Title :
Segmentation of thalamic nuclei based on tensorial morphological gradient of diffusion tensor fields
Author :
Rittner, Leticia ; Lotufo, Roberto A. ; Campbell, Jennifer ; Pike, G. Bruce
Author_Institution :
Sch. of Electr. & Comput. Eng., Univ. of Campinas-UNICAMP, Campinas, Brazil
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.
Keywords :
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; Clustering algorithms; Diffusion tensor imaging; Humans; Image segmentation; Magnetic resonance imaging; Partitioning algorithms; Phased arrays; Relays; Surface morphology; Tensile stress; Diffusion tensor imaging; Segmentation; Tensorial Morphological Gradient; Watershed transform;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
Conference_Location :
Rotterdam
Print_ISBN :
978-1-4244-4125-9
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2010.5490203