I-Corps: A Clinician's Segmentation/Registration Tool

拟议的项目涉及开发一套用于医学图像分析的用户交互软件。核心算法包括基于活动轮廓和活动曲面模型的同步分割和配准。该软件旨在为医生，临床医生和其他医疗保健专业人员提供实用，直观且易于使用的桌面软件工具，从收集的图像数据（包括MRI， CT， PET等模式）中提取几何组织特征（分割），同时在单独收集的数据集（注册）中对齐这些几何结构。软件应用程序将包括可视化和定量测量提取的几何信息的工具，从而提供大量寻求的信息，以帮助诊断，治疗和手术计划，以及试验和研究的评估。目前医学图像分析的临床实践是劳动密集型和耗时的。建议的软件套件有潜力成为一个强大的工具，可以将时间从目前的几个工作日减少到不到一个小时。如果开发成功，该工具可以实现更高的患者吞吐量，并有助于从医学图像中提取准确的诊断信息。该技术可用于心功能分析、结构神经成像、心脏再同步化治疗计划和放射治疗计划。

The proposed project involves development of a user-interactive software suite for medical image analysis. The core algorithms consist of simultaneous segmentation and registration based on active contour and active surface models. This software is designed to deliver a practical, intuitive, and easy-to-use desktop software tool to doctors, clinicians, and other health-care professionals to extract geometric tissue features (segmentation) from collected image data (including modalities such as MRI, CT, PET, etc.) while simultaneously aligning such geometric structures across separately collected datasets (registration). Included in the software application will be tools to visualize and quantitatively measure the extracted geometric information, thereby providing heavily sought information to aid in diagnosis, treatment and surgical planning, as well as evaluation of trials and studies.Current clinical practices in medical image analysis are labor intensive and time consuming. The proposed software suite has the potential to be a powerful tool that may reduce the time from current several work days to less than an hour. If successfully developed, this tool could enable higher patient throughput and assist in extracting accurate diagnostic information from medical images. The technology finds application in cardiac function analysis, structural neuro-imaging, planning cardiac resynchronization therapy, and planning radiation therapy.