DarkSPARC: 3D 左心房 LGE MRI 的暗血谱自校准重建用于术后瘢痕成像
DarkSPARC: Dark-Blood Spectral Self-Calibrated Reconstruction of 3D Left Atrial LGE MRI for Post-Ablation Scar Imaging
AI总结：
DarkSPARC 通过自校准谱重建技术，将亮血 3D 左心房 LGE MRI 转换为暗血图像，提升瘢痕池 CNR/SNR/eCNR 并提高瘢痕量化准确性。
摘要：
目的：开发 DarkSPARC，一种回顾性、无需训练、自校准的谱重建方法，将常规亮血 3D 左心房（LA）晚期钆增强（LGE）MRI 转换为暗血图像，并量化其对 LA 疤痕池 CNR、SNR、有效 CNR（eCNR）和瘢痕量化准确性的影响。方法：DarkSPARC 将亮血 LA LGE 嵌入到校准条件下的（N+1）维谱域中，并利用扫描特定的谱地标重建出暗血样图像。通过克隆远程心肌到 LA 壁并施加受控瘢痕负荷，从 LAScarQS 术后 LGE 构建了扫描特定的 3D 数值假体框架。五个基线案例覆盖了原生瘢痕池 CNR 的 5th-95th 百分位，每个案例包含多个瘢痕负荷和 10 个 CNR 降级水平，共生成了 200 个假体。对于每个假体，测量亮血和 DarkSPARC 图像的 LA 疤痕池 CNR、SNR、eCNR 和瘢痕百分比。在 vivo 性能在 60 个公开的术后心房颤动患者扫描中评估。结果：在扫描特定的假体中，DarkSPARC 在所有 200 个实验中均提高了亮血的 LA 疤痕池 CNR、SNR 和 eCNR，其中在最低 CNR 条件下，DarkSPARC/亮血比值可达 CNR 约 30 倍，SNR 约 6 倍。在 70% CNR 降级时，亮血低估了真实 LA 疤痕百分比 -37% 到 -54%，而 DarkSPARC 将偏差降低到约 -3% 到 -5%。在 vivo 中，DarkSPARC 同样提高了指标：中位数瘢痕池 CNR、SNR 和 eCNR 分别从 20.0 增加到 135.9（6.8x）、70.6 增加到 200.6（2.8x）、0.22 增加到 0.75（3.4x）（所有 p<0.001），LA 疤痕百分比从 3.9% 增加到 9.75%。结论：DarkSPARC 是一种自校准、无需训练的重建方法，能够生成暗血 3D LA LGE，提升 CNR/SNR/eCNR 并稳定可靠的瘢痕量化，无需额外扫描。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
