Real-time segmentation by Active Geometric Functions.
Real-time segmentation by Active Geometric Functions.
复制标题
DOI：
10.1016/j.cmpb.2009.09.001
复制
发表时间：
2010-06
影响因子：
6.1
通讯作者：
Laine AF
中科院分区：
文献类型：
--
作者：
Duan Q;Angelini ED;Laine AF
4D成像和实时成像的最新进展提供了具有高空间或时间分辨率的临床重要心脏动态信息的图像数据。然而，这些数据中包含的大量信息也对传统图像分析算法的效率提出了挑战。在本文中，一种新的可变形模型框架，主动几何函数（AGF），介绍了解决实时分割问题。作为一种与水平集并行的隐式框架，AGF在计算效率和计算复杂度方面具有数学上的优势，同时也具有与水平集框架相似的灵活性。AGF在两个心脏应用中得到了证明：4D超声中的内膜分割和具有超高时间分辨率的MRI中的心肌分割。在这两种应用中，AGF可以在每帧几毫秒的时间内执行实时分割，这比每帧的采集时间要短。分割结果进行了比较，手动跟踪具有可比的性能与观察员之间的变化。这种实时分割的能力不仅有助于诊断和工作流程，而且还能够实现新的应用，例如介入引导和具有在线分割的交互式图像采集。
Recent advances in 4D imaging and real-time imaging provide image data with clinically important cardiac dynamic information at high spatial or temporal resolution. However, the enormous amount of information contained in these data has also raised a challenge for traditional image analysis algorithms in terms of efficiency. In this paper, a novel deformable model framework, Active Geometric Functions (AGF), is introduced to tackle the real-time segmentation problem. As an implicit framework paralleling to level-set, AGF has mathematical advantages in efficiency and computational complexity as well as several flexible feature similar to level-set framework. AGF is demonstrated in two cardiac applications: endocardial segmentation in 4D ultrasound and myocardial segmentation in MRI with super high temporal resolution. In both applications, AGF can perform real-time segmentation in several milliseconds per frame, which was less than the acquisition time per frame. Segmentation results are compared to manual tracing with comparable performance with inter-observer variability. The ability of such real-time segmentation will not only facilitate the diagnoses and workflow, but also enables novel applications such as interventional guidance and interactive image acquisition with online segmentation.
登录
查看更多内容
影响因子：
10.6
作者：
Chan, TF;Vese, LA
通讯作者：
Vese, LA
DOI：
10.1006/gmip.1996.0021
发表时间：
1996-05-01
期刊：
GRAPHICAL MODELS AND IMAGE PROCESSING
影响因子：
--
作者：
Udupa, JK;Samarasekera, S
通讯作者：
Samarasekera, S
影响因子：
10.6
作者：
Xu, CY;Prince, JL
通讯作者：
Prince, JL
影响因子：
19.5
作者：
KASS, M;WITKIN, A;TERZOPOULOS, D
通讯作者：
TERZOPOULOS, D
影响因子：
3.8
作者：
Herz, SL;Ingrassia, CM;Holmes, JW
通讯作者：
Holmes, JW