Retrospective artifact correction (RAC) improves image quality post acquisition and enhances usability. Recent machine learning driven techniques for RAC are predominantly based on supervised therefore practical utility can be limited as data with paired artifact-free artifact-corrupted images typically insufficient or even non-existent. Here we show that unwanted artifacts disentangled removed...

For decades, IS researchers have discussed the reliability of subjective measurements to assess actual artifact usage. Especially in experimental settings, as in the design science context for instance, the participants’ usage data of the evaluated artifact represents an important point of analysis. However, collecting objective usage data, (i.e. logfiles) is often not feasible depending on the...

Artifact capabilities can play an important role in understanding human cognition. Over time humans learn to use artifacts, evolve the knowledge and combine acquired capabilities with others to form complex capabilities. In this study we present a hybrid ontology for artifacts to facilitate learning artifact capabilities. We develop a framework where agents simultaneously exploit a centralized ...

JPEG compression introduces a number of well known artifacts including blocking and ringing. We describe a lesser known or understood artifact consisting of a slightly darker or lighter pixel in the corner of 8×8 pixel blocks. This artifact is introduced by the directed rounding of DCT coefficients. In particular, we show that DCT coefficients that are uniformly rounded down or up (but not to t...

Approach We developed an object-based (OB) change detection approach enhanced by its integration with Multivariate Alteration Detection (MAD) transformation and decision tree-based post-classification methods (Figure 1). Recent studies have found that MAD methods are promising in change detection analysis. However, MAD has not been wellstudied in terms of reducing errors due to mis-registration...

Tract-Based Spatial Statistics (TBSS) is a popular software pipeline to coregister sets of diffusion tensor Fractional Anisotropy (FA) images for performing voxel-wise comparisons. It is primarily defined by its skeleton projection step intended to reduce effects of local misregistration. A white matter "skeleton" is computed by morphological thinning of the inter-subject mean FA, and then all ...

background subdiaphragmatic activity can produce subdiaphragmatic-related artifacts, which can degrade the quality of myocardial perfusion imaging (mpi). objectives we examined the impact of drinking milk, water, and lemon juice on different subdiaphragmatic-related artifacts by using 99mtc-sestamibi myocardial single-photon emission computed tomography (spect) in order to determine a feasible ...

Background/Purpose. Limited spatial resolution of positron emission tomography (PET) requires partial volume correction (PVC). Region-based PVC methods are based on geometric transfer matrix implemented either in image-space (GTM) or sinogram-space (GTMo), both with similar performance. Although GTMo is slower, it more closely simulates the 3D PET image acquisition, accounts for local variation...

An alternative to a classical wavelength interferometer (an array of hand-assembled etalons consisting of two semitransparent mirrors separated by a fixed-cavity) is the implementation of wide band tunable filter using Micro-ElectroMechanical Systems (MEMS) technology. This approach will allow a single tunable device to replace an array of fixed-cavity filters reducing cost and parts. MEMS tech...

BACKGROUND With the aging population and rising healthcare costs, wearable monitoring is gaining importance. The motion artifact affecting dry electrodes is one of the main challenges preventing the widespread use of wearable monitoring systems. In this paper we investigate the motion artifact and ways of making a textile electrode more resilient against motion artifact. Our aim is to study the...