Multi-spectral fluorescence molecular tomography

新的生物医学成像技术的出现使我们如何对人类和动物进行成像取得了重大进展。特别是，出现在主流的新的方式，如扩散光学成像，使研究人员能够在体内成像血流动力学在一个非侵入性的方式。与此同时，与人类内源性扩散光学成像的出现相关，一种新的方法正在出现，能够通过荧光在体内跟踪注射到动物体内的分子产物。这种新的成像技术，被称为分子成像，具有很大的前景：人们可以通过解剖结构的变化和异常来检测疾病，而我们现在可以使用新的方法来提供一个微创的表征和测量生物体的细胞和分子水平上的生物过程。到目前为止，大多数光学成像仪受到扩散和异质性的限制。红外光在组织中的注入和检测（有和没有荧光）受到介质光学特性的复杂变化的影响。对于许多应用，特别是肿瘤学，有时忽略这一点就足够了，但随着研究的进展，研究人员越来越敏锐地意识到这种方法的局限性，特别是在空间分辨率和量化方面。我们建议以两种方式解决这些限制：首先通过开发多光谱荧光成像仪，提供更多的信息，组织的光学特性。第二，从另一种模态（MRI）创建模板小鼠模型词典，可用作重建中的先验。绿色函数在此模板上的预先计算将用于执行图像重建。源于此提案的开发将通过增加其产品线量化能力而使合作伙伴公司受益。

The advent of new biomedical imaging technique has enabled significant progresses in how we image humans and animals. In particular, the emergence in the mainstream of new modalities, such as diffuse optical imaging, has enabled researchers to image hemodynamics in vivo in a non invasive fashion. In parallel, associated with the emergence of endogenous diffuse optical imaging in humans, a new approach is emerging enabling to follow molecular products injected in animals, in vivo, through fluorescence. This new imaging technique, referred to as molecular imaging holds great promises: whereas one would detect diseases through anatomical changes and anomalies, we now can use new methods to provide a minimally invasive characterization and measurement of biological processes at the cellular and molecular levels of living organisms.Up until now, most optical imagers have been constrained by diffusion and heterogeneity. The injection and detection of infrared light in tissues (with and without fluorescence) is subject to the complex variations of optical properties of the medium. For many applications, in particular oncology, it is sometimes sufficient to ignore this, but as research advances, researchers are becoming more acutely aware of the limitations of this method, in particular for spatial resolution and quantification.The aim of this proposal is to develop techniques to address these limitations. We propose to address these limitations in two ways: first by developping a multi-spectral fluorescent imager providing more information about tissue optical properties. Second to create a dictionnary of template mice models  from another modality (MRI) that can be used as prior in the reconstruction. The pre- computation of Green's functions on this template will be used to perform image reconstruction.The developments originating from this proposal will benefit the partner company by increasing its product line quantification ability.