التفاصيل البيبلوغرافية
العنوان: |
Computational-design Enabled Wearable and Tunable Metamaterials via Freeform Auxetics for Magnetic Resonance Imaging. |
المؤلفون: |
Wu K, Zhu X, Bifano TG, Anderson SW, Zhang X |
المصدر: |
ArXiv [ArXiv] 2023 Nov 21. Date of Electronic Publication: 2023 Nov 21. |
نوع المنشور: |
Preprint |
اللغة: |
English |
بيانات الدورية: |
Country of Publication: United States NLM ID: 101759493 Publication Model: Electronic Cited Medium: Internet ISSN: 2331-8422 (Electronic) Linking ISSN: 23318422 NLM ISO Abbreviation: ArXiv Subsets: PubMed not MEDLINE |
مستخلص: |
Metamaterials hold significant promise for enhancing the imaging capabilities of MRI machines as an additive technology, due to their unique ability to enhance local magnetic fields. However, despite their potential, the metamaterials reported in the context of MRI applications have often been impractical. This impracticality arises from their predominantly flat configurations and their susceptibility to shifts in resonance frequencies, preventing them from realizing their optimal performance. Here, we introduce a computational method for designing wearable and tunable metamaterials via freeform auxetics. The proposed computational-design tools yield an approach to solving the complex circle packing problems in an interactive and efficient manner, thus facilitating the development of deployable metamaterials configured in freeform shapes. With such tools, the developed metamaterials may readily conform to a patient's kneecap, ankle, head, or any part of the body in need of imaging, and while ensuring an optimal resonance frequency, thereby paving the way for the widespread adoption of metamaterials in clinical MRI applications. |
التعليقات: |
Update in: Adv Sci (Weinh). 2024 Jul;11(26):e2400261. doi: 10.1002/advs.202400261. (PMID: 38659228) |
تواريخ الأحداث: |
Date Created: 20231204 Latest Revision: 20240710 |
رمز التحديث: |
20240710 |
مُعرف محوري في PubMed: |
PMC10690284 |
PMID: |
38045478 |
قاعدة البيانات: |
MEDLINE |