Brain volumetry estimation based on a suitable combination of statistic and morphological techniques

• Type: Article in International Conference Proceedings Book
• Date: 2008

Authors

Molina, JM (Author) Other; Silva, AJ (Author) Other; Guevara, MA (Author) Other; Cunha, JPS (Author) Other

Conference proceedings International

Title: Computational Vision and Medical Image Processing: VipIMAGE 2007

Pages: 269-274

I ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing: VipIMAGE 2007 Faculdade de Engenharia da Universidade do Porto, Porto, Portugal 17-19 October 2007

Faculdade de Engenharia da Universidade do Porto, Porto, Portugal, 17-19 October 2007

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Other information

Authenticus ID: P-005-5YQ

Abstract (EN): Magnetic Resonance Imaging has become one of the most important tools for anatomic and functional assessment of the complex brain entities. In neurology are present different indicators related with the brain volume measurements, which have a direct impact on several fields such as diagnosis, surgical planning, study of pathologies, disease preventing and tracking the evolution of diseases under (or not) medical treatments, etc. In this work we propose a new automatic brain volumetry estimation method based on the suitable combination of histogram analysis, optimal thresholding, prior geometric information and mathematical morphology techniques. To validate our method we compare our results with three different well established methods in the neuroscience community: Brain Extraction Tool, Brain Suite and Statistical Parametric Mapping. A dataset of 25 patient studies were evaluated concerning to precision, resolution as well as inter-examination features and statistically we demonstrated that our method present competitive results in relation to the others.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6