Title :
3D Striatum reconstruction of 123Ioflupane SPECT images for quantitative assessments on the dopaminergic neurotransmission system
Author :
Faro, A. ; Giordano, D. ; Pino, C. ; Spampinato, C. ; Di Stefano, A.
Author_Institution :
Dept. of Inf. & Telecommun. Eng., Univ. of Catania, Catania, Italy
fDate :
April 30 2010-May 1 2010
Abstract :
In this paper we propose a machine vision system for automatic segmentation of striatum in SPECT images. Moreover, in order to perform quantitative measurements on the dopaminergic neurotransmission system a 3D Striatum reconstruction method is proposed, which iteratively computes the position of every single vertex of an initial sphere according to the composition of external and internal forces derived from the input images. The system was tested on a set of 20 patients affected by Parkinson disease in order to evaluate its performance in the disease progression assessment.
Keywords :
diseases; image reconstruction; image segmentation; medical image processing; neurophysiology; single photon emission computed tomography; 3D striatum reconstruction; 123Ioflupane SPECT images; Parkinson disease; automatic segmentation; disease progression assessment; dopaminergic neurotransmission system; external force; internal force; machine vision system; Force measurement; Image reconstruction; Image segmentation; Machine vision; Neurotransmitters; Parkinson´s disease; Performance evaluation; Position measurement; Reconstruction algorithms; System testing;
Conference_Titel :
Medical Measurements and Applications Proceedings (MeMeA), 2010 IEEE International Workshop on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4244-6288-9
DOI :
10.1109/MEMEA.2010.5480220
