Image deconvolution has been widely used in optical microscopy to improve image resolution and enhance contrast, mainly for 3D optically sectioned images. 2D images can be deconvolved in a similar way, and in many circumstances, such processing is either necessary or sufficient. Confocal microscope image slices can be processed as 2D images, especially if the pinhole is opened slightly to incre...

Iterative reconstruction algorithms like MLEM (Maximum Likelihood Expectation Maximization) can be regularized using a weighted roughness penalty term according to certain a priori assumptions of the desired image. In the MRP (Median Root Prior) algorithm the penalty is set according to the deviance of a pixel from the local median. This allows both noise reduction and edge preservation. The pr...

As a new three-dimensional breast imaging technique, breast tomosynthesis allows the reconstruction of an arbitrary set of planes in the breast from a limited-angle series of x-ray projection images. The breast tomosynthesis technique has been demonstrated as promising to improve early breast cancer detection. This paper represents a preliminary phantom study and computer simulation results of ...

Zhou, Weihua, "Image reconstruction and imaging configuration optimization with a novel nanotechnology enabled breast tomosynthesis multi-beam X-ray system" (2012). Dissertations. Paper 540. Digital breast tomosynthesis is a new technology that provides three-dimensional information of the breast and makes it possible to distinguish the cancer from overlying breast tissues. We are dedicated to ...

In PET image reconstruction, regularization is often needed to reduce the noise in the resulting images. Patch-based image processing techniques have recently been successfully used for regularization in medical image reconstruction through a penalized likelihood framework. Re-parameterization within reconstruction is another powerful regularization technique in which the object in the scanner ...

We report a study of the original image reconstruction algorithm based on time-of-flight maximum-likelihood expectation–maximization (TOF MLEM), developed for total-body (TB) Jagiellonian PET (J-PET) scanners. The method is applicable to generic cylindrical or modular multilayer layouts and extendable multiphoton imaging. system response matrix (SRM) represented as set analytical functions, uni...

Abstract We develop a positronium imaging method for the Jagiellonian PET (J-PET) scanners based on time-of-flight maximum likelihood expectation maximisation (TOF MLEM). The system matrix elements are calculated on-the-fly coincidences comprising two annihilation and one de-excitation photons that originate from ortho-positronium (o-Ps) decay. Using Geant4 library, Monte Carlo simulation was c...

OBJECTIVE(S) In SPECT, the sinogram contains scatter and lack of attenuated counts that degrade the reconstructed image quality and quantity. Many techniques for attenuation and scatter correction have been proposed. An acceptable method of correction is to incorporate effects into an iterative statistical reconstruction. Here, we propose new Maximum Likelihood Expectation Maximization (MLEM) f...