Hao Li
Beihang University
4 Papers
5 Citations
Hao Li is an academic researcher from Beihang University. The author has contributed to research in topics: Image processing & Brightness. The author has an hindex of 2, co-authored 4 publications.
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Papers
Synthesis of Well-Dispersed Aqueous-Phase Magnetite Nanoparticles and Their Metabolism as an MRI Contrast Agent for the Reticuloendothelial System
Yujun Song,Ruixue Wang,Rong Rong,Jie Ding,Jing Liu,Runsheng Li,Zhenghua Liu,Hao Li,Xiaoying Wang,Jue Zhang,Jing Fang +10 more
TL;DR: Aqueous-phase Fe3O4 nanoparticles (NPs) are directly synthesized by a modified iron salt coprecipitation process, stabilized by the synergistic effect of a combination of poly(vinylpyrrolidone) (PVP), trisodium citrate (TSC), and maleic anhydride (MAH).
Patent
Method for automatically segmenting intima-media membrane in carotid artery ultrasound image
Hao Li,Fang Jing,Zhang Shijie,Shui Xi,Rui Ma,Huiren Chen,Zhang Jue +6 more
- 26 Sep 2017
TL;DR: In this paper, a method for automatically segmenting an intima-media membrane in a carotid artery ultrasound image is presented, which comprises the following steps: 1) inhibiting the background information outside the intimamedia membrane through employing a multi-scale Gaussian kernel multiplication method, and obtaining an edge image with the highlighted boundary of the intimedia membrane; 2) obtaining a part of contour lines of a mesolamella-adventitia boundary and an intra-lumen boundary according to the edge image obtained at step 1) through employing an initial
4
Patent
Blood flow artifact removing method for carotid magnetic resonance blood vessel wall imaging
Hao Li,Wenjian Huang,Li Bo,Zhang Jue,Fang Jing +4 more
- 12 Sep 2017
TL;DR: In this article, a blood flow artifact removal method for carotid magnetic resonance blood vessel wall imaging is presented. But the method is not suitable for the image of the human body.
1
Patent
Ultrasonic image de-noising and enhancement method
Hao Li,Huiren Chen,Zhang Shijie,Zhang Jue,Fang Jing,Shui Xi,Rui Ma +6 more
- 26 Sep 2017
TL;DR: In this paper, an ultrasonic image de-noising and enhancement method comprises steps of (1) using Curvelet transformation to perform decomposition on an image to obtain a low frequency sub-band and high frequency subband of different sizes and different directions, (2) multiplying a low-frequency subband coefficient with a small gain coefficient and inhibiting image background information, (3) adopting a high frequency gain function having a direction selection to process a Curvelet high frequency Sub-band coefficient, configuring a big gain multiple and a small threshold for the high-frequency