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Substantia nigra segmentation on neuromelanin-sensitive MRI
Author(s): Touseef Ahmad Qureshi; Elliot Hogg; Cody Lynch; Debiao Li; Michele Tagliati; Zhaoyang Fan
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Paper Abstract

Efficient segmentation of the substantia nigra (SN) in midbrain cerebral images is a prerequisite for reliable quantification and evaluation of severity of Parkinson’s disease (PD). General-purpose edge-detection techniques aren’t sufficient to for accurate segmentation due to inconsistent shape and fuzzy boundaries. Additionally, the regional properties (such as grey level) of the SN and other cerebral structures are significantly similar, and thus misclassification of segmented regions is also expected. This paper presents an algorithm for localization and segmentation of the SN in neuromelanin-sensitive magnetic resonance imaging (MRI) of the midbrain. The localization is performed using a cross-correlation template matching model in which multiple templates were used to find a match with Cerebral Peduncle, a collective structure of the SN and cerebral crus in the midbrain. We adopted a new approach that uses the parametric equation of cardioid plane curve (a curve that resembles the general structure of cerebral peduncle) to generate multiple deformable templates for localization algorithm. The segmentation of the SN is then performed using the freeform active contour segmentation model in the localized region. A total of 60 slices (10 training, 50 testing), obtained from 19 scans of 10 healthy volunteers and 9 patients with PD, were acquired using a 3T MRI system. The localization algorithm succeeded in 99.8% of the cases, while the segmentation method outperformed with an average sensitivity= 0.83, specificity = 0.97, and Dice-score = 0.73.

Paper Details

Date Published: 15 March 2019
PDF: 13 pages
Proc. SPIE 10953, Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging, 109530Y (15 March 2019); doi: 10.1117/12.2512909
Show Author Affiliations
Touseef Ahmad Qureshi, Cedars-Sinai Medical Ctr. (United States)
Elliot Hogg, Cedars-Sinai Medical Ctr. (United States)
Cody Lynch, Cedars-Sinai Medical Ctr. (United States)
Debiao Li, Cedars-Sinai Medical Ctr. (United States)
Univ. of California, Los Angeles (United States)
Michele Tagliati, Cedars-Sinai Medical Ctr. (United States)
Zhaoyang Fan, Cedars-Sinai Medical Ctr. (United States)
Univ. of California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 10953:
Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging
Barjor Gimi; Andrzej Krol, Editor(s)

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