2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)最新文献_第7页

CRF-Based Clustering of Pharmacokinetic Curves from Dynamic Contrast-Enhanced MR Images 基于crf的动态增强MR图像药代动力学曲线聚类研究

2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2018-09-01 DOI: 10.23919/SPA.2018.8563392

Jakub Jurek, Mateusz Pelesz, Are Losnegård, L. Reisæter, A. Wojciechowski, A. Klepaczko, O. Halvorsen, C. Beisland, M. Kociński, A. Materka, J. Rørvik, A. Lundervold

{"title":"CRF-Based Clustering of Pharmacokinetic Curves from Dynamic Contrast-Enhanced MR Images","authors":"Jakub Jurek, Mateusz Pelesz, Are Losnegård, L. Reisæter, A. Wojciechowski, A. Klepaczko, O. Halvorsen, C. Beisland, M. Kociński, A. Materka, J. Rørvik, A. Lundervold","doi":"10.23919/SPA.2018.8563392","DOIUrl":"https://doi.org/10.23919/SPA.2018.8563392","url":null,"abstract":"Traditionally, analysis of Dynamic Contrast-Enhanced Magnetic Resonance Images (DCE MRI) requires pharmacokinetic modelling to derive quantitative physiological parameters of the tissue. Modelling, however, is a complex task and many competing models of contrast agent kinetics and tissue structure were proposed. Alternatively, raw DCE data could be analysed to find correlation with pathology in the tissue or other desired effects, for example by clustering. In this paper, we propose a new method for DCE MRI timeseries clustering. We model the data space as a Conditional Random Field (CRF) and optimize the objective function in order to find cluster labels for all timeseries. The method is unsupervised and fully automatic. We also propose a strategy to speed up the clustering process using Support Vector Machines. We demonstrate the utility of our method on two distinct problems: prostate cancer localization and healthy kidney compartment segmentation.","PeriodicalId":265587,"journal":{"name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":"246 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117347829","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: 0

Transmitting Alarm Information in DAB+ Broadcasting System 在DAB+广播系统中传输报警信息

2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2018-09-01 DOI: 10.23919/SPA.2018.8563288

Przemysław Falkowski-Gilski

引用次数: 5

Speech Intelligibility in the presence of X4 Unmanned Aerial Vehicle X4无人机存在下的语音清晰度

2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2018-09-01 DOI: 10.23919/SPA.2018.8563410

M. Miesikowska

{"title":"Speech Intelligibility in the presence of X4 Unmanned Aerial Vehicle","authors":"M. Miesikowska","doi":"10.23919/SPA.2018.8563410","DOIUrl":"https://doi.org/10.23919/SPA.2018.8563410","url":null,"abstract":"The main purpose of this work was to obtain background sound levels and speech intelligibility as well as to evaluate classification of speech commands in the presence of an unmanned aerial vehicle (UAV) equipped with four rotating propellers. Speech intelligibility was assessed using speech interference level (SIL) parameter according to ISO 9921. The UAV background sound levels were recorded in laboratory conditions using Norsonic140 sound analyzer in the absence of the UAV and in the presence of the UAV. The classification of speech commands/left, right, up, down, forward, backward, start, stop/recorded with Olympus LS-11 was evaluated in laboratory condition based on Mel-frequency cepstral coefficients and discriminant function analysis. The UAV was hovering at 1.5m during recordings. The A-weighted sound level obtained in the presence of the UAV was 70.5 dB(A). Speech intelligibility rating was poor in the presence of the UAV. Discriminant analysis based on Mel-frequency cepstral coefficients showed very successful classification of speech commands equal to 100%. Evaluated speech intelligibility did not exclude verbal communication with the UAV. The successful classification of speech commands in the presence of the UAV can enable the control of the UAV using voice commands and general communication with the UAV using speech.","PeriodicalId":265587,"journal":{"name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124342337","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: 2

Crowd counting using complex convolutional neural network 基于复杂卷积神经网络的人群计数

2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2018-09-01 DOI: 10.23919/SPA.2018.8563383

Marcin Matlacz, G. Sarwas

引用次数: 3

Comparison of Performance of Different Background Subtraction Methods for Detection of Heavy Vehicles 不同背景减法在重型车辆检测中的性能比较

2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2018-09-01 DOI: 10.23919/SPA.2018.8563409

E. Canayaz, Veysel Gokhan Bocekci

引用次数: 3

Determination of the Vehicles Speed Using Acoustic Vector Sensor 利用声矢量传感器确定车辆速度

2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2018-09-01 DOI: 10.23919/SPA.2018.8563424

J. Kotus

引用次数: 6