TY - GEN
T1 - An automated method to estimate femoral shape and mineral mass
AU - Pau, Danilo Pietro
AU - Bao, Xinfeng
AU - Masala, Daniele
AU - Gnemmi, Alberto
AU - Entwistle, Rachel C.
AU - Dragomir-Daescu, Dan
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - Medical assessment of bone health often uses quantitative computed tomography (QCT) scans and requires a reliable segmentation of bone geometry from surrounding tissue for a quick determination of bone mineral mass. Because of its shape and position in the body, the femur is one of the most challenging bones to investigate. In the current study we developed a new automated way to accurately evaluate both the shape and the mineral mass of cadaveric femora. The results were achieved through a series of steps including the segmentation of bone tissue from sets of QCT images, the estimation of the bone's outer surface, the calculation of the volume enclosed, and finally the evaluation of bone mineral mass in a user-defined region. We compared our algorithms results to results obtain by expert manual segmentation and results obtained using other published methods. This new method has the potential to be used in the clinic with patient QCT scans as a fast and reliable tool for diagnostics.
AB - Medical assessment of bone health often uses quantitative computed tomography (QCT) scans and requires a reliable segmentation of bone geometry from surrounding tissue for a quick determination of bone mineral mass. Because of its shape and position in the body, the femur is one of the most challenging bones to investigate. In the current study we developed a new automated way to accurately evaluate both the shape and the mineral mass of cadaveric femora. The results were achieved through a series of steps including the segmentation of bone tissue from sets of QCT images, the estimation of the bone's outer surface, the calculation of the volume enclosed, and finally the evaluation of bone mineral mass in a user-defined region. We compared our algorithms results to results obtain by expert manual segmentation and results obtained using other published methods. This new method has the potential to be used in the clinic with patient QCT scans as a fast and reliable tool for diagnostics.
KW - Femur QCT
KW - Femur shape
KW - Finite element analyses (FEA)
KW - Interactive 3-D model
KW - Medical imaging
KW - Mineral mass
UR - http://www.scopus.com/inward/record.url?scp=84863654443&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863654443&partnerID=8YFLogxK
U2 - 10.2316/P.2012.764-004
DO - 10.2316/P.2012.764-004
M3 - Conference contribution
AN - SCOPUS:84863654443
SN - 9780889869097
T3 - Proceedings of the 9th IASTED International Conference on Biomedical Engineering, BioMed 2012
SP - 612
EP - 617
BT - Proceedings of the 9th IASTED International Conference on Biomedical Engineering, BioMed 2012
T2 - 9th IASTED International Conference on Biomedical Engineering, BioMed 2012
Y2 - 15 February 2012 through 17 February 2012
ER -