{"ID":2836089,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.07882","arxiv_id":"2512.07882","title":"Referenceless Proton Resonance Frequency Thermometry Using Deep Learning with Self-Attention","abstract":"Background: Accurate proton resonance frequency (PRF) MR thermometry is essential for monitoring temperature rise during thermal ablation with high intensity focused ultrasound (FUS). Conventional referenceless methods such as complex field estimation (CFE) and phase finite difference (PFD) tend to exhibit errors when susceptibility-induced phase discontinuities occur at tissue interfaces.","short_abstract":"Background: Accurate proton resonance frequency (PRF) MR thermometry is essential for monitoring temperature rise during thermal ablation with high intensity focused ultrasound (FUS). Conventional referenceless methods such as complex field estimation (CFE) and phase finite difference (PFD) tend to exhibit errors when...","url_abs":"https://arxiv.org/abs/2512.07882","url_pdf":"https://arxiv.org/pdf/2512.07882v1","authors":"[\"Yueran Zhao\",\"Chang-Sheng Mei\",\"Nathan J. McDannold\",\"Shenyan Zong\",\"Guofeng Shen\"]","published":"2025-11-27T18:36:14Z","proceeding":"physics.med-ph","tasks":"[\"physics.med-ph\",\"cs.AI\"]","methods":"[]","has_code":false}