Detection of substantia nigra echogenicities in 3D transcranial ultrasound for early diagnosis of Parkinson disease

Olivier Pauly, Seyed Ahmad Ahmadi, Annika Plate, Kai Boetzel, Nassir Navab

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

22 Zitate (Scopus)

Abstract

Parkinson’s disease (PD) is a neurodegenerative movement disorder caused by decay of dopaminergic cells in the substantia nigra (SN), which are basal ganglia residing within the midbrain area. In the past two decades, transcranial B-mode sonography (TCUS) has emerged as a viable tool in differential diagnosis of PD and recently has been shown to have promising potential as a screening technique for early detection of PD, even before onset of motor symptoms. In TCUS imaging, the degeneration of SN cells becomes visible as bright and hyper-echogenic speckle patches (SNE) in the midbrain. Recent research proposes the usage of 3D ultrasound imaging in order to make the application of the TCUS technique easier and more objective. In this work, for the first time, we propose an automatic 3D SNE detection approach based on random forests, with a novel formulation of SNE probability that relies on visual context and anatomical priors. On a 3D-TCUS dataset of 11 PD patients and 11 healthy controls, we demonstrate that our SNE detection approach yields promising results with a sensitivity and specificity of around 83%.

OriginalspracheEnglisch
TitelMedical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings
Redakteure/-innenNicholas Ayache, Herve Delingette, Polina Golland, Kensaku Mori
Herausgeber (Verlag)Springer Verlag
Seiten443-450
Seitenumfang8
ISBN (Print)9783642334535
DOIs
PublikationsstatusVeröffentlicht - 2012
Veranstaltung15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012 - Nice, Frankreich
Dauer: 1 Okt. 20125 Okt. 2012

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band7512 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012
Land/GebietFrankreich
OrtNice
Zeitraum1/10/125/10/12

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