Title
Segmentation of thalamic nuclei based on tensorial morphological gradient of diffusion tensor fields
Abstract
Although thalamic nuclei are not directly visible on conventional anatomical magnetic resonance images (MRI), it is possible to observe differences between the nuclei using diffusion tensor imaging (DTI), because of their distinct fiber orientation. This work presents a method to segment the various nuclei of human thalamus using diffusion MRI. Our approach is to use the watershed transform and other concepts from mathematical morphology to segment the nuclei. However, to segment structures using the tensor data produced with DTI (as opposed to scalar images) the concept of a tensorial morphological gradient (TMG) needs to be introduced. Based on the TMG, segmentation of the nuclei of the thalamus was successful using the watershed transform. Our segmentation is consistent with a histological atlas. Since the proposed method, as opposed to the majority of the DTI-based segmentation methods, does not require manual seed and/or surface placement, its results are highly repeatable.
Year
DOI
Venue
2010
10.1109/ISBI.2010.5490203
Rotterdam
Keywords
Field
DocType
biodiffusion,biomedical MRI,brain,image segmentation,medical image processing,DTI,MRI,diffusion MRI,diffusion tensor imaging,magnetic resonance imaging,mathematical morphology,segmentation,tensorial morphological gradient,thalamic nuclei,watershed transform,Diffusion tensor imaging,Segmentation,Tensorial Morphological Gradient,Watershed transform
Diffusion MRI,Tensor,Computer science,Scalar (physics),Image segmentation,Artificial intelligence,Computer vision,Pattern recognition,Segmentation,Mathematical morphology,Morphological gradient,Nuclear magnetic resonance,Magnetic resonance imaging
Conference
ISSN
ISBN
Citations 
1945-7928 E-ISBN : 978-1-4244-4126-6
978-1-4244-4126-6
3
PageRank 
References 
Authors
0.42
15
4
Name
Order
Citations
PageRank
Leticia Rittner18212.95
Roberto de Alencar Lotufo257253.61
Jennifer S W Campbell325518.91
G Bruce Pike4699132.31