无需额外扫描，一键将心脏磁共振图像转为更清晰的暗血模式。
DarkSPARC: Dark-Blood Spectral Self-Calibrated Reconstruction of 3D Left Atrial LGE MRI for Post-Ablation Scar Imaging
- 利用自校准谱域重建，从亮血图像生成暗血3D左心房图像。
- 在低信噪比条件下，信噪比提升6倍，瘢痕量化误差降至3%以内。
- 适合心律失常消融术后患者，提升瘢痕检测准确性和稳定性。
目的：开发DarkSPARC方法，一种回顾性、免训练、自校准的光谱重建技术，将常规亮血3D左心房延迟增强（LGE）MRI转换为暗血图像，并量化其对左心房瘢痕-池信噪比（CNR）、信噪比（SNR）、有效信噪比（eCNR）及瘢痕定量准确性的影响。方法：DarkSPARC将亮血左心房LGE嵌入校准条件下的（N+1）维光谱域，利用扫描特异性光谱地标重建暗血图像。基于LAScarQS术后数据构建扫描特异性3D数值幻影，通过克隆远端心肌至左心房壁并施加可控瘢痕负荷，生成5个基线病例（覆盖原始瘢痕-池CNR的第5–95百分位），每例含多个瘢痕负荷和10种CNR退化水平，共产生200个幻影。对每个幻影，测量亮血与DarkSPARC图像的左心房瘢痕-池CNR、SNR、eCNR及瘢痕占比（Scar%）。体内性能在60例公开的房颤术后扫描中评估。结果：在扫描特异性幻影中，DarkSPARC在所有200次实验中均提高左心房瘢痕-池CNR、SNR和eCNR，CNR提升最高达约30倍，SNR提升约6倍（最低CNR条件下）。当CNR下降70%时，亮血图像低估真实瘢痕占比达-37%至-54%，而DarkSPARC将偏差缩小至-3%至-5%。在体内数据中，暗血图像使中位瘢痕-池CNR、SNR和eCNR分别由20.0提升至135.9（6.8倍）、70.6提升至200.6（2.8倍）、0.22提升至0.75（3.4倍）（均p<0.001），瘢痕占比由3.9%增至9.75%。结论：DarkSPARC是一种自校准、免训练的重建方法，可生成3D暗血左心房LGE图像，显著提升信噪比与有效信噪比，稳定可靠地实现瘢痕定量，且无需额外扫描。
原文摘要 · Abstract (English)
Purpose: To develop DarkSPARC, a retrospective, training-free, self-calibrated spectral reconstruction method that converts routine bright-blood 3D left atrial (LA) late gadolinium enhancement (LGE) MRI into a dark-blood image, and to quantify its impact on LA scar-pool CNR, SNR, effective CNR (eCNR), and scar quantification accuracy. Methods: DarkSPARC embeds bright-blood LA LGE into a calibrator-conditioned (N+1)-dimensional spectral domain and reconstructs a dark-blood-like image using scan-specific spectral landmarks. A scan-specific 3D numerical phantom framework was built from LAScarQS post-ablation LGE by cloning remote myocardium into the LA wall and imposing controlled scar burden. Five baseline cases spanning the 5th-95th percentiles of native scar-pool CNR, each with multiple scar burdens and 10 CNR degradation levels, yielded 200 phantoms. For every phantom, LA scar-pool CNR, SNR, eCNR, and Scar% were measured on bright-blood and DarkSPARC images. In vivo performance was evaluated in 60 public post-ablation scans of atrial fibrillation patients. Results: In scan-specific phantoms, DarkSPARC increased LA scar-pool CNR, SNR, and eCNR over bright-blood in all 200 experiments, with DarkSPARC/bright-blood ratios up to about 30-fold for CNR and about 6-fold for SNR in the lowest-CNR conditions. At 70% CNR degradation, bright-blood underestimated ground-truth LA Scar% by -37% to -54%, whereas DarkSPARC reduced bias to about -3% to -5%. In vivo, DarkSPARC similarly improved metrics: median scar-pool CNR, SNR, and eCNR increased from 20.0 to 135.9 (6.8x), 70.6 to 200.6 (2.8x), and 0.22 to 0.75 (3.4x), respectively (all p<0.001), and LA Scar% increased from 3.9% to 9.75%. Conclusion: DarkSPARC is a self-calibrated, training-free reconstruction that yields dark-blood 3D LA LGE, boosting CNR/SNR/eCNR and stabilizing reliable scar quantification without extra scans.
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