A Semi-Automatic Method for Positioning a Femoral Bone Reconstruction for Strict View Generation
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作者:
Milano, Federico
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机构:
Univ Buenos Aires, FCEyN, Dept Comp Sci, Lab Complex Syst, RA-1053 Buenos Aires, DF, ArgentinaUniv Buenos Aires, FCEyN, Dept Comp Sci, Lab Complex Syst, RA-1053 Buenos Aires, DF, Argentina
Milano, Federico
[1
]
Ritacco, Lucas
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机构:
Italian Hosp Buenos Aires, Dept Biomed Informat, Buenos Aires, DF, ArgentinaUniv Buenos Aires, FCEyN, Dept Comp Sci, Lab Complex Syst, RA-1053 Buenos Aires, DF, Argentina
Ritacco, Lucas
[2
]
Gomez, Adrian
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机构:
Italian Hosp Buenos Aires, Dept Biomed Informat, Buenos Aires, DF, ArgentinaUniv Buenos Aires, FCEyN, Dept Comp Sci, Lab Complex Syst, RA-1053 Buenos Aires, DF, Argentina
Gomez, Adrian
[2
]
Gonzalez Bernaldo de Quiros, Fernan
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Italian Hosp Buenos Aires, Dept Biomed Informat, Buenos Aires, DF, ArgentinaUniv Buenos Aires, FCEyN, Dept Comp Sci, Lab Complex Syst, RA-1053 Buenos Aires, DF, Argentina
Gonzalez Bernaldo de Quiros, Fernan
[2
]
Risk, Marcelo
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机构:
Univ Buenos Aires, FCEyN, Dept Comp Sci, Lab Complex Syst, RA-1053 Buenos Aires, DF, ArgentinaUniv Buenos Aires, FCEyN, Dept Comp Sci, Lab Complex Syst, RA-1053 Buenos Aires, DF, Argentina
Risk, Marcelo
[1
]
机构:
[1] Univ Buenos Aires, FCEyN, Dept Comp Sci, Lab Complex Syst, RA-1053 Buenos Aires, DF, Argentina
[2] Italian Hosp Buenos Aires, Dept Biomed Informat, Buenos Aires, DF, Argentina
来源:
2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
|
2010年
关键词:
ANTEVERSION;
D O I:
10.1109/IEMBS.2010.5626799
中图分类号:
R318 [生物医学工程];
学科分类号:
0831 ;
摘要:
In this paper we present a semi-automatic method for femoral bone positioning after 3D image reconstruction from Computed Tomography images. This serves as grounding for the definition of strict axial, longitudinal and anterior-posterior views, overcoming the problem of patient positioning biases in 2D femoral bone measuring methods. After the bone reconstruction is aligned to a standard reference frame, new tomographic slices can be generated, on which unbiased measures may be taken. This could allow not only accurate inter-patient comparisons but also intra-patient comparisons, i.e., comparisons of images of the same patient taken at different times. This method could enable medical doctors to diagnose and follow up several bone deformities more easily.