UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Imaging and segmentation of bone in neurological magnetic resonance

Yoo, Done-Sik; (1998) Imaging and segmentation of bone in neurological magnetic resonance. Doctoral thesis (Ph.D), UCL (University College London). Green open access

[thumbnail of Imaging_and_segmentation_of_bo.pdf] Text

Download (13MB)


Magnetic resonance imaging (MRI) is a modality capable of providing excellent contrast for soft tissues, yet it provides very little information about bone, which, by contrast, can be seen clearly in CT images. This project attempts to remedy this limitation by expanding the visualisation capability of MRI to include details of skull boundary. The potential benefits of this advance include the accurate co-registration of MRI and CT or MRI and MRI image data, as used in frameless surgery planning; the avoidance of harmful radiation, a problem encountered in CT skull visualisation; modelling of electrical conductivity in the head; and cranioplasty planning. In addition, the method developed will potentially be helpful for the measurement of brain volume, especially small changes in voxel size, which is used in the quantitative assessment of changes in neurological diseases. Skull edge detection is made difficult due to the partial volume effect, strong edges between muscle and scalp, the thin appearance of the skull in the temporal region and strong edges near the superior sagittal sinus. Imaging artefacts including chemical shift and magnetic susceptibility shift have also been investigated quantitatively and qualitatively. To detect skull contours, a new fully automatic computer algorithm has been developed and the results of the method have been validated.

Type: Thesis (Doctoral)
Qualification: Ph.D
Title: Imaging and segmentation of bone in neurological magnetic resonance
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; Bone imaging
URI: https://discovery.ucl.ac.uk/id/eprint/10102693
Downloads since deposit
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item