I passed the phd viva examination in 29 April 2010

After having spent 3 years in CMIAG, School of Computer Science, University of Nottingham, I submitted my PhD thesis  in 5 March 2010. Finally, in 29 April 2010 (Thursday), I passed the PhD viva examination successfully. From 5th of March to 29 April, two examiners were assigned by the University in order to evaluate my thesis. I am the first CS Marie Curie Fellow in CMIAG rewarded the title PhD.

At Universities in UK, there are two or at most three examiners, and the examination is in many universities strictly in private. Thanks to the internal and external examiners for their independent, fair examination, and  invaluable comments, analysis, and critics.

My PhD dissertation title is “Automatic Anatomy Recognition and Registration”, which tackles two major challenges in medical image analysis, segmentation and registration. Specifically, I present a novel anatomy recognition algorithm for assisting image segmentation tasks, and a novel image registration framework for accurately aligning images.Whilst the anatomy recognition study considers different applications using MR and CT images, the image registration study uses MR and histological images. The thesis is available chapter by chapter.  Here is the content:

PART I:

Chapter 3: Shape Model (Overview, Representation of Shapes, Single Object Active Shape Model, Multi-Object Active Shape Model, Concluding Remarks)

Chapter 4: Relationship between Shape and Intensity Structure System (shape and intensity structure system, positioning shape within image intensity structures, determining shape pose in relation to image intensity structure, concluding remarks)

Chapter 5: Hierarchical Recognition (hieararchical recognition, coarse-to-fine recognition, graph-cut segmentation, iterative graph-cut active shape model (igcasm), concluding remarks)

Chapter 6: Evaluations (recognition and delineation results)

Chapter 7: The role of intensity standardisation on anatomy recognition

PART II

Chapter 9: Registration of Histological Slices (methods, Automatic Best Reference Slice Selection, 3d reconstruction and evaluation, conclusion)

Chapter 10: The role of intensity standardisation in medical image registration

I have also other chapters explaining overview, literature reviews, conclusions and discussions. Anyone interested in the thesis work can contact to me via email : ulasbagci@gmail.com.

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