マイクロ波画像技術による腫瘍検出と特徴付け - 実験的な校正アプローチ
Anudev Jenardanan Nair1,2, Suraksha Rajagopalan3, Naveen Krishnan Radhakrishna Pillai3
1Department of Electrical and Electronics Engineering, Amrita Vishwa Vidyapeetham, Amritapuri 690525, India.
Sensors (Basel, Switzerland)
|February 13, 2026
まとめ
この研究では,乳腺腫瘍を検出するためのマイクロ波画像システムについて説明します. このシステムは,シミュレートされた腫瘍の検出に96%以上の精度を達成し,早期がん診断に有望なツールを提供しました.
科学分野:
- バイオメディカルエンジニアリング
- メディカルイマージング (医学イメージング)
- エレクトロマグネティクス 電子磁気学
背景:
- マイクロ波画像 (MWI) は,生物学的組織異常を検出するための非侵襲的方法を提供します.
- 健康な組織と悪性組織の電気的性質を比較することは,MWIの鍵です.
- 乳がんの効果的な治療には,腫瘍の早期発見が不可欠です.
研究 の 目的:
- 乳がんの検出のためのマイクロ波画像システムの導入と実験的評価を行う.
- 様々な腫瘍の大きさや位置におけるシステムのパフォーマンスを評価する.
- システムの臨床応用の可能性を検証する.
主な方法:
- モノスタティック構成のホーンアンテナを使用したマイクロ波画像システムが開発されました.
- 高い介電コントラストを持つシミュレートされた腫瘍は,均質な背景媒介で使用されました.
- 反射係数は,修正されたビーム形成アルゴリズムで画像の再構築に使用されました.
主要な成果:
- システムは,すべてのテストケースで最低96%の精度を達成しました.
- 画像再構築の評価時間は48秒未満でした.
- DICEスコア,IoU,精度,精度,感度,および特異性を含む主要なメトリックが計算されました.
結論:
- 提案されたマイクロ波イメージング方法論は,制御された環境で乳がんの検出に有望な結果を示しています.
- 伝導性の高いコントラストは,アンテナとファントムの校正に役立ちます.
- SDG 3に貢献する潜在的な臨床実施のために,さらなる生物学的研究が必要である.
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