TY - GEN
T1 - Computer assisted location of the lower limb mechanical axis
AU - Zarychta, Piotr
AU - Konik, Henryk
AU - Zarychta-Bargieła, Anna
PY - 2012
Y1 - 2012
N2 - The main aims of this research are the accuracy check control and ascertaining quality of a new method of knee joint alloarthroplasty. This method has two basic advantages. The first, the prosthesis location precision in the knee joint increases, secondary, the surgical procedure time shortens down to 45 - 60 min. As a result the infection susceptibility decreases.The first step of the presented method is finding the mechanical axis of the lower limb. In the second step, based on the analysis of each slice of a whole computer tomography series, a radiologist or an orthopedist has to qualify the pathology of bone structures within the knee joint. In this way the section planes within femur and tibia are determined. The third step is based on the three-dimensional model of femur and tibia. In order to extract bone structures from the computer tomography slices of the knee joint, the fuzzy C-means algorithm with median modification has been implemented. These images allow the three-dimensional structure of femur and tibia to be built. In the next step femur and tibia imprints have been created and the 3D models of both bones have been built. On the basis of the computer tomography slices of the knee joint the doctor has to indicate two healthy parts of both bones. Together with the created 3D models they permit building a patient-specific band with two gully holes. The gully holes are dedicated to Kirschner tool location marks. This special-individual band is apposed to selected bone structures of the knee joint during the surgery (knee alloarthroplasty).
AB - The main aims of this research are the accuracy check control and ascertaining quality of a new method of knee joint alloarthroplasty. This method has two basic advantages. The first, the prosthesis location precision in the knee joint increases, secondary, the surgical procedure time shortens down to 45 - 60 min. As a result the infection susceptibility decreases.The first step of the presented method is finding the mechanical axis of the lower limb. In the second step, based on the analysis of each slice of a whole computer tomography series, a radiologist or an orthopedist has to qualify the pathology of bone structures within the knee joint. In this way the section planes within femur and tibia are determined. The third step is based on the three-dimensional model of femur and tibia. In order to extract bone structures from the computer tomography slices of the knee joint, the fuzzy C-means algorithm with median modification has been implemented. These images allow the three-dimensional structure of femur and tibia to be built. In the next step femur and tibia imprints have been created and the 3D models of both bones have been built. On the basis of the computer tomography slices of the knee joint the doctor has to indicate two healthy parts of both bones. Together with the created 3D models they permit building a patient-specific band with two gully holes. The gully holes are dedicated to Kirschner tool location marks. This special-individual band is apposed to selected bone structures of the knee joint during the surgery (knee alloarthroplasty).
KW - 3D model of tibia and femur
KW - fuzzy c-means
KW - mechanical axis of the lower limb
UR - https://www.scopus.com/pages/publications/84862504206
U2 - 10.1007/978-3-642-31196-3_10
DO - 10.1007/978-3-642-31196-3_10
M3 - Conference contribution
AN - SCOPUS:84862504206
SN - 9783642311956
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 93
EP - 100
BT - Information Technologies in Biomedicine - Third International Conference, ITIB 2012, Proceedings
T2 - 3rd International Conference on Information Technologies in Biomedicine, ITIB 2012
Y2 - 11 June 2012 through 13 June 2012
ER -