Impact of Fiber Segmentation Methods on Fiber Quantification Reliability

Motivation: The reliability of fiber quantification depends on the quality of the fiber tract reconstruction, which is influenced by the method used for fiber segmentation. Goal(s): Our objective was to assess the reliability of different fiber segmentation methods and determine the most suitable strategy for the specific bundle. Approach: We compared the distributions of intra-class coefficient (ICC) for different measurements and tracts across three widely used fiber segmentation methods. This analysis was conducted using the traveling subject dataset. The results are presented along with examples, followed by a discussion of the underlying reasons. Results: We summarized the advantageous strategies for main tracts. Impact: This strategy aims to enhance the stability of study results by facilitating the selection of more efficient segmentation methods for conducting fiber-specific quantification in the future.

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/10.58530/2024/2136
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Impact of Fiber Segmentation Methods on Fiber Quantification Reliability

Lingyu Li, Q.K. Tong, Hongjian He, Shun‐Peng Zhu 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
Industrial Vision Systems and Defect Detection
article

Impact of Fiber Segmentation Methods on Fiber Quantification Reliability

Lingyu Li, Q.K. Tong, Hongjian He, Shun‐Peng Zhu, Chenxi Lu
article en

Abstract

Motivation: The reliability of fiber quantification depends on the quality of the fiber tract reconstruction, which is influenced by the method used for fiber segmentation. Goal(s): Our objective was to assess the reliability of different fiber segmentation methods and determine the most suitable strategy for the specific bundle. Approach: We compared the distributions of intra-class coefficient (ICC) for different measurements and tracts across three widely used fiber segmentation methods. This analysis was conducted using the traveling subject dataset. The results are presented along with examples, followed by a discussion of the underlying reasons. Results: We summarized the advantageous strategies for main tracts. Impact: This strategy aims to enhance the stability of study results by facilitating the selection of more efficient segmentation methods for conducting fiber-specific quantification in the future.

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
Openalex Percentile: Top 69%
Industrial Vision Systems and Defect Detection
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