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Details of Grant 

EPSRC Reference: GR/R09039/01
Title: Topographic Distribution of Bone Moduli In the Mandible & Femur & Their Correlations With CT Scanning
Principal Investigator: Seedhom, Dr BB
Other Investigators:
Berry, Dr E
Researcher Co-Investigators:
Project Partners:
Department: School of Medicine
Organisation: University of Leeds
Scheme: Standard Research (Pre-FEC)
Starts: 08 March 2001 Ends: 07 September 2001 Value (£): 20,066
EPSRC Research Topic Classifications:
Bioelectronic Devices Biomaterials
EPSRC Industrial Sector Classifications:
Related Grants:
Panel History:  
Summary on Grant Application Form
This application is foe extension of time to complete the work described in the following paragraph, which will have had the measurements completed on the mandibles but not the femora. The proposed research below is the same as the original application. (see letter ( section 2.5).6 human mandibles and 6 midshaft sections of the femur will be used in this study. Each specimen will be CT scanned (together with a calibration phantom) - Spiral scanning from inferior to superior part of jaw (or femur) will be performed using a Philips CT700 scanner. The reconstructed slice thickness will be 1mm. ROI measurements of the CT number will be taken slice by slice, and average values calculated for 20 sections corresponding to the sections described in the mechanical testing description. Once the imaging procedure is completed the mandible (femur) will be divided into sections which will be labelled and photographed. For each of these two sections a number of test specimens will be obtained in two or three directions (depending on section thickness) for the determination of the bone tensile modulus at the harvesting site. The measurement will be made using a specialised 3 - point bending apparatus. On completion of the above measurements the topographic variations in the bone properties will thus be established and a comparison between these variations and those in the ROI measurements of the CT scan number will be made to see if a regression exists between the two sets of data.
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Organisation Website: http://www.leeds.ac.uk