Linguraru Marius George, Vasilyev Nikolay V, del Nido Pedro J, Howe Robert D
Division of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Med Image Comput Comput Assist Interv. 2006;9(Pt 1):596-603. doi: 10.1007/11866565_73.
We are working to develop beating-heart atrial septal defect (ASD) closure techniques using real-time 3-D ultrasound guidance. The major image processing challenges are the low image quality and the high frame rate. This paper presents comparative results for ASD tracking in sequences of 3D cardiac ultrasound. We introduce a block flow technique, which combines the velocity computation from optical flow for an entire block with template matching. Enforcing similarity constraints to both the previous and first frames ensures optimal and unique solutions. We compare the performance of the proposed algorithm with that of block matching and optical flow on six in-vivo 4D datasets acquired from porcine beating-heart procedures. Results show that our technique is more stable and has higher sensitivity than both optical flow and block matching in tracking ASDs. Computing velocity at the block level, our technique is much faster than optical flow and comparable in computation cost to block matching.
我们正在致力于利用实时三维超声引导开发跳动心脏房间隔缺损（ASD）封堵技术。主要的图像处理挑战在于图像质量低和帧率高。本文展示了三维心脏超声序列中ASD跟踪的对比结果。我们引入了一种块流技术，该技术将整个块的光流速度计算与模板匹配相结合。对前一帧和第一帧都施加相似性约束可确保获得最优且唯一的解决方案。我们将所提算法的性能与块匹配和光流算法在从猪跳动心脏手术获取的六个体内四维数据集上的性能进行了比较。结果表明，在跟踪ASD方面，我们的技术比光流和块匹配更稳定且灵敏度更高。在块级别计算速度，我们的技术比光流快得多，计算成本与块匹配相当。
