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

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.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/0240
Citations
1
Primary Topic
Hearing Loss and Rehabilitation
Type
article
Field-Weighted Citation Impact
0.34
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article

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

Dinggang G. Shen, Junjun Feng, Yuting Zhu, Feng Shi et al.
1 citations
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Hearing Loss and Rehabilitation
0.34
article

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

Dinggang G. Shen, Junjun Feng, Yuting Zhu, Feng Shi, Feihong Liu, Zhaoyan Wang, Rui Hua, Yaoxuan Wang, Mengda Jiang, Jiawei Huang, Jiameng Liu, Jinchen Gu, Han Zhang, Hao Wu
article en
1 citations

Abstract

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.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Quality Education
Openalex Percentile: Top 38%
Hearing Loss and Rehabilitation
0.34
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NeoAudi Tract: An Automated Tool for Identifying Auditory Fiber Bundles in Infants — Dinggang G. Shen, Junjun Feng, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS