Semi-automatic Detection of Corticalis Borders in Two-dimensional Radiographies to Improve Pre-operative Planning

Marc Schlimbach, Jürgen Wahrburg

2009

Abstract

This paper suggests an algorithm to detect corticalis borders in a radiograph. It is robust against occurring interferences in radiographies, because it is a global working procedure. This segmentation is part of semi-automatic assistant functions, which are developed to support surgical interventions. The algorithm will be introduced related to the calculation of the femoral CCD-Angle. Further subjects of the presented proposal cover special aspects when using a two-dimensional radiography for pre-operative planning instead of CT or MRT scans.

References

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Paper Citation


in Harvard Style

Schlimbach M. and Wahrburg J. (2009). Semi-automatic Detection of Corticalis Borders in Two-dimensional Radiographies to Improve Pre-operative Planning . In Proceedings of the 1st International Workshop on Medical Image Analysis and Description for Diagnosis Systems - Volume 1: Workshop MIAD, (BIOSTEC 2009) ISBN 978-989-8111-77-7, pages 62-73. DOI: 10.5220/0001814500620073


in Bibtex Style

@conference{workshop miad09,
author={Marc Schlimbach and Jürgen Wahrburg},
title={Semi-automatic Detection of Corticalis Borders in Two-dimensional Radiographies to Improve Pre-operative Planning},
booktitle={Proceedings of the 1st International Workshop on Medical Image Analysis and Description for Diagnosis Systems - Volume 1: Workshop MIAD, (BIOSTEC 2009)},
year={2009},
pages={62-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001814500620073},
isbn={978-989-8111-77-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Workshop on Medical Image Analysis and Description for Diagnosis Systems - Volume 1: Workshop MIAD, (BIOSTEC 2009)
TI - Semi-automatic Detection of Corticalis Borders in Two-dimensional Radiographies to Improve Pre-operative Planning
SN - 978-989-8111-77-7
AU - Schlimbach M.
AU - Wahrburg J.
PY - 2009
SP - 62
EP - 73
DO - 10.5220/0001814500620073