We compared metal artifact in X-ray digital tomosynthesis (DT) and modern computed tomography (CT) reconstruction to improve the image quality. We compared the images of a prosthetic phantom (titanium) and a contrast-detail phantom obtained by DT using conventional filtered backprojection (FBP), metal artifact reduction (MAR) processing, and simultaneous iterative reconstruction technique (SIRT...

The presence of noise and absence of contrast in electron micrographs lead to a reduced resolution of the final 3D reconstruction, due to the inherent limitations of single-particle image alignment. The fast rotational matching (FRM) algorithm was introduced recently for an accurate alignment of 2D images under such challenging conditions. Here, we implemented this algorithm for the first time ...

GE Healthcare, USA In a functional PET/MR study, it is difficult to get good temporal resolution of activity distribution from PET images because of the need to image for a certain length of time to get sufficient count statistics (image SNR). Time-of-flight (TOF) reconstruction can be used to increase PET images SNR and therefore increase the temporal resolution. Five patients were injected wi...

  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 Maximiz...

By using time-of-flight information encoded in multiply scattered light, it is possible to reconstruct images of objects hidden from the camera's direct line of sight. Here, we present a non-line-of-sight imaging system that uses a single-pixel, single-photon avalanche diode (SPAD) to collect time-of-flight information. Compared to earlier systems, this modification provides significant improve...

An important part of any computed tomography (CT) system is the reconstruction method, which transforms the measured data into images. Reconstruction methods for CT can be either analytical or iterative. The analytical methods can be exact, by exact projector inversion, or nonexact based on Back projection (BP). The BP methods are attractive because of their simplicity and low computational cos...

The interdisciplinary area of digital signal and image processing forms a basis for de-noising, enhancement, recovery and classification of biomedical images. The paper is devoted to the wavelet transform as a general mathematical tool and its use for image decomposition and reconstruction to recover its corrupted regions. The main part of the paper is devoted to image decomposition, thresholdi...

The reconstruction of a high resolution (HR) image from its low resolution (LR) counterpart is a challenging problem. The recently developed sparse representation (SR) techniques provide new solutions to this inverse problem by introducing the l1-norm sparsity prior into the super-resolution reconstruction process. In this paper, we present a new SR based image super-resolution by optimizing th...

We present a system for automatic people tracking and activity recognition. This video includes the contribution of 3 papers over 2 years [1], [2], [3]. We show results on many sequences, including clips from a feature-length film and historical sports footage (all tracked completely automatically). We show results that utilize the tracker to obtain 3D reconstructions and activity descriptions ...