Until recently, the most widely used methods for image reconstruction were direct analytic
techniques. Iterative techniques, although computationally much more intensive, produce …

An overview of the theory of 4D image reconstruction for emission tomography is given
along with a review of the current state of the art, covering both positron emission …

Iterative methods for 3D image reconstruction have the potential to improve image quality
over conventional filtered back projection (FBP) in X-ray computed tomography (CT) …

The suppression of streak artifacts in computed tomography with a limited-angle
configuration is challenging. Conventional analytical algorithms, such as filtered …

Purpose: Iterative reconstruction methods often offer better imaging quality and allow for
reconstructions with lower imaging dose than classical methods in computed tomography …

This manuscript is devoted to variational models, their corresponding Euler–Lagrange
equations and numerical implementations for image processing. Such techniques allow us …

We designed a dedicated multi-detector multi-pinhole brain SPECT scanner to generate
images of higher quality compared to general-purpose systems. The system, AdaptiSPECT …

With brain-dedicated multi-detector systems employing pinhole apertures the usage of
detectors facing the top of the patient's head (ie quasi-vertex (QV) views) can provide the …

Estimating lung volume capacity is crucial in clinical medicine, especially in disease
diagnostics. However, the existing estimation methods are complex and expensive, which …

Fast image reconstruction techniques are becoming important with the increasing number of
scientific cases in high resolution micro and nano tomography. The processing of the large …