Wang, Jing Yi; (2001) The application of 3D image registration techniques in diagnosis and therapy. Masters thesis (M.Phil), UCL (University College London).

Text The_application_of_3D_image_re.pdf Download (5MB)

Abstract

In recent years, rapid developments in medical 3D scanner technology have led to a major increase in the amount of information available to the physician. Image data are acquired using techniques like CT, MR, SPECT and PET. In this thesis, I will give a general review of the base technique of registration and its clinical applications; report on using an image fusion technique to integrate these 3D multimodality images to develop a clinical therapy planning tod. The first aim of my project was to investigate the use of different kinds of registration methods on a group of children. Different kinds of registration methods are reviewed. The clinical on applications are discussed and some of our new work is reported. The second aim of our project was to produce registered and subtracted ictal and interictal SPECT images obtained from the children. In order to highlight the lesions, the transformed, normalised interictal images were subtracted from the normalised ictal image to create an image where the value for each pixel represents the intensity difference between the two data sets. The standard deviation (SD) of the distribution of the subtraction pixel intensities was calculated, and the subtraction image thresholded to display only pixels with values greater than 2 SDs above zero. Ictal SPECT provides unique information on the dynamic changes in regional cerebral blood flow (rCBF) that occur during seizure and, thus, could be useful in clarifying the poorly understood interplay of the interictal states in human focal epilepsy. The results were compared with the visual diagnosis and surgical outcome and enhanced the ability to localize the seizure foci. The future work will be based on improving the accuracy of the method of normalisation. The threshold range selection will be further investigated for different injection times. The size of the subtraction image highlights which correspond to the lesions will need further investigation.

Download activity - last month

Export as JSONXMLCSV

Download activity - last 12 months

Export as XMLCSVJSON

Downloads by country - last 12 months

Export as CSVXMLJSON

Archive Staff Only

View Item