Title :
Sequence slices enhancement of peripheral nerve based on surfacelet transform
Author :
Feng Zhou ; Xiuli Ma ; Xiaojun Zhou ; Xia Chen
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
Abstract :
Enhancement of nerve sequence slice images is a key step of three-dimensional reconstruction of peripheral nerve. This paper presents a truly multi-scale, multi-directional decomposition method called surfacelet transform for sequence slice images for the reason that low-contrast enhancement effect of nerve slice images is not obvious, the method takes nerve sequence slices as a three-dimensional space-time signal, on the basis of a single picture processing in the traditional transform domain processing, making an improvement, applied to nerves sequence slice CT image enhancement. Experimental data show that this method compared to other methods, can preserve the neurological details of CT images better, achieve high signal to noise ratio and better visual effects.
Keywords :
image enhancement; image reconstruction; image sequences; medical image processing; neurophysiology; transforms; CT image enhancement; low-contrast enhancement effect; multidirectional decomposition; multiscale decomposition; nerve sequence slice images; neurological details; peripheral nerve; sequence slices enhancement; single picture processing; surfacelet transform; three-dimensional reconstruction; three-dimensional space-time signal; transform domain processing; visual effects; Image Enhancement; Multi-directional; Multi-scale; Slice Sequence; Surfacelet;
Conference_Titel :
Smart and Sustainable City 2013 (ICSSC 2013), IET International Conference on
Conference_Location :
Shanghai
Electronic_ISBN :
978-1-84919-707-6
DOI :
10.1049/cp.2013.2019