Midbrain segmentation in transcranial 3d ultrasound for parkinson diagnosis

Authors:
Seyed-Ahmad Ahmadi;Maximilian Baust;Athanasios Karamalis;Annika Plate;Kai Boetzel;Tassilo Klein;Nassir Navab
Affiliations:
Computer Aided Medical Procedures, Technische Universität München, Germany;Computer Aided Medical Procedures, Technische Universität München, Germany;Computer Aided Medical Procedures, Technische Universität München, Germany;Department of Neurology, Ludwig-Maximilians-University of Munich, Germany;Department of Neurology, Ludwig-Maximilians-University of Munich, Germany;Computer Aided Medical Procedures, Technische Universität München, Germany;Computer Aided Medical Procedures, Technische Universität München, Germany
Venue:
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
Year:
2011

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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 hyperechogenicities 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 TCUS and demonstrate its potential benefit on a database of 11 diagnosed Parkinson patients and 11 healthy controls.