HIGH-RESOLUTION IMAGE PROCESSING WORKSTATION

高分辨率图像处理工作站是一种重要的仪器 对于计算机辅助诊断(CAD)方案的研究，PACS，多个 形态图像分析和临床相关的观察者表现 学习。拟议的文书将更新现有设施， 满足华盛顿大学多名研究人员的研究需求 芝加哥。Doi，Metz，Giger和Levin博士将能够加快和 使用建议的工作站扩展他们由NIH资助的研究。私家侦探， 在数字成像方面拥有丰富经验的Doi博士将整合 基础研究和临床应用与建议的仪器进入 在芝加哥大学从事研究、教学和病人护理工作。 Doi博士与MacMahon博士合作的胸部成像项目， 将开发计算机辅助设计方案来检测各种异常情况 胸部，由于间质性疾病，肺癌，气胸，和 心脏肿大。吉格尔博士的乳房X光检查项目，与 施密特和西川博士将开发临床、以患者为导向的 计算机辅助设计方法的应用。这两个项目旨在提高诊断率 通过减少漏诊的数量来提高诊断的准确性 使用建议的图像解释的总体再现性 产生“第二意见”的工具。 梅茨博士将与麦克马洪博士合作研究中华民国 临床环境中计算机辅助设计使用的评估方法。 中华民国图像呈现和数据收集的自动化技术 将开展研究工作。 莱文博士将与霍夫曼博士合作，开发一种治疗 集成了脑血管造影和磁共振图像的3D显示。 将开发和测试用于注册和显示的软件 幻影和病人志愿者。 Doi博士和Chua博士与Dr。 Hoffmann将开发一种高精度和可重复性的方法 评估狭窄病变的严重程度和评估 瞬时血流速度。他们将使用来自 脑血管和冠状动脉造影术研究。 该设施还将作为研究培训的资源 医学研究生项目中的学生和博士后研究员 物理，使他们能够学习图形学、图像处理、图像特征 识别、ROC分析和小规模PACS。已建立的 放射科、放射肿瘤科和 心脏病学将极大地受益于高分辨率 图像处理工作站，目前不可用。

A high-resolution image processing workstation is an important instrument for the study of computer-aided diagnosis (CAD) schemes, PACS, multi- modality image analysis, and clinically-relevant observer performance studies. The proposed instrument, which will update existing facilities, meets the research needs of a number of investigators at the University of Chicago. Drs. Doi, Metz, Giger and Levin will be able to expedite and extend their NIH-funded research using the proposed workstation. The P.I., Dr. Doi, who has extensive experience with digital imaging, will integrate basic research and clinical applications with the proposed instrument into research, teaching, and patient care at the University of Chicago. The chest imaging project of Dr. Doi, in collaboration with Dr. MacMahon, will develop CAD schemes for detection of various abnormalities in the chest, due to interstitial disease, lung cancer, pneumothorax, and cardiomegaly. The mammography project of Dr. Giger, in collaboration with Drs. Schmidt and Nishikawa, will develop clinical, patient-oriented applications of CAD methods. These two projects aim to improve diagnostic accuracy by reducing the number of missed diagnoses and to improve the overall reproducibility of image interpretation by using the proposed instrument to generate a "second opinion". Dr. Metz, in collaboration with Dr. MacMahon, will investigate ROC methodology for the assessment of the use of CAD in clinical environments. Automated techniques for image presentation and data collection in ROC studies will be developed. Dr. Levin, in collaboration with Dr. Hoffmann, will develop a method for integrated 3-D display of angiographic and MR images of the brain. Software for registration and display will be developed and tested with phantoms and patient volunteers. The angiography project of Drs. Doi and Chua, in collaboration with Dr. Hoffmann, will develop a highly accurate and reproducible method for assessing the severity of stenotic lesions and the assessment of instantaneous blood flow rates. They will use multi-frame images from cerebral and coronary angiography studies. The facility will also serve as a resource for research training of the students and postdoctoral fellows in the Graduate Programs in Medical Physics, enabling them to learn graphics, image processing, image feature recognition, ROC analysis, and a small scale PACS. The established investigators in the Departments of Radiology, Radiation Oncology, and Cardiology would greatly benefit from accessibility of the high-resolution image processing workstation, which currently is not available.