Mulder Harriët W, van Stralen Marijn, Ren Ben, Haak Alexander, Viergever Max A, Bosch Johan G, Pluim Josien P W
Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
Department of Cardiology, Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands.
Ultrasound Med Biol. 2017 Apr;43(4):765-774. doi: 10.1016/j.ultrasmedbio.2016.11.017. Epub 2017 Jan 5.
Transesophageal echocardiography (TEE) is a promising imaging modality used to guide cardiac interventions, such as catheter ablation for the treatment of cardiac arrhythmias. These procedures rely on good visualization of the left atrium and pulmonary veins. To visualize these structures in a single volume, the acquisition, registration and fusion of multiple TEE views of the left atrium are required. We introduce atlas-based mosaicing as a method for the registration of images that are acquired according to a standardized protocol. Inspired by atlas-based segmentation approaches, compounded data of other patients serve as atlases for the registration of new data. The performance of atlas-based mosaicing is studied on 3-D TEE data of the left atrium and compared with that of regular pairwise registration. This study indicates that improved registration robustness and smaller registration errors are achieved with atlas-based mosaicing compared with regular pairwise registration. This is an important step toward the use of TEE for interventional guidance of ablation procedures.
经食管超声心动图（TEE）是一种很有前景的成像方式，用于指导心脏介入治疗，如用于治疗心律失常的导管消融术。这些手术依赖于对左心房和肺静脉的良好可视化。为了在单个容积中可视化这些结构，需要采集、配准和融合左心房的多个TEE视图。我们引入基于图谱的拼接作为一种根据标准化协议采集的图像配准方法。受基于图谱的分割方法启发，其他患者的复合数据用作新数据配准的图谱。在左心房的三维TEE数据上研究了基于图谱的拼接性能，并与常规成对配准的性能进行了比较。这项研究表明，与常规成对配准相比，基于图谱的拼接实现了更高的配准鲁棒性和更小的配准误差。这是朝着将TEE用于消融手术的介入引导迈出的重要一步。
