Stable Image Registration for In-Vivo Fetoscopic Panorama Reconstruction
Stable Image Registration for In-Vivo Fetoscopic Panorama Reconstruction
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DOI：
10.3390/jimaging4010024
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发表时间：
2018-01-01
影响因子：
3.2
通讯作者：
Oepkes, Dick
中科院分区：
文献类型：
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作者：
Gaisser, Floris;Peeters, Suzanne H. P.;Oepkes, Dick
双胎输血综合征（TTTS）是一种发生在约10%的单绒毛膜双胞胎妊娠中的疾病。这种并发症可通过胎儿镜激光凝固治疗。该手术可以从全景重建中获得胎盘的全景，从而大大受益。在以前的工作中，我们研究了哪些步骤可以提高体内环境下的重建性能。在这项工作中，我们通过提出一种稳定区域检测方法以及基于深度学习方法提取匹配特征来改进这种配准。最后，我们提取了图像配准质量和可见性条件的度量。实验表明，该方法提高了图像配准性能，且配准精度更高。使用这些方法，可以开发一个系统，通过提供反馈和提供胎盘更完整的概述，在手术过程中支持外科医生。
A Twin-to-Twin Transfusion Syndrome (TTTS) is a condition that occurs in about 10% of pregnancies involving monochorionic twins. This complication can be treated with fetoscopic laser coagulation. The procedure could greatly benefit from panorama reconstruction to gain an overview of the placenta. In previous work we investigated which steps could improve the reconstruction performance for an in-vivo setting. In this work we improved this registration by proposing a stable region detection method as well as extracting matchable features based on a deep-learning approach. Finally, we extracted a measure for the image registration quality and the visibility condition. With experiments we show that the image registration performance is increased and more constant. Using these methods a system can be developed that supports the surgeon during the surgery, by giving feedback and providing a more complete overview of the placenta.