Intensity and sulci landmark combined brain atlas construction for Chinese pediatric population

Author:

Luo Yishan12,Shi Lin234,Weng Jian5,He Hongjian6,Chu Winnie C.W.127,Chen Feiyan5,Wang Defeng1278

Affiliation:

1. Department of Imaging and Interventional RadiologyThe Chinese University of Hong Kong, Shatin, New TerritoriesHong Kong SAR

2. Research Center for Medical Image Computing, The Chinese University of Hong Kong, Shatin, NTHong Kong SAR

3. Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesShenzhen China

4. Department of Medicine and TherapeuticsThe Chinese University of Hong Kong, ShatinNew Territories Hong Kong SAR

5. Bio‐x LaboratoryDepartment of PhysicsZhejiang UniversityHangzhou Zhejiang China

6. Center for Brain Imaging Science and Technology, College of Biomedical Engineering & Instrument Science, Zhejiang UniversityHangzhou Zhejiang China

7. Shenzhen Research InstituteThe Chinese University of Hong KongShenzhen China

8. Department of Biomedical Engineering and Shun Hing Institute of Advanced EngineeringThe Chinese University of Hong Kong, Shatin, New TerritoriesHong Kong SAR

Funder

Research Grants Council of the Hong Kong Special Administrative Region, China

National Natural Science Foundation of China

Shenzhen Science and Technology Innovation Committee

BME-p2-13/BME-CUHK of the Shun Hing Institute of Advanced Engineering, The Chinese University of Hong Kong

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Reference43 articles.

1. Population Differences in Brain Morphology and Microstructure among Chinese, Malay, and Indian Neonates

2. Free‐form B‐spline deformation model for groupwise registration;Balci SK;Med Image Comput Comput Assist Interv,2007

3. Groupwise combined segmentation and registration for atlas construction;Bhatia KK;Med Image Comput Comput Assist Interv,2007

4. A non‐local algorithm for image denoising;Buades A;Comput Vis Pattern Recogn,2005

5. Model-driven parameterization of the cortical surface for localization and inter-subject matching

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