Tailored Algorithms for Non-Contrast Computed Tomography Using Sinogram Restorati

使用正弦图恢复的非对比计算机断层扫描的定制算法

• 批准号: 7692256
• 负责人: Patrick Jean La Riviere
• 金额: $ 27万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-24 至 2013-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7692256
• 关键词: Acceleration; Accounting; Algorithms; Biological Models; Blood Vessels; Chronic Kidney Failure; Clinical; Clinical Research; Contrast Media; Data; Databases; Detection; Diagnostic; Discrimination; Dose; Drug usage; Emergency Situation; Enteral; Evaluation; Fistula; Goals; Hematoma; Hypersensitivity; Image; Impaired Renal Function; Information Systems; Intestines; Intravenous; Kidney Calculi; Lead; Lesion; Measurement; Methods; Modeling; Morphologic artifacts; Nephrotoxic; Noise; Obesity; Patients; Perforation; Performance; Property; Radiation; Recipe; Resolution; Scanning; Screening procedure; Secure; Signal Transduction; Slice; Statistical Models; Structure; System; Testing; Time; Tissues; Tomography, Computed, Scanners; Tube; Work; X-Ray Computed Tomography; base; density; detector; flexibility; image reconstruction; improved; instrument; mathematical model; novel; physical property; preference; public health relevance; radiation detector; radiologist; reconstruction; restoration; statistics

DESCRIPTION (provided by applicant): Computed tomography (CT) scans are performed both with and without intravenous (IV) and/or enteric contrast, drugs used to improve the discrimination of vascular structures, improve tissue characterization, search for bowel perforation or fistulae, and many related applications. IV contrast is nephrotoxic, especially in patients with impaired renal function. Consequently, many patients cannot or should not have IV contrast, so non-contrast CT (NC-CT) scans are often performed, despite their intrinsic limitations, which include poor contrast-to-noise properties. There is a critical and immediate need to improve the diagnostic performance of such unenhanced scans. The long-term goal of this project is to overcome the limitations of NC-CT using statistically principled image reconstruction optimized for specific applications. The intrinsic contrast-to-noise will be increased by reducing noise while preserving resolution using projection-domain smoothing and restoration with explicit models of measurement statistics. Successful completion of this work may provide superior CT imaging performance for patients with chronic kidney disease, contrast allergy, obesity, and for screening applications where radiation dose is limited. There are 4 specific aims: (1) An instrument-specific mathematical model will be synthesized using the statistical and physical properties of a particular clinical CT scanner. (2) Penalized-likehood sinogram restoration methods will be implemented on NC-CT exams. (3) The NC-CT image reconstruction strategy will be implemented on dedicated hardware to achieve clinically useful reconstruction times. (4) The penalized-likelihood sinogram restoration strategy will be optimized to deliver tailored algorithms for specific NC-CT applications and tested on a database of clinical cases. On completion, this project will provide a validated means to reconstruct non-contrast CT scans with significantly improved signal-to-noise and contrast-to-noise, thereby improving the diagnostic performance for emergency examinations. The system will be flexible and clinically feasible for multicenter testing in selected applications. The reconstruction methods will be optimized for the most promising applications, and preliminary measurements of diagnostic performance will be available. PUBLIC HEALTH RELEVANCE The long term goal of this project is to develop and apply statistically principled image reconstruction approaches for non-contrast computed tomography (CT). The intrinsic contrast-to-noise will be increased by reducing noise while preserving resolution using projection-domain smoothing and restoration with explicit models of measurement statistics.

描述（由申请人提供）：计算机断层扫描（CT）扫描是在有或没有静脉内（IV）和/或肠对比度的情况下进行的，用于改善血管结构区分，改善组织表征，寻找肠穿孔或瘘管以及许多相关应用的药物。静脉对比是肾毒性，尤其是在肾功能受损的患者中。因此，许多患者无法或不应该具有静脉对比，因此尽管存在固有的局限性，但通常进行了非对比度CT（NC-CT）扫描，其中包括对比度差的差异性质。提高这种非增强扫描的诊断性能是至关重要的，需要立即进行。该项目的长期目标是使用针对特定应用程序优化的统计原则性图像重建来克服NC-CT的局限性。固有的对比度对噪声将通过减少噪声来增加噪声，同时使用投影识别域平滑和恢复分辨率，并使用明确的测量统计模型来恢复。这项工作的成功完成可能会为患有慢性肾脏疾病，对比过敏，肥胖的患者以及辐射剂量有限的筛查应用提供出色的CT成像性能。有4个具体目标：（1）将使用特定临床CT扫描仪的统计和物理特性合成一个仪器特定的数学模型。 （2）将在NC-CT考试中实施惩罚性的正式恢复方法。 （3）NC-CT图像重建策略将在专用硬件上实施，以实现临床上有用的重建时间。 （4）将优化惩罚样的辛图修复策略，以提供针对特定NC-CT应用的量身定制算法，并在临床病例数据库上进行测试。完成后，该项目将提供验证的手段，以重建非对比度的CT扫描，并显着改善信噪比和对比度，从而提高紧急检查的诊断性能。该系统将在选定应用中的多中心测试中灵活且在临床上可行。重建方法将针对最有前途的应用进行优化，并且将获得诊断性能的初步测量。公共卫生相关性该项目的长期目标是为非对比度计算机断层扫描（CT）开发和应用统计原则的图像重建方法。固有的对比度对噪声将通过减少噪声来增加噪声，同时使用投影识别域平滑和恢复分辨率，并使用明确的测量统计模型来恢复。