Kutter Oliver, Wein Wolfgang, Navab Nassir
Computer Aided Medical Procedures, TUM, Munich, Germany.
Med Image Comput Comput Assist Interv. 2009;12(Pt 1):763-70. doi: 10.1007/978-3-642-04268-3_94.
Recent US systems allow the real-time acquisition of volume data, either by freehand 3D techniques or novel transducer hardware. However, the acquisition of large volumes is limited by the field of view of the US transducer and anatomical scanning windows into the patient. Mosaicing of several 3D US scans has been proposed to generate large US volumes. Still, US imaging specific characteristics and artifacts make it challenging to create high quality mosaics. For many clinical cases, especially interventions, additional high quality CT data is available. In this paper we present a novel multi-variate, multi-modal 3D US registration and mosaicing approach, which reduces the effects of ultrasound imaging artifacts on mosaic quality, by incorporating information from co-registered CT.
最近的美国系统允许通过徒手三维技术或新型换能器硬件实时获取容积数据。然而,大容量数据的采集受到超声换能器视野和进入患者体内的解剖扫描窗口的限制。有人提出对多个三维超声扫描进行拼接以生成大容积的超声图像。尽管如此,超声成像的特定特征和伪像使得创建高质量的拼接图像具有挑战性。对于许多临床病例,尤其是介入治疗,可获得额外的高质量CT数据。在本文中,我们提出了一种新颖的多变量、多模态三维超声配准和拼接方法,该方法通过整合来自配准CT的信息,减少了超声成像伪像对拼接图像质量的影响。