Abstract #0240

NeoAudi Tract: An Automated Tool for Identifying Auditory Fiber Bundles in Infants

Feihong Liu^1,2, Yaoxuan Wang^3,4,5, Jinchen Gu², Jiawei Huang², Jiameng Liu², Rui Hua⁶, Yuting Zhu^3,4,5, Mengda Jiang⁷, Feng Shi⁶, Han Zhang^2,8, Zhaoyan Wang^3,4,5, Jun Feng¹, Hao Wu^3,4,5, and Dinggang Shen^2,6,8

¹School of Information and Technology, Northwest University, Xi'an, China, ²School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China, ³Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, ⁴Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China, ⁵Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai, China, ⁶Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China, ⁷Department of Radiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, ⁸Shanghai Clinical Research and Trial Center, Shanghai, China

Synopsis

Keywords: Data Processing, Pediatric, Neuroimage computing, Auditory pathway, Normal development

Motivation: Charting the development of infant auditory system is vital for understanding language acquisition and hearing disorders.

Goal(s): Extracting auditory fiber bundles from diffusion MRI data and overcoming the processing difficulties due to tiny and complex structures, as well as very low tissue contrast in the structural MRI data.

Approach: We propose an NAT framework with three core processes: 1) constructing a high-resolution atlas, 2) segmenting tissues and regions of interest (ROIs), and 3) applying a hierarchical registration framework.

Results: A high-resolution auditory fiber bundle template is constructed, and 12 auditory fiber bundles are successfully extracted.

Impact: Our approach is the first toolbox to identify individual auditory fiber bundles in infants, thus effectively mitigating the processing challenges caused by spatial-temporal asynchrony during the development of the first two postnatal years.

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