PublicationDetail

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

A. Plate, A. Ahmadi, O. Pauly, T. Klein, N. Navab, K. Bötzel
3D Sonographic Examination of the Midbrain for Computer-Aided Diagnosis of Movement Disorders
To appear: Ultrasound in Medicine and Biology, ELSEVIER, Christy K. Holland (Editor), accepted for publication July 21 2012 (bib)

We present a novel approach to transcranial B-mode sonography for Parkinson’s Disease (PD) diagnosis by using 3D ultrasound (3DUS). We reconstructed bilateral 3DUS volumes of the midbrain and Substantia nigra echogenicities (SNE) and report results of a more objective abnormality detection in PD. For classification, we analyzed volumetric measurements of midbrain and SNE in subjects with PD and healthy controls (HC). After blinded segmentation of these structures in 22/23 subjects (11 PD, 11 HC) and by two observers with varying prior experience in this technique, the classification algorithm yielded up to 91% sensitivity and 64% specificity using the larger volume of both SNE as a single-dimensional features and up to 90.9% sensitivity and 72.7% specificity using a multi-dimensional feature set with midbrain and both SNE volumes. This pilot study indicates that our TC-3D-US approach is technically feasible and less dependent on the investigator’s experience and good bone windows. Our pilot study yielded a fairly high sensitivity and specificity in differentiating between subjects with PD and HC.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each authors copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.



Edit | Attach | Refresh | Diffs | More | Revision r1.11 - 19 Jul 2016 - 16:26 - NassirNavab

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif