Multi-region Statistical Shape Model for Cochlear Implantation

Jordi Romera, H. Martin Kjer, Gemma Piella, Mario Ceresa, Miguel A. González Ballester

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


Statistical shape models are commonly used to analyze the variability between similar anatomical structures and their use is established as a tool for analysis and segmentation of medical images. However, using a global model to capture the variability of complex structures is not enough to achieve the best results. The complexity of a proper global model increases even more when the amount of data available is limited to a small number of datasets. Typically, the anatomical variability between structures is associated to the variability of their physiological regions. In this paper, a complete pipeline is proposed for building a multi-region statistical shape model to study the entire variability from locally identified physiological regions of the inner ear. The proposed model, which is based on an extension of the Point Distribution Model (PDM), is built for a training set of 17 high-resolution images (24.5 μm voxels) of the inner ear. The model is evaluated according to its generalization ability and specificity. The results are compared with the ones of a global model built directly using the standard PDM approach. The evaluation results suggest that better accuracy can be achieved using a regional modeling of the inner ear.
Original languageEnglish
Title of host publicationSPIE Medical Imaging 2016: Image Processing
Number of pages8
PublisherSPIE - International Society for Optical Engineering
Publication date2016
Article number97840T
ISBN (Print)9781510600195
Publication statusPublished - 2016
EventSPIE Medical Imaging 2016: Image Processing - San Diego, United States
Duration: 1 Mar 20163 Mar 2016
Conference number: 9784


ConferenceSPIE Medical Imaging 2016
Country/TerritoryUnited States
CitySan Diego
SeriesProceedings of SPIE - The International Society for Optical Engineering


  • Statistical Shape Model
  • Multi-Region
  • Anatomical Regions
  • Patient Specific Modeling
  • Inner ear
  • Cochlear Implantation


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