journal Publications:
- Shadi AlZu'bi and Abbes Amira, “3D Medical Volume Segmentation Using Hybrid Multiresolution Statistical Approaches,” Advances in Artificial Intelligence, vol. 2010, 2010.
- Shadi AlZu'bi and Maysam Abbod, “Multi-resolution Analysis using Wavelet, Ridgelet, and Curvelet Transforms for Medical Image Segmentation,” International Journal of Biomedical Imaging, vol. 2010, 2010.
Referred Conference Publications:
- Shadi AlZu'bi and Abbes Amira, "Multiresolution statistical Approaches for 3D medical Imaging," The graduate school research student poster conference, Brunel University-West London, May, 2009. [Poster Presentation]
- Shadi AlZu'bi and Abbes Amira, "Efficient Implementation of Wavelet Packet for Medical Image Segmentation and Analysis," The second SED research student conference (RESCON 2009), Brunel University-West London, June, 2009.
- Shadi AlZu'bi and Abbes Amira, "Efficient Implementation of Wavelet Packet for Medical Image Segmentation and Analysis," The second SED research student conference (RESCON 2009), Brunel University-West London, June, 2009. [Poster Presentation]
- Shadi AlZu'bi and Maysam Abbod, "3D Multiresolution Analysis for Segmenting Reduced Features Medical Volumes Using PCA," The Third SED research student conference (RESCON 2010), Brunel University-West London, June, 2010.
- Shadi AlZu'bi, Naveed Islam and Maysam Abbod, “3D Multiresolution Analysis for Reduced Features Segmentation of Medical Volumes Using PCA,” 2010 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS 2010), Kuala Lumpur, Malaysia, 2010.
- Shadi AlZu'bi, Naveed Islam and Maysam Abbod, “Enhanced Hidden Markov Models for Accelerating Medical Volumes Segmentation,” The 6th 2011 IEEE GCC Conference and Exhibition (IEEE GCC), Dubai, UAE, 2011.
- Shadi AlZu'bi and Hamideh Rezaee, “Tracking and Occlusion Handling in Multi- Sensor Networks by Particle Filter,” The 6th 2011 IEEE GCC Conference and Exhibition (IEEE GCC), Dubai, UAE, 2011.
- Shadi AlZu'bi, “Multiresolution Analysis for Medical Image Segmentation,” The 6th 2011 IEEE GCC Conference and Exhibition (IEEE GCC), Dubai, UAE, 2011. [Poster Presentation]
- Shadi AlZu'bi and Maysam Abbod, “Efficient Implementation and Evaluation of Wavelet Packet for Medical Image Segmentation,” Jordanian International Electrical and Electronics Engineering Conference (JIEEEC 2011), Amman, Jordan, April, 2011.
- Shadi AlZu'bi and Maysam Abbod, “Multi-Resolution Analysis using Curvelet and Wavelet Transforms for Medical Imaging,” Jordanian International Electrical and Electronics Engineering Conference (JIEEEC 2011), Amman, Jordan, April, 2011.
