Early Detection of Alzheimer's Disease Using Magnetic Resonance Imaging

 


   Note: An Official Proposal has not been Submitted to NACC.


   Lead Investigator:    Liang Wu
   Institution      :    Shandong University
   E-Mail           :    wuliang@mail.sdu.edu.cn
   Proposal ID      :    1719



   Proposal Description:
   Hi, I am a PhD candidate from Shandong University. My research direction is medical image processing. My co-tutors are Pro. Changchun Liu and Pro. Shunbo Hu. Both tutors have deep research backgrounds in image processing. My project is the early detection of Alzheimer's disease based on multimodal data fusion. Therefore, I apply for the MR image and CSF of the database. First, deep learning is used to find the lesion area, and then other modal data (CSF) is used to improve the accuracy of early detection of the disease. I have published several articles in the field of image processing, as shown below.    Liang Wu, Shunbo Hu, Changchun Liu, "Denoising of 3D Brain MR Images with Parallel Residual Learning of Convolutional Neural Network Using Global and Local Feature Extraction", Computational Intelligence and Neuroscience, vol. 2021, Article ID 5577956, 18 pages, 2021. https://doi.org/10.1155/2021/5577956    Xiao-qi L, Liang WU, Yu GU, et al. Detection of low dose CT pulmonary nodules based on 3D convolution neural network[J]. Optics and Precision Engineering, 2018, 26(5):1211-1218. DOI??#15410.3788/OPE.20182605.1211    L Xiaoqi, WU Liang, GU Yu, ZHANG Ming, LI Jing. Low Dose CT Lung Denoising Model Based on Deep Convolution Neural Network[J]. Journal of Electronics and Information Technology, 2018, 40(6): 1353-1359. doi: 10.11999/JEIT170769