MOLECULAR IMAGING DIRECTED, 3D ULTRASOUND-GUIDED, BIOPSY SYSTEM

分子成像引导、3D 超声引导活检系统

• 批准号: 9677767
• 负责人: BAOWEI FEI
• 金额: $ 14.12万
• 依托单位: UNIVERSITY OF TEXAS DALLAS
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-01-01 至 2019-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9677767
• 关键词: MOLECULAR; IMAGING; DIRECTED; 3D; ULTRASOUND

Prostate cancer affects 1 in 6 men in the USA. Every man over the age of 45 is at risk for prostate cancer. Systematic transrectal ultrasound (TRUS)-guided biopsy is the standard method for a definitive diagnosis of prostate cancer. More than 1.2 million prostate biopsies are performed annually and the medical cost is more than two billion dollars each year. However, this technique has a significant sampling error and is characterized by low sensitivity (39-52%). This "blind" biopsy approach can miss 30% of prostate cancers. As a negative biopsy does not preclude the possibility of a missed cancer, both the physicians and patients face challenges in making treatment decisions. Due to the increasing number of younger men with potentially early and curable prostate cancer, this problem must be addressed in order to improve cancer detection rate. At our NIH/NCI-supported Emory Molecular and Translational Imaging Center, positron emission tomography (PET) with a new molecular imaging tracer FACBC has shown very promising results for prostate cancer detection in human patients. We hypothesize that FACBC PET molecular images can be incorporated into ultrasound-guided biopsy for improved cancer detection. The proposed research is to develop a molecular image-directed, 3D ultrasound-guided system for targeted biopsy of the prostate. Specific Aim 1: To modify a real-time, mechanically assisted, 3D ultrasound-guided device. Compared to conventional 2D image guidance, 3D images of the prostate will be used to guide the biopsy. Specific Aim 2: To develop fast deformable and statistical appearance model based segmentation methods for 3D ultrasound images of the prostate. Statistical shape models will be developed from our database and will be used to guide automatic segmentation of the prostate. Specific Aim 3: To combine FACBC molecular images with 3D ultrasound for targeted biopsy. New deformable image registration methods based joint saliency map and fuzzy point correspondence will be developed in order to solve major limitations of mutual information based image registration. Specific Aim 4: To test the accuracy of the integrated biopsy system in phantoms and animals. The complete biopsy system will also be tested in a small number of human patients. Our FACBC patient studies are supported by the NIH-sponsored imaging center program (P50CA128301) and by the Phase II Clinical Trial (NCT00562315). The mechanically assisted device has received the FDA 510K approval. The proposed study will promote the academic-industrial collaboration (Emory University, Robarts Research Institute of the University of Western Ontario, and Eigen Inc., Grass Valley, CA). If completely developed, the multimodality molecular image-guided system will be able to be used not only for biopsy but also for brachytherapy, radiofrequency thermal ablation, cryotherapy, and photodynamic therapy.

在美国，每6名男性中就有1人患有前列腺癌。每个45岁以上的男性都有患前列腺癌的风险。 系统经直肠超声(TRUS)引导的活检是确诊的标准方法。 前列腺癌。每年进行的前列腺活检超过120万例，医疗费用为 每年超过20亿美元。然而，这种技术具有很大的采样误差，并且 具有低敏感性(39-52%)的特点。这种“盲目”的活检方法可以漏掉30%的前列腺 癌症。由于活检阴性并不排除漏诊癌症的可能性，两位医生 患者在做出治疗决定时面临挑战。由于年轻男性的数量不断增加 对于潜在的早期和可治愈的前列腺癌，必须解决这个问题才能改善 癌症发现率。 在我们由NIH/NCI支持的Emory分子和翻译成像中心，正电子发射 使用一种新的分子成像示踪剂FACBC的断层扫描(PET)显示了非常有希望的结果 人类患者前列腺癌的检测。我们假设FACBC PET分子图像可以是 整合到超声引导的活检中，以改进癌症检测。拟议的研究是为了 开发一种以分子图像为导向的三维超声引导系统，用于前列腺的靶向活检。 具体目标1：改进一种实时的、机械辅助的三维超声引导设备。与.相比 常规的2D图像引导下，前列腺的3D图像将被用来指导活检。特定目标 2.提出了基于快速变形和统计外观模型的三维分割方法 前列腺的超声图像。统计形状模型将从我们的数据库开发，并将 用于指导前列腺的自动分割。具体目标3：结合FACBC分子 使用三维超声成像进行靶向活检。一种新的基于关节的可变形图像配准方法 将开发显著图和模糊点对应，以解决以下主要限制 基于互信息的图像配准。具体目标4：测试综合活检的准确性 幻影和动物中的系统。完整的活组织检查系统还将在少数几个 人类病人。我们的FACBC患者研究得到了NIH赞助的成像中心项目的支持 (P50CA128301)和II期临床试验(NCT00562315)。该机械辅助装置具有 获得FDA 510K批准。建议的研究将促进学术界和产业界的合作 (埃默里大学、西安大略大学罗巴茨研究所和Eigen Inc.，Grass 加利福尼亚州山谷)。如果完全开发，多模分子图像引导系统将能够 不仅用于活组织检查，还用于近距离放射治疗、射频热消融、冷冻治疗和 光动力疗法。

项目成果

A robust and accurate center-frequency estimation (RACE) algorithm for improving motion estimation performance of SinMod on tagged cardiac MR images without known tagging parameters.

• DOI: 10.1016/j.mri.2014.07.005
• 发表时间: 2014-11
• 期刊: Magnetic resonance imaging
• 影响因子: 2.5
• 作者: Liu H;Wang J;Xu X;Song E;Wang Q;Jin R;Hung CC;Fei B
• 通讯作者: Fei B

Ferritin nanocages to encapsulate and deliver photosensitizers for efficient photodynamic therapy against cancer.

• DOI: 10.1021/nn402199g
• 发表时间: 2013-08-27
• 期刊: ACS nano
• 影响因子: 17.1
• 作者: Zhen Z;Tang W;Guo C;Chen H;Lin X;Liu G;Fei B;Chen X;Xu B;Xie J
• 通讯作者: Xie J

Determining Cardiac Fiber Orientation Using FSL and Registered Ultrasound/DTI volumes.

使用 FSL 和配准超声/DTI 体积确定心纤维方向。

• DOI: 10.1117/12.2217296
• 发表时间: 2016
• 期刊: Proceedings of SPIE--the International Society for Optical Engineering
• 作者: Dormer,James;Qin,Xulei;Shen,Ming;Wang,Silun;Zhang,Xiaodong;Jiang,Rong;Wagner,MaryB;Fei,Baowei
• 通讯作者: Fei,Baowei

Random Walk Based Segmentation for the Prostate on 3D Transrectal Ultrasound Images.

基于随机游走的 3D 经直肠超声图像前列腺分割。

• DOI: 10.1117/12.2216526
• 发表时间: 2016
• 期刊: Proceedings of SPIE--the International Society for Optical Engineering
• 作者: Ma,Ling;Guo,Rongrong;Tian,Zhiqiang;Venkataraman,Rajesh;Sarkar,Saradwata;Liu,Xiabi;Nieh,PeterT;Master,VirajV;Schuster,DavidM;Fei,Baowei
• 通讯作者: Fei,Baowei

A wavelet multiscale denoising algorithm for magnetic resonance (MR) images.

• DOI: 10.1088/0957-0233/22/2/025803
• 发表时间: 2011-02-01
• 期刊: Measurement science & technology
• 影响因子: 2.4
• 作者: Yang X;Fei B
• 通讯作者: Fei B