Differentiation of benign and malignant breast lesions using DWI with a fractional-order calculus(FROC) model based on SMS technique

Motivation: This study focus on improving imaging time and image quality while accurately distinguishing between benign and malignant breast lesions. Goal(s): To assess the diagnostic capabilities of the FROC diffusion model combined with SMS technology for breast lesions. Approach: Compare two diffusion model, the traditional single-index DWI model and the FROC, and then evaluate their diagnostic performance, image quality, and the consistency of results using SMS technology. Results: FROC combined with SMS offered a feasible and effective approach for distinguishing benign and malignant breast lesions, while the diagnostic performance of D and β values from FROC was potentially superior to the traditional ADC values. Impact: The research introduces an innovative approach that combines the FROC-DWI model with SMS technology to enhance the efficiency and diagnostic capabilities of breast imaging, potentially improving patient outcomes and reducing unnecessary invasive procedures.

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/10.58530/2024/5067
Primary Topic
Fractional Differential Equations Solutions
Type
article
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article

Differentiation of benign and malignant breast lesions using DWI with a fractional-order calculus(FROC) model based on SMS technique

Yinan Sun, B. Zhang, Mengxiao Liu, Juan 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
Fractional Differential Equations Solutions
article

Differentiation of benign and malignant breast lesions using DWI with a fractional-order calculus(FROC) model based on SMS technique

Yinan Sun, B. Zhang, Mengxiao Liu, Juan Zhu, Yang Qin, Fei Wang
article en

Abstract

Motivation: This study focus on improving imaging time and image quality while accurately distinguishing between benign and malignant breast lesions. Goal(s): To assess the diagnostic capabilities of the FROC diffusion model combined with SMS technology for breast lesions. Approach: Compare two diffusion model, the traditional single-index DWI model and the FROC, and then evaluate their diagnostic performance, image quality, and the consistency of results using SMS technology. Results: FROC combined with SMS offered a feasible and effective approach for distinguishing benign and malignant breast lesions, while the diagnostic performance of D and β values from FROC was potentially superior to the traditional ADC values. Impact: The research introduces an innovative approach that combines the FROC-DWI model with SMS technology to enhance the efficiency and diagnostic capabilities of breast imaging, potentially improving patient outcomes and reducing unnecessary invasive procedures.

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 77%
Fractional Differential Equations Solutions
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