Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Nydalen, Oslo, Norway.
K. G. Jebsen Centre for Cardiac Research, University of Oslo, Nydalen, Oslo, Norway.
Am J Physiol Heart Circ Physiol. 2021 Feb 1;320(2):H912-H922. doi: 10.1152/ajpheart.00494.2020. Epub 2020 Dec 18.
Magnetic resonance imaging (MRI) of the right ventricle (RV) offers important diagnostic information, but the accuracy of this information is hampered by the complex geometry of the RV. Here, we propose a novel postprocessing algorithm that corrects for partial-volume effects in the analysis of standard MRI cine images of RV mass (RVm) and evaluate the method in clinical and preclinical data. Self-corrected RVm measurement was compared with conventionally measured RVm in 16 patients who showed different clinical indications for cardiac MRI and in 17 Wistar rats with different degrees of pulmonary congestion. The rats were studied under isoflurane anaesthesia. To evaluate the reliability of the proposed method, the measured end-systolic and end-diastolic RVm were compared. Accuracy was evaluated by comparing preclinical RVm to ex vivo RV weight (RVw). We found that use of the self-correcting algorithm improved reliability compared with conventional segmentation. For clinical data, the limits of agreement (LOAs) were -1.8 ± 8.6g (self-correcting) vs. 5.8 ± 7.8g (conventional), and coefficients of variation (CoVs) were 7.0% (self-correcting) vs. 14.3% (conventional). For preclinical data, LOAs were 21 ± 46 mg (self-correcting) vs. 64 ± 89 mg (conventional), and CoVs were 9.0% (self-correcting) and 17.4% (conventional). Self-corrected RVm also showed better correspondence with the ex vivo RVw: LOAs were -5 ± 80 mg (self-correcting) vs. 94 ± 116 mg (conventional) in end-diastole and -26 ± 74 mg (self-correcting) vs. 31 ± 98 mg (conventional) in end-systole. The new self-correcting algorithm improves the reliability and accuracy of RVm measurements in both clinical and preclinical MRI. It is simple and easy to implement and does not require any additional MRI data. Magnetic resonance imaging (MRI) of the right ventricle (RV) offers important diagnostic information, but the accuracy of this information is hampered by the complex geometry of the RV. In particular, the crescent shape of the RV renders it particularly vulnerable to partial-volume effects. We present a new, simple, self-correcting algorithm that can be applied to correct partial-volume effects in MRI-based RV mass estimation. The self-correcting algorithm offers improved reliability and accuracy compared with the conventional approach.
心脏磁共振成像（MRI）可为右心室（RV）提供重要的诊断信息，但 RV 的复杂几何形状限制了信息的准确性。在这里，我们提出了一种新的后处理算法，可以校正 RV 质量（RVm）标准 MRI 电影图像分析中的部分容积效应，并在临床和临床前数据中评估该方法。在 16 名因不同临床指征而接受心脏 MRI 检查的患者和 17 只不同程度肺充血的 Wistar 大鼠中，比较了自我校正的 RVm 测量值与常规测量的 RVm。大鼠在异氟烷麻醉下进行研究。为了评估所提出方法的可靠性，比较了测量的收缩末期和舒张末期 RVm。通过将临床前 RVm 与离体 RV 重量（RVw）进行比较来评估准确性。我们发现，与传统分割相比，使用自校正算法可提高可靠性。对于临床数据，一致性界限（LOA）为-1.8±8.6g（自校正）与 5.8±7.8g（常规），变异系数（CoV）分别为 7.0%（自校正）与 14.3%（常规）。对于临床前数据，LOA 为 21±46mg（自校正）与 64±89mg（常规），CoV 分别为 9.0%（自校正）和 17.4%（常规）。自我校正的 RVm 与离体 RVw 的相关性也更好：舒张末期 LOA 为-5±80mg（自校正）与 94±116mg（常规），收缩末期 LOA 为-26±74mg（自校正）与 31±98mg（常规）。新的自校正算法可提高临床和临床前 MRI 中 RVm 测量的可靠性和准确性。它简单易用，不需要额外的 MRI 数据。心脏磁共振成像（MRI）可为右心室（RV）提供重要的诊断信息，但 RV 的复杂几何形状限制了信息的准确性。特别是，RV 的新月形使其特别容易受到部分容积效应的影响。我们提出了一种新的、简单的自校正算法，可应用于校正基于 MRI 的 RV 质量估计中的部分容积效应。与传统方法相比，自校正算法提供了更高的可靠性和准确性。
