A Semi-Automatic Method for Positioning a Femoral Bone Reconstruction for Strict View Generation

被引:0
|
作者
Milano, Federico [1 ]
Ritacco, Lucas [2 ]
Gomez, Adrian [2 ]
Gonzalez Bernaldo de Quiros, Fernan [2 ]
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.
引用
收藏
页码:5608 / 5611
页数:4
相关论文
共 50 条
  • [1] Development of Semi-Automatic Bone Age Estimation Method
    Oh, Y.
    Lee, H.
    Kim, D.
    An, S.
    Lee, R.
    MEDICAL PHYSICS, 2011, 38 (06)
  • [2] A semi-automatic multi-view depth estimation method
    Wildeboer, Meindert Onno
    Fukushima, Norishige
    Yendo, Tomohiro
    Tehrani, Mehrdad Panahpour
    Fujii, Toshiaki
    Tanimoto, Masayuki
    VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2010, 2010, 7744
  • [3] Novel Semi-Automatic Reconstruction Method for Plastic Gynaecological Applicators
    Otal, A.
    Vijande, J.
    Ballester, F.
    Forner, A.
    Ripol, O.
    Monfa, C.
    Serrano, S.
    Perez-Calatayud, J.
    MEDICAL PHYSICS, 2019, 46 (06) : E231 - E232
  • [4] A semi-automatic algorithm for reconstruction and NURBS surface generation of thoracic aorta
    Koulountzios, Panagiotis I.
    Zervakis, Michael E.
    Karakitsios, Panagiotis L.
    Stavroulakis, Georgios E.
    2017 IEEE INTERNATIONAL CONFERENCE ON IMAGING SYSTEMS AND TECHNIQUES (IST), 2017, : 467 - 472
  • [5] Semantic Annotation for Semi-Automatic Positioning of the Learner
    Osenova, Petya
    Simov, Kiril
    LREC 2010 - SEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2010, : B46 - B50
  • [6] A method framework of semi-automatic knee bone segmentation and reconstruction from computed tomography (CT) images
    Humayun, Ahsan
    Rehman, Mustafain
    Liu, Bin
    QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2024, 14 (10) : 7151 - 7175
  • [7] Semi-automatic generation of adaptable architectures
    Subramanian, N
    Chung, L
    SERP'03: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING RESEARCH AND PRACTICE, VOLS 1 AND 2, 2003, : 149 - 154
  • [8] Semi-automatic generation of the BIM model view definition based on the IFC standard
    Yu, Fangqiang
    Zhang, Jianping
    Liu, Qiang
    Qinghua Daxue Xuebao/Journal of Tsinghua University, 2014, 54 (08): : 987 - 992
  • [9] Towards Semi-Automatic Reconstruction of Neural Circuits
    Albert Cardona
    Neuroinformatics, 2013, 11 : 31 - 33
  • [10] Towards Semi-Automatic Reconstruction of Neural Circuits
    Cardona, Albert
    NEUROINFORMATICS, 2013, 11 (01) : 31 - 33