IMRI/SPECT GUIDED PROSTATE CANCER BIOPSY AND THERAPY

描述：（申请人的描述） 虽然前列腺癌是最常见的诊断癌症， 美国男性和癌症死亡率的第二大原因，技术和 工程技术的进步并没有推动诊断或治疗方法的发展 与脑癌相比，本研究的目的 和开发项目的目的是创造一种方法， 准确的图像引导诊断和治疗前列腺癌。我们的方法 基于介入MRI（IMRI）中的新兴技术， 核成像，包括图像配准、图像引导活检和直接 监测热疗。为了测试我们的方法，我们将执行 在实验动物模型中进行仔细的验证测试，以证明未来 临床试验和患者临床评价。具体来说，我们将 获取骨盆的MRI容积扫描，并将这些图像与核图像配准。 提供疾病代谢/单克隆指标的扫描。该第一 配准将半自动地将联合收割机图像数据集与显著的 不同的空间、对比度和SNR特性。在指导期间， 前列腺病变，我们将比较新的快速MRI技术与改进的 免疫运动到现有的方法，我们将完成开发， IMRI导航的两种方法的验证，其中靶组织和 确保介入设备保持在扫描平面中。两种方法 显示对于IMRl引导程序是可行的， 配准的数据集，以提供始终包括 介入工具和目标组织的最佳估计， 在相同的方向上记录数据，以提高放置的准确性， 将工具插入最合适的组织位置。导航精度将 验证.引导期间的图像配准方法将提供准确的 新的快速采集数据之间的自动多模态分辨率， 以前登记的核和MRI数据作为改善靶向的方法 活检和治疗。我们将开发新的方法来可视化信息， 例如介入工具轨迹和组织温度并验证 他们的准确性。我们将尽可能使用幻影，但更重要的是，我们 将创建犬模型以提供可比较的组织变形， 灌注、形态学和器官以及人体预期的生理运动 审判最后，我们将验证我们的图像引导活检和 在现实条件下的图像引导微创治疗。

DESCRIPTION: (Applicant's Description) While adenocarcinoma of the prostate is the most commonly diagnosed cancer in American men and the second leading cause of cancer mortality, technologic and engineering advances have not pushed diagnosis or treatment methods forward when compared to, for example, brain cancers. The objective of this research and development project is to create a methodology suitable for spatially accurate image-guided diagnosis and treatment of prostate cancer. Our method is based around the newly emerging techniques in interventional MRI (IMRI) and nuclear imaging, including image registration, image guided biopsy, and direct monitoring of thermal therapy. To test our methodology, we will perform careful validation testing in an experimental animal model to justify future clinical trials and clinical evaluation in patients. Specifically, we will acquire MRI volume scans of the pelvis and register these images with nuclear scans that provide metabolic/monoclonal indicators of disease. This first registration will semi-automatically combine image data sets with markedly different spatial, contrast and SNR characteristics. During guidance to the prostate lesion, we will compare new rapid MRI techniques with improved immunity to motion to existing methods, and we will complete development and validation of two methods for IMRI navigation where the target tissue and the interventional device are ensured to remain in the scan plane. Two methods shown to be feasible for IMRl guided procedures will be integrated with registered data sets to provide both scan planes which always include the interventional tool and the target tissue and a best estimate of the registered data at the same orientation to improve accuracy of placement of the tools into the most appropriate tissue location. Guidance accuracy will be validated. Image registration methods during guidance will provide accurate automated multi-modality resolution between the new rapidly acquired data and previously registered nuclear and MRI data as a method to improve targeted biopsy and treatment. We will develop new methods to visualize information, like the interventional tool trajectory and tissue temperature and validate their accuracy. We will use phantoms when possible, but more importantly, we will create a canine model to provide comparable tissue deformation, perfusion, morphology and organ and physiologic motion expected in human trials. Finally, we will validate accuracy of both our image guided biopsy and image guided minimally invasive treatment under realistic conditions.