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Quantitative I-123 Cardiac SPECT using a Novel Spectral Fitting Method for High E

Quantitative I-123 Cardiac SPECT using a Novel Spectral Fitting Method for High E
使用新型高 E 光谱拟合方法进行定量 I-123 心脏 SPECT
批准号:
7482182
负责人:
Shelby James Cullom
金额:
$11.78万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-06-15 至 2009-05-14

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中文摘要
翻译
描述(由申请人提供):目前对诊断心脏病的代谢方法和模型的重视,重新开发了123I SPECT显像剂,用于独立方案,并作为现有应激/休息灌注方案的补充作用。然而,目前大多数核心脏病学SPECT设备基础和相关基础设施使用低能量(LE)准正,这是适应123I成像的一个重大技术障碍,因为高能(bbb500kev) 123I发射的光谱污染物。SPECT成像的中能量(ME)准直通常用于一般核环境的123I成像,但对于核心脏病学大视场系统不容易或不存在,对于小视场专用心脏SPECT系统则完全不可用。这项工作的主要目标是开发一种基于能量的算法方法,允许在现有的核心脏病学设备上使用低能量准直对123I试剂进行有效和准确的成像,同时与ME准直相比,提高图像精度,从而促进心脏123I SPECT的适应。该技术采用列表模式采集,通过迭代估计“无”光谱污染物的光谱,提高了伽马相机的有效能量分辨率。该技术不依赖于对患者习惯的假设,也不需要获取额外的数据来对分散成分进行建模。
英文摘要
DESCRIPTION (provided by applicant): Current emphasis on metabolic approaches and models for diagnosing heart disease have renewed development of 123I SPECT imaging agents applied in stand-alone protocols and as a complimentary role to existing stress/rest perfusion protocols. However, a majority of the current nuclear cardiology SPECT equipment base and associated infrastructure utilize low energy (LE) collimation which is a significant technical obstacle to adapting 123I imaging due to spectrum contaminants from high energy (> 500 keV) 123I emissions. Medium energy (ME) collimation for SPECT imaging is typically applied in general nuclear environments for 123I imaging, but is not readily available or nonexistent for nuclear cardiology large field of view systems and not at all available for small field of view dedicated cardiac SPECT systems. The primary objective of this work is to develop an energy-based algorithmic method allowing efficient and accurate imaging of 123I agents on existing nuclear cardiology equipment employing low energy collimation while improving image accuracy in comparison with ME collimation thereby facilitating adaptation of cardiac 123I SPECT. The technique employs a list mode acquisition that improves the effective energy resolution of the gamma camera by iteratively estimating a spectrum `free' of the spectral contaminants. The technique does not rely on assumptions about the patient habits or require the acquisition of additional data for modeling the scatter component.
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