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Updated: Feb 16, 2026

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
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DANTEの準備による統合深層学習ベースの頭蓋内血管壁イメージング:実現可能性と技術性能

Pranjal Rai1, Vincent Ern Yao Chan2, John C Benson2

  • 1From the Department of Radiology (P.R., V.E.Y.C., J.C.B., F.E.D., P.M.F., V.M.S., S.A.M., G.B.), Mayo Clinic, 200 1st Street Southwest, Rochester, MN, 55902; Siemens Medical Solutions USA (P.K.), Rochester, MN, 55901; and Research and Clinical Translation (A.S.D.-P, M.D.N.), Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany. raipranjal2@gmail.com.

AJNR. American journal of neuroradiology
|February 14, 2026
PubMed
まとめ

ディープラーニング加速型頭蓋内血管壁画像 (IC-VWI) にDelay Alternating with Nutation for Tailored Excitation (DANTE) の準備を加えることで,アーティファクトが減少し,ルメンの可視化が改善されました. しかし,この強化は,船壁の描写がわずかに減少したものです.

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