Institute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Universidade Lisboa, Portugal.
Comput Methods Programs Biomed. 2018 Feb;154:9-23. doi: 10.1016/j.cmpb.2017.10.028. Epub 2017 Nov 4.
The segmentation of the left ventricle (LV) in cardiac magnetic resonance imaging is a necessary step for the analysis and diagnosis of cardiac function. In most clinical setups, this step is still manually performed by cardiologists, which is time-consuming and laborious. This paper proposes a fast system for the segmentation of the LV that significantly reduces human intervention.
A dynamic programming approach is used to obtain the border of the LV. Using very simple assumptions about the expected shape and location of the segmentation, this system is able to deal with many of the challenges associated with this problem. The system was evaluated on two public datasets: one with 33 patients, comprising a total of 660 magnetic resonance volumes and another with 45 patients, comprising a total of 90 volumes. Quantitative evaluation of the segmentation accuracy and computational complexity was performed.
The proposed system is able to segment a whole volume in 1.5 seconds and achieves an average Dice similarity coefficient of 86.0% and an average perpendicular distance of 2.4 mm, which compares favorably with other state-of-the-art methods.
A system for the segmentation of the left ventricle in cardiac magnetic resonance imaging is proposed. It is a fast framework that significantly reduces the amount of time and work required of cardiologists.
心脏磁共振成像中左心室（LV）的分割是分析和诊断心脏功能的必要步骤。在大多数临床环境中，这一步仍然由心脏病专家手动完成，既耗时又费力。本文提出了一种快速的 LV 分割系统，可显著减少人为干预。
使用动态规划方法获得 LV 的边界。该系统使用关于分割的预期形状和位置的非常简单的假设，能够处理与该问题相关的许多挑战。该系统在两个公共数据集上进行了评估：一个数据集包含 33 名患者，共 660 个磁共振体积；另一个数据集包含 45 名患者，共 90 个体积。对分割准确性和计算复杂度进行了定量评估。
所提出的系统能够在 1.5 秒内分割整个体积，平均 Dice 相似系数为 86.0%，平均垂直距离为 2.4mm，与其他最先进的方法相比表现良好。
提出了一种用于心脏磁共振成像中左心室分割的系统。它是一种快速框架，可大大减少心脏病专家所需的时间和工作量。
