Lilian Ji

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A new method for extracting the boundary of the region of interest (ROI) from motion affected magnetic resonance images (MRI) is presented. An image pre-processing stage is included to suppress prominent ghost artifacts and excessive blurring in the background, in order to facilitate the contour extraction algorithm. The pre-processing stage consists of a(More)
The antioxidant activities of water extract (WE), ethanol extract (EE), residue water extract (RWE) and petroleum ether (PF), ethyl acetate (EF), n-BuOH (BF) and water (WF) fractions of the ethanol extract from Eupatorium Lindley DC were investigated for the first time. Total phenolics content, DPPH radical scavenging activities, superoxide radical(More)
A high-speed counter-current chromatography (HSCCC) method was established for the preparative separation of three sesquiterpenoid lactones from Eupatorium lindleyanum DC. The two-phase solvent system composed of n-hexane-ethyl acetate-methanol-water (1:4:2:3, v/v/v/v) was selected. From 540 mg of the n-butanol fraction of Eupatorium lindleyanum DC., 10.8(More)
An intelligent and attractable active contour model for boundary extraction is presented in this paper. The proposed model is capable of driving any initial guess in the area of the evolving estimate towards the desired boundary, working against a constant image background, overcoming spurious edge-points and fitting into the object without any overrun. It(More)
Snakes are an effective approach to image segmentation. However, self-looping is a very common problem that makes snakes fail to work well in certain circumstances. In order to achieve robust segmentation, this paper introduces the loop-free snakes based on an attractable active contour model that overcomes several problems of conventional snake model whale(More)