面向智能手机的磁共振弹性图像仿真与信息处理系统的设计与实现
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摘要
为了满足医务人员、科研人员以及个性化医疗患者在使用磁共振弹性图像信息处理系统时的便捷性和智能化需求,设计了一种基于智能手机的磁共振弹性图像仿真与信息处理系统.通过对磁共振弹性图像的分析以及处理算法的深入研究,以html5+css3+javascript语言为基础在AppCan(hybrid混合移动开发平台)平台下对软件进行开发,其中html5+css3语言编写的部分负责实现软件界面的设计以及对磁共振弹性图像的灰度值数据的获取;javascript语言编写的部分负责对获取的数据进行仿真与重构,并可以在智能手机实时显示.该项软件设计的意义体现在利用智能手机通过触摸屏进行操作的交互优势,使磁共振弹性图像的仿真与重构过程更加智能化,在医学诊断和个性化医疗推广等领域有着广泛的应用价值和潜力.
To meet the requirement of portability and intelligentization when medical doctors, researchers and patients use magnetic resonance elastography(MRE) information processing system, a magnetic resonance elastic image simulation and information processing system was designed based on the smartphone platform. By analyzing MRE and studying processing algorithms, software based on the html5 + css3 + javascript language in AppCan(hybrid mixed mobile development platform) platform was developed. The design of software interface and acquisition of MRE data were projected by html5+css3 language. The simulation and reconstruction of the MRE data was designed by javascript language, and it can be shown on the smartphone platform in real time. The significance of the software lies in the advantage of operating easily by touch screen on the smartphone platform. The simulation and reconstruction process of MRE is more intelligent and portable, indicating its application value and potential in popularizing smart medical diagnosis and personalized diagnosis.
To meet the requirement of portability and intelligentization when medical doctors, researchers and patients use magnetic resonance elastography(MRE) information processing system, a magnetic resonance elastic image simulation and information processing system was designed based on the smartphone platform. By analyzing MRE and studying processing algorithms, software based on the html5 + css3 + javascript language in AppCan(hybrid mixed mobile development platform) platform was developed. The design of software interface and acquisition of MRE data were projected by html5+css3 language. The simulation and reconstruction of the MRE data was designed by javascript language, and it can be shown on the smartphone platform in real time. The significance of the software lies in the advantage of operating easily by touch screen on the smartphone platform. The simulation and reconstruction process of MRE is more intelligent and portable, indicating its application value and potential in popularizing smart medical diagnosis and personalized diagnosis.
引文
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[3]DUNHAM I,SHIMIZU N,ROE B A,et al.The DNA sequence of human chromosome 22[J].Nature,2003,402(6761):489-495.
[4]CHEN W,YU H,SUN F,et al.Mobile platform for multiplexed detection and differentiation of diseasespecific nucleic acid sequences,using microfluidic loop mediated isothermal amplification and smartphone detection[J].Analytical chemistry,2017,89:11219-11226.
[5]GOROCS Z,RIVENSON Y,KOYDEMIR H C,et al.Quantitative fluorescence sensing through highly autofluorescent,scattering,and absorbing media using mobile microscopy[J].ACS Nano,2016,10(9):8989-8999.
[6]LIHACHEV A,DERJABO A,FERULOVA I,et al.Autofluorescence imaging of basal cell carcinoma by smartphone RGB camera[J].Journal of Biomedical Optics,2015,20(12):120502.
[7]GARCIA M R,STRINGASCI M D,MAGALHESDV,et al.Photoaging evaluation by RGB images using a smartphone for photodynamic therapy assessment[C]//European Conferences on Biomedical Optics.Munich,Germany:SPIE,2017:1041108.
[8]FATHY M E,PATEL V M,CHELLAPPA R.Facebased active authentication on mobile devices[C]//IEEE International Conference on Acoustics,Speech and Signal Processing.Brisbane,Australia:IEEE,2015:1687-1691.
[9]JIANG Z,HAN J,QIAN C,et al.VADS:Visual attention detection with a smartphone[C]//IEEEInternational Conference on Computer Communications.San Francisco,USA:IEEE,2016:1-9.
[10]NEJ ATI H,POMPONIU V,DO T T,et al.Smartphone and mobile image processing for assisted living:Health-monitoring apps powered by advanced mobile imaging algorithms[J].IEEE Signal Processing Magazine,2016,33(4):30-48.
[11]AHN S,KANG J,KIM P,et al.Smartphone-based portable ultrasound imaging system:Prototype implementation and evaluation[C]//IEEEInternational Ultrasonics Symposium.Taipei,China:IEEE,2015:1-4.
[12]W ESTBERG M,VASKO T,OWEN L S,et al.Personal smartphones for neonatal diagnostic imaging:A prospective crossover study[J].J Paediatr Child Health,2017,53(4):343-347.
[13]LI NC T,ZIMMERMAN S L,CHU L C,et al.Evaluation of coronary artery disease and coronary anomalies with a handheld smartphone[J].Journal of Digital Imaging,2017,30(6):732-737.
[14]SE ONG N J,KIM B,LEE S,et al.Off-site smartphone reading of CT images for patients with inconclusive diagnoses of appendicitis from on-call radiologists[J].American Journal of Roentgenology,2014,203(1):3-9.
[15]K RUSE S A,ROSE G H,GLASER K J,et al.Magnetic resonance elastography of the brain[J].NeuroImage,2008,39(1):231-237.
[16]BABU K R,SUNITHA K V N.An effective hybrid technique for image enhancement through genetic algorithm-morphological operations[J].International Journal of Signal&Imaging Systems Engineering,2014,7(2):83-91.
[17]WILSON A D.TouchLight:An imaging touch screen and display forge-sture-based interaction[C]//Proceedings of the 6th International Conference on Multimodal Interfaces.PA,USA:ACM,2004:69-76.
[18]M ISHRA S,KANKAL R,LUNAWAT S,et al.Interactive automation interface using android app and speech recognition over wireless LAN and internet[C]//International Conference&Workshop on Electronics&Telecommunication Engineering.Mumbai,India:IET,2017:7-7.
[19]刘超.基于Android平台人脸识别系统的设计与实现[D].吉林:吉林大学.
[20]BABACK M,ALEX P.Probabilistic Visual Learning for object representation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,19(7):696-710.
[21]C HAITOW L.Palpation and Assessment Skills:Assessment through Tooth[M].Elsevier Health Sciences,UK,2010.
[22]P LECHA D M,PHAM R M,KLEIN N,et al.Addition of shear-wave elastography during secondlook MR imaging-directed breast US:Effect on lesion detection and biopsy targeting[J].Radiology,2014,272(3):657-664.
[23]V ENKATESH S K,EHMAN R L.Magnetic resonance elastography of abdomen[J].Abdominal Imaging,2015,40(4):745-759.
[24]K RUSE S A,ROSE G H,GLASER K J,et al.Magnetic resonance elastography of the brain[J].NeuroImage,2008,39(1):231-237.
[25]BOHTE A E,GARTEISER P,DE N A,et al.MRelastography of the liver:Defining thresholds for detecting viscoelastic changes[J].Radiology,2013,269(3):768-776.
[26]LEE Y,LEE J M,LEE J E,et al.MR elastography for noninvasive assessment of hepatic fibrosis:Reproducibility of the examination and reproducibility and repeatability of the liver stiffness value measurement[J].Journal of Magnetic Resonance Imaging,2014,39(2):326-331.
[27]PEPIN K M,EHMAN R L,MCGEE K P.Magnetic resonance elastography(MRE)in cancer:Technique,analysis,and applications[J].Progress in Nuclear Magnetic Resonance Spectroscopy,2015,90-91:32-48.
[28]KIM D H,YANG J W,KIM M J.Magnetic resonance elastography[J].Foreign Medical Biomedical Engineering Fascicle,2007,8(1):46-55.
[29]P ATZ S,NAZARI N,SCHREGEL K,et al.Functional neuro-imaging with magnetic resonance elastography[J].Journal of the Acoustical Society of America,2017,141(5):3492-3492.
[30]朱霞丽,李炳南,向馗.面向磁共振弹性成像的数值建模与仿真研究[J].电子学报,2017,45(6):1483-1489.