Midbrain Segmentation in Transcranial 3D Ultrasound for Parkinson Diagnosis
Identifieur interne : 000257 ( Main/Exploration ); précédent : 000256; suivant : 000258Midbrain Segmentation in Transcranial 3D Ultrasound for Parkinson Diagnosis
Auteurs : Seyed-Ahmad Ahmadi [Allemagne, États-Unis] ; Maximilian Baust [Allemagne] ; Athanasios Karamalis [Allemagne] ; Annika Plate [Allemagne] ; Kai Boetzel [Allemagne] ; Tassilo Klein [Allemagne] ; Nassir Navab [Allemagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
Abstract
Abstract: Ultrasound examination of the human brain through the temporal bone window, also called transcranial ultrasound (TC-US), is a completely non-invasive and cost-efficient technique, which has established itself for differential diagnosis of Parkinson’s Disease (PD) in the past decade. The method requires spatial analysis of ultrasound hyper-echogenicities produced by pathological changes within the Substantia Nigra (SN), which belongs to the basal ganglia within the midbrain. Related work on computer aided PD diagnosis shows the urgent need for an accurate and robust segmentation of the midbrain from 3D TC-US, which is an extremely difficult task due to poor image quality of TC-US. In contrast to 2D segmentations within earlier approaches, we develop the first method for semi-automatic midbrain segmentation from 3D TC-US and demonstrate its potential benefit on a database of 11 diagnosed Parkinson patients and 11 healthy controls.
Url:
DOI: 10.1007/978-3-642-23626-6_45
Affiliations:
- Allemagne, États-Unis
- Bavière, District de Haute-Bavière
- Munich
- Université Louis-et-Maximilien de Munich, Université technique de Munich
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