NDLI: Segmentation of the complete superior cerebellar peduncles using a multi-object geometric deformable model

Content Provider	IEEE Xplore Digital Library
Author	Chuyang Ye Bogovic, J.A. Ying, S.H. Prince, J.L.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA (Chuyang Ye; Bogovic, J.A.; Prince, J.L.) \|\| Sch. of Med., Depts. of Radiol., Neurology, & Ophthalmology, Johns Hopkins Univ., Baltimore, MD, USA (Ying, S.H.)
Abstract	The superior cerebellar peduncles (SCPs) are white matter tracts that serve as the major efferent pathways from the cerebellum to the thalamus. With diffusion tensor images (DTI), tractography algorithms or volumetric segmentation methods have been able to reconstruct part of the SCPs. However, when the fibers cross, the primary eigenvector (PEV) no longer represents the primary diffusion direction. Therefore, at the crossing of the left and right SCP, known as the decussation of the SCPs (dSCP), fiber tracts propagate incorrectly. To our knowledge, previous methods have not been able to segment the SCPs correctly. In this work, we explore the diffusion properties and seek to volumetrically segment the complete SCPs. The non-crossing SCPs and dSCP are modeled as different objects. A multi-object geometric deformable model is employed to define the boundaries of each piece of the SCPs, with the forces derived from diffusion properties as well as the PEV. We tested our method on a software phantom and real subjects. Results indicate that our method is able to the resolve the crossing and segment the complete SCPs with repeatability.
Sponsorship	IEEE
Starting Page	49
Ending Page	52
File Size	998065
Page Count	4
File Format	PDF
ISBN	9781467364560
ISSN	19457928
e-ISBN	9781467364553
DOI	10.1109/ISBI.2013.6556409
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tensile stress Diffusion tensor imaging Indexes Force Image segmentation Phantoms Fiber crossing SCP MGDM GGVF Westin index
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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