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February 17, 2026American Journal of Neuroradiology2 citationsOpen Access

Integrated Deep Learning-Based Intracranial Vessel Wall Imaging with DANTE Preparation: Feasibility and Technical Performance

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PRPranjal RaiMayo ClinicVCVincent Ern Yao ChanMayo ClinicJBJohn C. BensonSiemens Healthcare (United States)

Key Points

  • Assess the feasibility and technical performance of combining DANTE preparation with deep learning in intracranial vessel wall imaging.
  • Utilized deep learning techniques for accelerated intracranial vessel wall imaging (IC-VWI)
  • Incorporated DANTE preparation to reduce flow-related artifacts
  • Evaluated performance based on clarity of vessel lumen depiction
  • Fewer flow-related artifacts observed with DANTE preparation
  • Clearer depiction of the vessel lumen achieved
  • Modest penalty in wall visualization noted, expected with flow-suppression pulse

Abstract

Adding DANTE preparation to deep-learning accelerated IC-VWI was associated with fewer flow-related artifacts and a clearer depiction of the vessel lumen, which may support a more accurate assessment of intracranial vasculopathies and aneurysms. Potential gains were accompanied by a modest wall-visualization penalty, which is not unexpected with a flow-suppression pulse.

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Cite This Study

Rai et al. (2026) studied this question.

synapsesocial.com/papers/699405254e9c9e835dfd5f3ahttps://doi.org/10.3174/ajnr.a9232
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