QUANTITATIVE ULTRASOUND IMAGE PROCESSING FOR CHARACTERIZATION OF PROSTATE CANCER

用于表征前列腺癌的定量超声图像处理

• 批准号: 8359653
• 负责人: Yuhao Jiang
• 金额: $ 3.43万
• 依托单位: UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-04-01 至 2012-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8359653
• 关键词: Abnormal Cell; Anatomy; Biomedical Research; Biopsy; Cellular Morphology; Computer Simulation; Coupled; Detection; Dimensions; Ensure; Funding; Grant; Histology; Image; Imaging Techniques; Lead; Lesion; Magnetic Resonance Imaging; Malignant Neoplasms; Malignant neoplasm of prostate; Modality; National Center for Research Resources; Noise; Oklahoma; Optical Tomography; Optics; Organelles; Outcomes Research; PET/CT scan; Pathology; Pattern; Positioning Attribute; Positron-Emission Tomography; Principal Investigator; Process; Property; Prostate; Research; Research Infrastructure; Resources; Source; Techniques; Ultrasonography; United States National Institutes of Health; Visual; cost; density; image processing; image reconstruction; imaging Segmentation; improved; in vivo; quantitative ultrasound; rectal; single photon emission computed tomography; tomography; tool

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. We are optimizing trans-rectal ultrasound-coupled optical tomography (TRUST) to improve image guided prostate biopsy by utilizing both the anatomic details of trans-rectal ultrasound (US) and functional information from trans-rectal near infrared (NIR) tomography. Trans-rectal NIR tomography presents a new dimension of information necessary to determining malignancy of lesions suspicious on US and potentially detecting lesions that are otherwise inconspicuous on US. The trans-rectal US not only ensure accurate positioning of the NIR applicator but also can provide spatial prior for guided NIR image reconstruction. In this project, we propose to quantitatively assess TRUST images of prostate in vivo and histological images of prostate cancer. We will focus on important variable in US and NIR imaging, including those associated with optimizing NIR image reconstruction. We will first pre-process US images by the advanced image processing techniques including noise pattern suppression and image segmentation to extract the spatial a priori information to guide NIR image reconstruction. Next, we will quantify the accuracy of optical properties in the US-guided reconstructed with respect to pre-determined true values, and use a perceptual difference computer model (PDM) to determine the visual difference between images reconstructed with and without priori information. Finally, we will establish a relationship between the optical property of prostate cancer and the abnormal cell-morphology using histology images, by converting information such as density and size distribution of cellular or sub-cellular organelles to associated optical properties. This will lead to the understanding of optical scattering spectra of the prostate cancer as a new dimension for detection. These proposed approaches will optimize NIR image reconstruction, and understanding of the optical pathology of prostate cancer. The completion of this research will establish accurate tools for evaluating and optimizing the TRUST detection of prostate cancer. The research outcome may also apply to other multi-modality imaging techniques such as PET/CT, SPECT/CT, and PET/MRI.

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 我们正在优化经直肠超声耦合光学断层扫描(TRUST)，以利用经直肠超声(US)的解剖细节和经直肠近红外(NIR)断层扫描的功能信息来改进图像引导的前列腺活检。经直肠近红外断层扫描提供了一种新的信息维度，用于确定US可疑病变的恶性程度，并潜在地检测在US上不明显的病变。经直肠超声不仅保证了近红外敷贴器的准确定位，而且为引导下的近红外图像重建提供了空间先验。在这个项目中，我们建议对活体前列腺癌的TRUST图像和前列腺癌的组织图像进行定量评估。我们将专注于美国和近红外成像中的重要变量，包括与优化近红外图像重建相关的变量。我们首先利用先进的图像处理技术对超声图像进行预处理，包括噪声模式抑制和图像分割，以提取空间先验信息来指导近红外图像重建。接下来，我们将量化在US引导下重建的光学属性相对于预定真实值的准确性，并使用知觉差异计算机模型(PDM)来确定在有和没有先验信息的情况下重建图像之间的视觉差异。最后，我们将利用组织学图像，通过将细胞或亚细胞细胞器的密度和大小分布等信息转换为相关的光学属性，建立前列腺癌的光学性质与细胞形态异常之间的关系。这将有助于理解前列腺癌的光学散射光谱作为检测的新维度。这些建议的方法将优化近红外图像重建，并了解前列腺癌的光学病理。这项研究的完成将为评估和优化前列腺癌的信任检测建立准确的工具。该研究成果也可应用于其他多模式成像技术，如PET/CT、SPECT/CT和PET/MRI。