Department of Radiology, University Hospital Complex of Santiago (CHUS), Santiago de Compostela, A Coruña 15706, Spain.
Department of Radiology, University of Santiago de Compostela (USC), Santiago de Compostela, A Coruña 15706, Spain.
Diagnostics (Basel). 2013 Apr 3;3(2):271-82. doi: 10.3390/diagnostics3020271.
The purpose of this study was to evaluate the performance of a semiautomatic segmentation method for the anatomical and functional assessment of both ventricles from cardiac cine magnetic resonance (MR) examinations, reducing user interaction to a "mouse-click". Fifty-two patients with cardiovascular diseases were examined using a 1.5-T MR imaging unit. Several parameters of both ventricles, such as end-diastolic volume (EDV), end-systolic volume (ESV) and ejection fraction (EF), were quantified by an experienced operator using the conventional method based on manually-defined contours, as the standard of reference; and a novel semiautomatic segmentation method based on edge detection, iterative thresholding and region growing techniques, for evaluation purposes. No statistically significant differences were found between the two measurement values obtained for each parameter (p > 0.05). Correlation to estimate right ventricular function was good (r > 0.8) and turned out to be excellent (r > 0.9) for the left ventricle (LV). Bland-Altman plots revealed acceptable limits of agreement between the two methods (95%). Our study findings indicate that the proposed technique allows a fast and accurate assessment of both ventricles. However, further improvements are needed to equal results achieved for the right ventricle (RV) using the conventional methodology.
本研究旨在评估一种半自动分割方法在心脏电影磁共振（MR）检查中对左右心室解剖和功能评估的性能，使用户交互减少到“点击鼠标”。使用 1.5-T MR 成像设备对 52 名心血管疾病患者进行了检查。使用传统的基于手动定义轮廓的方法，由有经验的操作员对左右心室的多个参数（如舒张末期容积（EDV）、收缩末期容积（ESV）和射血分数（EF））进行量化，作为参考标准；并使用基于边缘检测、迭代阈值和区域生长技术的新型半自动分割方法进行评估。两种方法获得的每个参数的测量值之间没有发现统计学上的显著差异（p > 0.05）。对右心室功能的相关性估计较好（r > 0.8），对左心室（LV）的相关性极好（r > 0.9）。Bland-Altman 图显示两种方法之间的可接受的一致性界限（95%）。我们的研究结果表明，该技术允许快速准确地评估左右心室。然而，需要进一步改进，以达到使用传统方法学获得的右心室（RV）的结果。
