Background 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 this project, we propose a novel post-processing 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. Methods 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). Results 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±45mg (self-correcting) vs. 64±89mg (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±80mg (self-correcting) vs. 94±116mg (conventional) in end-diastole and -26±74mg (self-correcting) vs. 31±98mg (conventional) in end-systole. Conclusions The new self-correcting algorithm improves the reliability and accuracy of RVm measurements in both clinical and preclinical MRI. It is simple, easy to implement and does not require any additional MRI data.

中文翻译：

---

从磁共振成像数据分析右心室质量：一种用于校正部分体积效应的简单后处理算法

背景技术右心室（RV）的磁共振成像（MRI）提供了重要的诊断信息，但是该信息的准确性因RV的复杂几何形状而受阻。在该项目中，我们提出了一种新颖的后处理算法，该算法可校正标准MRI电影的RV质量（RVm）分析中的部分体积效应，并在临床和临床前数据中评估该方法。方法将16例表现出心脏MRI的不同临床指征的患者和17例具有不同程度肺充血的Wistar大鼠的自我校正的RVm测量值与常规测量的RVm进行比较。在异氟烷麻醉下对大鼠进行研究。为了评估该方法的可靠性，比较了测得的收缩末期和舒张末期RVm。通过比较临床前RVm与离体RV重量（RVw）评估准确性。结果我们发现，与常规分割相比，使用自校正算法可提高可靠性。对于临床数据，一致性极限（LOA）为-1.8±8.6g（自我校正）对5.8±7.8g（常规），变异系数（CoVs）为7.0％（自我校正）对14.3％ （常规）。对于临床前数据，LOA为21±45mg（自我校正）与64±89mg（常规），CoV为9.0％（自我校正）和17.4％（常规）。自我校正的RVm也显示出与离体RVw更好的对应性：舒张末期的LOA为-5±80mg（自我校正）对94±116mg（常规）和-26±74mg（自我校正）对31收缩末期为±98mg（常规值）。结论新的自校正算法可提高RVm测量在临床和临床前MRI中的可靠性和准确性。它简单，易于实施，并且不需要任何其他MRI数据。