2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)最新文献

A Robust Compressive Sampling Method for MR Images Based on Partial Scanning and Apodization 基于部分扫描和apodiization的MR图像鲁棒压缩采样方法

2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2018-12-01 DOI: 10.1109/ISSPIT.2018.8642640

Henry Kiragu, E. Mwangi, G. Kamucha

{"title":"A Robust Compressive Sampling Method for MR Images Based on Partial Scanning and Apodization","authors":"Henry Kiragu, E. Mwangi, G. Kamucha","doi":"10.1109/ISSPIT.2018.8642640","DOIUrl":"https://doi.org/10.1109/ISSPIT.2018.8642640","url":null,"abstract":"This paper proposes a robust, fast Magnetic Resonance Imaging (MRI) reconstruction algorithm. The method is based on Compressive Sampling (CS), profile of the k-space coefficients and sparsity in the wavelet transform domain. It commences with partial acquisition of the k-space of the image followed by random sampling prior to reconstruction in the wavelet transform domain using a greedy algorithm. The reconstructed wavelet coefficients vector is transformed into the full k-space vector of the image by determining its Inverse Discrete Wavelet Transform (IDWT) domain. The vectorized form of the k-space reveals the reconstruction artifacts which makes it easy to design a denoising filter. The artifacts are then suppressed using an apodization function. The denoised coefficients are then reshaped into a k-space matrix prior to being transformed into the reconstructed image using two-dimensional Inverse Discrete Fourier Transform (2D-IDFT). The Structural SIMilarity (SSIM) and the Peak Signal to Noise Ratio (PSNR) quality metrics are used for quality assessment of the output images. Experimental results show that the proposed method yields an average PSNR improvement of 1.4 dB over the Orthogonal Matching Pursuit (OMP) method at 40% measurements. The improvement implies reduction in scan time by approximately 10% for a given image quality.","PeriodicalId":361288,"journal":{"name":"2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126742037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Novel Fully Automated CAD System for Left Ventricle Volume Estimation 一种新型的全自动左心室容积估算CAD系统

2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2018-12-01 DOI: 10.1109/ISSPIT.2018.8642754

Omar Dekhil, F. Taher, F. Khalifa, G. Beache, Adel Said Elmaghraby, A. El-Baz

引用次数: 3

Using Unsupervised Anomaly Detection to Analyze Physiological Signals for Emotion Recognition 基于无监督异常检测的情绪识别生理信号分析

2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2018-12-01 DOI: 10.1109/ISSPIT.2018.8642690

G. Popoola, C. Graves, Phyllis Ford-Booker

引用次数: 2

Extraction of Fetal Electrocardiogram signals using Blind Source Extraction Based Parallel Linear Predictor Filter 基于盲源提取的平行线性预测滤波器提取胎儿心电图信号

2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2018-12-01 DOI: 10.1109/ISSPIT.2018.8642620

L. Taha, E. Abdel-Raheem

引用次数: 7

Pixel-wise Illumination Correction Algorithms for Relative Color Constancy Under the Spectral Domain 光谱域下相对颜色常数的逐像素照明校正算法

2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2018-12-01 DOI: 10.1109/ISSPIT.2018.8642759

Yunfeng Zhao, C. Elliott, Huiyu Zhou, K. Rafferty

引用次数: 2

A Graph Database of Yelp Dataset Challenge 2018 and Using Cypher for Basic Statistics and Graph Pattern Exploration Yelp数据集挑战赛2018的图形数据库和使用Cypher进行基本统计和图形模式探索

2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2018-12-01 DOI: 10.1109/ISSPIT.2018.8642700

Michael Kronmueller, Dar-jen Chang, Hanqing Hu, A. Desoky

引用次数: 4

Development of a high-performance ultrasonic flow system for cell transformation 一种用于细胞转化的高性能超声流系统的研制

2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2018-12-01 DOI: 10.1109/ISSPIT.2018.8705103

Connor S. Centner, E. Murphy, Caroline M. Stivers, Marie S. Burns, Mariah C. Priddy, Brett R. Janis, M. Menze, Jonathan A. Kopechek

{"title":"Development of a high-performance ultrasonic flow system for cell transformation","authors":"Connor S. Centner, E. Murphy, Caroline M. Stivers, Marie S. Burns, Mariah C. Priddy, Brett R. Janis, M. Menze, Jonathan A. Kopechek","doi":"10.1109/ISSPIT.2018.8705103","DOIUrl":"https://doi.org/10.1109/ISSPIT.2018.8705103","url":null,"abstract":"Cell transformation is an important process utilized in a wide variety of research and medical applications. Current methods for cell transformation generally depend on viral delivery or other methods which are often limited by inefficiency and/or toxicity. An alternative approach known as sonoporation may avoid these issues. Sonoporation can occur when ultrasound pulses induce microbubble oscillation near cellular membranes causing formation of transient pores. Sonoporation has been shown to enhance molecular delivery to cells. To improve the efficiency and consistency of molecular delivery via sonoporation, we have developed a high-performance ultrasonic flow system which integrates ultrasound and microfluidic technology. One particular application of interest involves loading red blood cells (RBCs) with trehalose for dry preservation. Storage of RBCs is limited by a short shelf-life of 42 days when refrigerated, and frozen storage is limited by the complex process that is required which involves adding and removing glycerol from RBCs before and after freezing them for storage at -80 oC. A technology that enables dry storage of blood at ambient temperature would have significant global impact. A potential solution to achieve this goal is to load RBCs with trehalose which can form a protective barrier around cell membranes during freezing and drying. Trehalose is a sugar molecule found in many organisms that survive freezing and desiccation, but mammalian cells are impermeable to trehalose. Therefore, trehalose must be actively loaded into human cells. In this study we have evaluated the performance of our ultrasonic flow system to load trehalose into RBCs. In addition, this platform technology can potentially be utilized to transform other cell types for a variety of different applications.","PeriodicalId":361288,"journal":{"name":"2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131218051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Automated Foveal Detection in OCT Scans OCT扫描自动中央凹检测

2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2018-12-01 DOI: 10.1109/ISSPIT.2018.8642788

Bilal Hassan, Ramsha Ahmed, Bo Li

引用次数: 10

Resampling with less than 1/100th Hz Difference Accuracy through On Demand Sample Creation 通过按需采样创建，以小于1/100 Hz的差分精度重新采样

2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2018-12-01 DOI: 10.1109/ISSPIT.2018.8642688

Andreas Falkenberg

引用次数: 0

A Significant Regional-based Diagnosis System for Early Detection of Alzheimer’s Disease Using sMRI Scans 一个基于区域的基于sMRI扫描的早期检测阿尔茨海默病的诊断系统

2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2018-12-01 DOI: 10.1109/ISSPIT.2018.8642665

F. E. El-Gamal, M. Elmogy, A. Khalil, M. Ghazal, Hassan H. Soliman, A. Atwan, R. Keynton, G. Barnes, A. El-Baz

{"title":"A Significant Regional-based Diagnosis System for Early Detection of Alzheimer’s Disease Using sMRI Scans","authors":"F. E. El-Gamal, M. Elmogy, A. Khalil, M. Ghazal, Hassan H. Soliman, A. Atwan, R. Keynton, G. Barnes, A. El-Baz","doi":"10.1109/ISSPIT.2018.8642665","DOIUrl":"https://doi.org/10.1109/ISSPIT.2018.8642665","url":null,"abstract":"Alzheimer’s disease (AD) is an irreversible neurodegenerative disorder that targets the central nervous system causing a significant degradation that affects the patient’s life. The early diagnosis of the disease is highly recommended due to a number of factors that can assist in improving the quality of patients’ life. The main aim of this paper is to present a personalized-based computer-aided diagnosis (CAD) system to serve the early diagnosis of AD. This system aims to visualize the disease’s effect in each of the brain regions to provide more assistance in the diagnosis and consequently the treatment procedures. To achieve better performance and precise diagnosis results, the statistical analysis has been applied to define a subset of brain regions that show significant influence by the disease. Evaluating the system’s performance shows an accuracy, specificity, and sensitivity of 96%, 100%, and 93.1%, respectively. These results were validated with the related work and showed promising results in addressing the classification problem of the early diagnosis of AD.","PeriodicalId":361288,"journal":{"name":"2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132175704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1