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A relocatable head frame for the geometric correlation of brain images and their integration with stereotactic procedures

Gill, Steven Streatfield; (1994) A relocatable head frame for the geometric correlation of brain images and their integration with stereotactic procedures. Masters thesis (M.S), UCL (University College London). Green open access

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Abstract

Brain images from Computerised Tomography (CT), Magnetic Resonance Imaging (MRI), Magnetic Resonance Spectroscopy (MRS), and Positron Emission Tomography (PET), contain complementary anatomical and physiological information. The precise geometric correlation of these different imaging modalities and their integration with stereotactically guided procedures is of critical importance for neurological research, diagnosis and treatment. Classical stereotactic surgery has required an invasive method of fixation to the head which has been a definite constraint on the frequency with which a frame may be applied for multiple imaging and guided procedures. The problem of integrating multiple brain images with stereotactic procedures has been solved by the development of a stereotactic frame which can be rigidly fixed to the head non-invasively and which is accurately relocatable. Brain images are spatially matched with reference to the frame in a 3D computer matrix and can be displayed in any combination or form. The system has been tested and applied in a number of clinical settings including lesion biopsy and correlation of histology with image data, functional thalamotomy, serial follow up of gliomas and focused irradiation of brain tumours and arterio-venous malformations.

Type: Thesis (Masters)
Qualification: M.S
Title: A relocatable head frame for the geometric correlation of brain images and their integration with stereotactic procedures
Open access status: An open access version is available from UCL Discovery
Language: English
Additional information: Thesis digitised by ProQuest.
Keywords: Health and environmental sciences; Brain imaging
URI: https://discovery.ucl.ac.uk/id/eprint/10102609
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