IMAGING OPERATED AND UNOPERATED HUMAN PARANASAL SINUSES

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 鼻窦炎是耳鼻咽喉科患者群体中的一种突出疾病，也是一般人群中的突出疾病。我们将开发一种基于对象的三步配准方法，该方法利用从3He和质子磁共振图像分割出的鼻窦的模糊距离变换图的相关性。3He成像从鼻窦空气腔内注入极化氦产生信号，而PD成像捕捉整个面部区域的解剖信息。由于这两种成像协议的结构差异，在PD图像中捕获的窦以外的解剖结构在基于互信息的配准方法中表现为噪声。这促使我们开发了一种新的基于对象的注册方法，该方法对当前的问题很敏感。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Sinusitis is a prominent disease among the otolaryngology patient population specifically and the human population in general. We will develop a 3-step object-based registration method that uses correlation of fuzzy distance transform maps of the sinuses segmented from 3He and proton MR images. 3He imaging yields signals from polarized helium injected inside the sinus air space while PD imaging captures anatomic information of the entire facial region. Due to this structural discrepancy in the two imaging protocols, the anatomic structues besides the sinus as captured in PD images behave as noise for a mutual information-based registration method. This observation motivated us to develop a new object based registration method that is sensitive to the current issues.