Accelerated magnetic resonance (MR) image acquisition with compressed sensing (CS) and parallel imaging is a powerful method to reduce MR scan time. However, many reconstruction algorithms have high computational costs. To address this, we investigate deep residual learning networks remove aliasing artifacts from artifact corrupted images.The are composed of magnitude phase that separately trained. If both information available, the proposed algorithm can work as an iterative k-space...

Parallel MRI (pMRI) and compressed sensing (CS-MRI) have been considered as two distinct reconstruction problems. Inspired by recent k-space interpolation methods, an annihilating filter-based low-rank Hankel matrix approach is proposed a general framework for sparsity-driven method which unifies pMRI CS-MRI. Specifically, our based on novel observation that the transform domain sparsity in primary space implies low-rankness of weighted reciprocal space. This converts CS-MRI to problem using...

Compressed sensing (CS) enables significant reduction of MR acquisition time with performance guarantee. However, computational complexity CS is usually expensive. To address this, here we propose a novel deep residual learning algorithm to reconstruct images from sparsely sampled k-space data. In particular, based on the observation that coherent aliasing artifacts downsampled data has topologically simpler structure than original image data, formulate problem as regression and...

In many applications requiring multiple inputs to obtain a desired output, if any of the input data is missing, it often introduces large amounts bias. Although techniques have been developed for imputing missing data, image imputation still difficult due complicated nature natural images. To address this problem, here we proposed novel framework imputation, called Collaborative Generative Adversarial Network (CollaGAN). CollaGAN convert problem multi-domain images-to-image translation task...

Purpose MR parameter mapping is one of clinically valuable imaging techniques. However, increased scan time makes it difficult for routine clinical use. This article aims at developing an accelerated technique using annihilating filter based low‐rank Hankel matrix approach (ALOHA). Theory When a dynamic sequence can be sparsified spatial wavelet and temporal Fourier transform, this results in rank‐deficient structured that constructed weighted k‐t measurements. ALOHA then utilizes the low...

Purpose Magnetic resonance imaging (MRI) artifacts are originated from various sources including instability of an magnetic (MR) system, patient motion, inhomogeneities gradient fields, and so on. Such MRI usually considered as irreversible, additional artifact‐free scan or navigator is necessary. To overcome these limitations, this article proposes a novel compressed sensing‐based approach for removal artifacts. Theory Recently, the annihilating filter based low‐rank Hankel matrix was...

Abstract High thermal conductivity materials are critical for advanced management applications. The semiconductor cubic boron arsenide (c‐BAs) has drawn significant attention due to its ultrahigh conductivity. In this study, high‐quality isotope‐enriched (c‐ 10 BAs and c‐ 11 BAs) crystals synthesized further enhance the of c‐BAs measured a room temperature 1500 W m −1 K BAs. This value is highest reported so far. experimental together with ab initio calculation, verifies high quality...

This paper is intended to present bi-slotted tree based RFID tag anti-collision protocols, query algorithm (BSQTA) and collision tracking (BSCTTA). Diminishing prefix overhead iteration a significant issue minimize the cost. For fast identification, BSQTA BSCTTA use time divided responses depending on whether collided bit `0' or `1' at each ID. According simulation results, require less consumption for identification than other protocols

Abstract The engineering of structural colors is currently a promising, rapidly emerging research field because outstanding spatial resolution and durability can be generated using sustainable production method. However, the restricted saturated color range in micro/nano-fabricated ‘pigments’ has hindered dissemination printing. Here, this article presents spectral mixing filter (SMCF), which concept fine-tunable systems, capable addressing current issues engineering, by stacking vertical...

Purpose: Compressed sensing MRI (CS-MRI) from single and parallel coils is one of the powerful ways to reduce scan time MR imaging with performance guarantee. However, computational costs are usually expensive. This paper aims propose a computationally fast accurate deep learning algorithm for reconstruction images highly down-sampled k-space data. Theory: Based on topological analysis, we show that data manifold aliasing artifact easier learn uniform subsampling pattern additional...

In this paper, we propose a novel k-space method called ALOHA (Annihilating filter based LOw-rank Hankel matrix Approach) that unifies parallel imaging and compressed sensing as data interpolation problem. Specifically, employs annihilating relationships originated from the intrinsic image property finite rate of innovation model, well multi-coil acquisition physics. By interchanging with measurement, rank-deficient block structured can be obtained, whose missing elements restored by low...

RFID is a generic term for technologies which use RF waves to identify, track, or categorize any object. One of the research areas in systems tag anti-collision protocol; how reduce identification time with given number tags field an reader. There are two types protocols systems: tree based algorithms and slotted aloha algorithms. This paper proposes method enhancing performance present by scanning positions collided bits once accessing few memories at inform positions. Since scanning-based...

Passive RFID tags, which have no self-battery and just backscatter the energy from a reader, share common channel. It causes tag-to-tag collision problem when at least two or more tags communicate to reader simultaneously. The dynamic frame slotted Aloha (DFS-Aloha) protocol is one of well-known anti-collision algorithms solve this problem. To maximize system performance enhance reading speed protocols, we propose frame-size estimator modified version Q-Algorithm. performance, optimum bias...

In this study, we report for the first time on convection phenomenon consistent and sensitive detection of target materials (particulate matter (PM) or gases) with a high-performance transparent heater. The heater, based Pt-decorated Ni micromesh, was fabricated by combination transfer printing process Pt sputtering. resulting heater exhibited excellent mechanical durability, adhesion substrates, flexibility, heat-generating performance. We monitored changes in PM concentration temperature...

Recently, the robotics technologies are being used in field of performing art. As motion a humanoid robot is more sophisticated, based art became popular. In this paper, low cost system for live performance proposed. The proposed includes actors and authoring tools. consists several actuator modules control unit, tools consist suit editor software. was utilized to showed its potential possibility usefulness.

Multiple band optical filters for smart sensing, which is simultaneous multispectral detection of objects, are intensively used in many applications, such as remote monitoring, biomedical imaging, wearable sensors, and wireless communication. Typically, periodically stacked dielectric layers multiple filters. However, the use dielectrics inevitably results rigidity inflexibility, not suitable advanced sensors fabricated on flexible substrates. Therefore, herein, a strategy to implement...

In magnetic resonance (MR) imaging, T2 and star (T2*) relaxation times represent tissue properties, which can be quantified by specific imaging sequences. Especially, prime (T2') that derived from T2* are clinically valuable for delineation of areas with increased oxygen extraction fraction in acute stroke. However, there limitations this method because it requires acquisition many images the generation time maps. particular, saving is most important factor MRI ischemic stroke therapy should...