A linear, featured-data scheme for image reconstruction in time-domain fluorescence molecular tomography

Accelerated image reconstruction in fluorescence molecular tomography using dimension reduction

With the development of charge-coupled device (CCD) camera based non-contact fluorescence molecular tomography (FMT) imaging systems, multi projections and densely sampled fluorescent measurements used in subsequent image reconstruction can be easily obtained. However, challenges still remain in fast image reconstruction because of the large computational burden and memory requirement in the in...

A Penalized Linear and Nonlinear Combined Conjugate Gradient Method for the Reconstruction of Fluorescence Molecular Tomography

Conjugate gradient method is verified to be efficient for nonlinear optimization problems of large-dimension data. In this paper, a penalized linear and nonlinear combined conjugate gradient method for the reconstruction of fluorescence molecular tomography (FMT) is presented. The algorithm combines the linear conjugate gradient method and the nonlinear conjugate gradient method together based ...

Fluorescence-enhanced Diffuse Optical Tomography: a Segmentation-based Reconstruction Scheme

bstract— A discussion on recent works on diffusive se problems is presented with a special focus on threensional shape-based imaging methods and their cation to small animal imaging by fluorescence-enhanced se Optical Tomography. A numerical approach using for nce the Finite Element Method for handling problems lled by elliptic coupled partial differential equations is ied by the complexity of ...

Patch-based anisotropic diffusion scheme for fluorescence diffuse optical tomography--part 2: image reconstruction.

Fluorescence diffuse optical tomography (fDOT) provides 3D images of fluorescence distributions in biological tissue, which represent molecular and cellular processes. The image reconstruction problem is highly ill-posed and requires regularisation techniques to stabilise and find meaningful solutions. Quadratic regularisation tends to either oversmooth or generate very noisy reconstructions, d...

Image Reconstruction from Incomplete Data