Parameter and Structure Indentification in Optical Tomography

光学断层扫描中的参数和结构识别

• 批准号: EP/E034950/1
• 负责人: Simon Arridge
• 金额: $ 79.85万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2007
• 资助国家: 英国
• 起止时间: 2007 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FE034950%2F1
• 关键词: Parameter; Structure; Indentification; Optical; Tomography

Optical tomography is a non-invasive imaging technique for imaging the optical properties of biological tissue, particularly the peripheral muscle, breast and the brain. Optical tomography utilizes a set of optodes placed on the surface of the tissue to deliver an input signal. A second set of optodes at different locations detect exiting photons which have propagated through the biological tissue. The distribution of photons in these boundary measurements is used to reconstruct images of internal optical absorption and scattering coefficient distributions.The resulting images support a wide range of clinical applications. These include (i) non-invasive detection of breast tumours; (ii) functional imaging of muscle and brain activities; (iii) estimation of cerebral oxygenation and haemodynamics; (iv) measurements of cytochrome oxidase and mitochondrial energetics; (v) investigation of oxidative metabolism in muscle; (vi) measurements of tissue viability in transplantationof organs; and (vii) detection of abnormalities in joints of arthritic patients.Optical tomography is faster and cheaper than alternative imaging methods. The hardware is compact, allowing use in clinical settings where other imaging modalities are impractical. However, despite these advantages, optical tomography is not yet widely used. One of the major barriers to widespread acceptance is that the image reconstruction methods are slow and inaccurate. We consider three basic problems that are at the root of this block to progress :1. Accurate modelling methods for light propagation in tissue are too slow to be used repeatedly in solving the imaging problem.2. Optical measurements are noisy and limited in number which makes the imaging problem intrinsically inaccurate.3. Identification of clinically significant objects in the reconstructed images involves processing of noisy images even though the number or tyoe of object being sought is small.We will tackle these problems with three strategies :1. The use of model reduction techniques that allow the use of relatively inaccurate (but fast )models provided that the resultant errors are correctly handled2. The use of prior knowledge in a rigorous way using statistical techniques3. The direct reconstruction of clinical objects from the data, missing out the potentially unstable step of making the images.We will undertake a rigorous development and evaluation of these methods, including validation on experimental data. Developed software will be released on the internet.

光学断层扫描是一种非侵入性成像技术，用于成像生物组织的光学特性，特别是周围肌肉，乳房和大脑。光学断层扫描利用一组放置在组织表面的光电器件来传递输入信号。在不同位置的第二组光电器件检测通过生物组织传播的出射光子。光子在这些边界测量中的分布被用来重建内部光学吸收和散射系数分布的图像。由此产生的图像支持广泛的临床应用。这些措施包括：(i)非侵入性检测乳腺肿瘤；（ii）肌肉和大脑活动的功能成像；（iii）脑氧合和血流动力学的估计；（iv）细胞色素氧化酶和线粒体能量学测定；(v)肌肉氧化代谢的研究；（六）器官移植中组织活力的测定；（七）关节炎患者关节异常的检测。光学断层扫描比其他成像方法更快、更便宜。硬件是紧凑的，允许使用在临床设置，其他成像方式是不切实际的。然而，尽管有这些优点，光学层析成像尚未得到广泛应用。其中一个主要的障碍是广泛接受的图像重建方法是缓慢和不准确的。我们认为阻碍进展的根源在于三个基本问题：1。光在组织中传播的精确建模方法过于缓慢，无法在解决成像问题时重复使用。光学测量是有噪声的，而且数量有限，这使得成像问题本质上是不精确的。在重建图像中识别具有临床意义的目标涉及对噪声图像的处理，即使所寻找的目标的数量或类型很小。我们将用三个策略来解决这些问题：1。模型简化技术的使用，允许使用相对不准确（但快速）的模型，前提是正确处理所产生的错误2。用统计技术严格地运用先验知识。从数据中直接重建临床对象，忽略了制作图像的潜在不稳定步骤。我们将对这些方法进行严格的开发和评估，包括对实验数据的验证。开发的软件将在互联网上发布。

项目成果

Heterodyne frequency-domain multispectral diffuse optical tomography of breast cancer in the parallel-plane transmission geometry.

• DOI: 10.1118/1.4953830
• 发表时间: 2016-07
• 期刊: Medical physics
• 影响因子: 3.8
• 作者: H. Ban;M. Schweiger;Venkaiah C. Kavuri;J. Cochran;Long Xie;David R. Busch;Jaka Katrasnik;S. Pathak;So Hyun Chung;Kijoon Lee;R. Choe;B. Czerniecki;S. Arridge;Arjun G. Yodh

Iterated preconditioned LSQR method for inverse problems on unstructured grids

• DOI: 10.1088/0266-5611/30/7/075009
• 发表时间: 2014-06
• 期刊: Inverse Problems
• 影响因子: 2.1
• 作者: S. Arridge;M. Betcke;Lauri Harhanen

Preconditioning of complex symmetric linear systems with applications in optical tomography

• DOI: 10.1016/j.apnum.2013.06.008
• 发表时间: 2013-12
• 期刊: Applied Numerical Mathematics
• 影响因子: 2.8
• 作者: S. Arridge;H. Egger;M. Schlottbom

Data driven respiratory signal detection in PET taking advantage of time-of-flight data

利用飞行时间数据进行 PET 中数据驱动的呼吸信号检测

• DOI: 10.1109/nssmic.2016.8069426
• 发表时间: 2016
• 作者: Bertolli O

Influence of absorption and scattering on the quantification of fluorescence diffuse optical tomography using normalized data.

• DOI: 10.1117/1.jbo.17.3.036013
• 发表时间: 2012-03
• 期刊: Journal of biomedical optics
• 影响因子: 3.5
• 作者: J. Abascal;J. Aguirre;J. Chamorro-Servent;M. Schweiger;S. Arridge;J. Ripoll;J. Vaquero;M. Desco