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  4. Automatic sentinel lymph node localization in head and neck cancer using a coupled shape model algorithm
 
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2017
Conference Paper
Title

Automatic sentinel lymph node localization in head and neck cancer using a coupled shape model algorithm

Abstract
The localization and analysis of the sentinel lymph node for patients diagnosed with cancer, has significant influence on the prognosis, outcome and treatment of the disease. We present a fully automatic approach to localize the sentinel lymph node and additional active nodes and determine their lymph node level on SPECT-CT data. This is a crucial prerequisite for the planning of radiation therapy or a surgical neck dissection. Our approach was evaluated on 17 lymph nodes. The detection rate of the lymph nodes was 94%; and 88% of the lymph nodes were correctly assigned to their corresponding lymph node level. The proposed algorithm targets a very important topic in clinical practice. The first results are already very promising. The next step has to be the evaluation on a larger data set.
Author(s)
Jung, Florian
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Biebl-Rydlo, Medea
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Daisne, Jean-François
Univ. Catholique de Louvain
Wesarg, Stefan  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures  
Conference
International Workshop on Computer Assisted and Robotic Endoscopy (CARE) 2017  
International Workshop on Clinical Image-Based Procedures (CLIP) 2017  
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2017  
DOI
10.1007/978-3-319-67543-5_13
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • medical application

  • medical diagnosis

  • oral cancer

  • Lead Topic: Individual Health

  • Research Line: Human computer interaction (HCI)

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