2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)最新文献_第2页

Analysis of coexisting neuronal populations in optogenetic and conventional BOLD data 光遗传学和传统BOLD数据中共存神经元群的分析

2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2012-12-01 DOI: 10.1109/SPMB.2012.6469467

Henning U. Voss, Ana I. Domingos

引用次数: 2

A Bayesian approach to inferring fiber tract bundle labels in Diffusion Tensor Imaging 扩散张量成像中推断纤维束标签的贝叶斯方法

2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2012-12-01 DOI: 10.1109/SPMB.2012.6469458

Xuwei Liang

{"title":"A Bayesian approach to inferring fiber tract bundle labels in Diffusion Tensor Imaging","authors":"Xuwei Liang","doi":"10.1109/SPMB.2012.6469458","DOIUrl":"https://doi.org/10.1109/SPMB.2012.6469458","url":null,"abstract":"Aiming for achieving anatomically meaningful results in automatic unsupervised clustering of reconstructed white matter (WM) fiber tracts in Diffusion Tensor Imaging (DTI), we present a Bayesian approach enabling to incorporate prior anatomical knowledge and handle outliers easily. Particularly, the distribution of WM fiber tracts is described by a Gaussian mixture model. By applying the Bayesian theorem, we are able to evaluate the posterior probability that a fiber tract belongs to each target bundle based on both the probability distribution and prior anatomical information. A fiber tract is labeled into a target bundle with which the maximum posterior probability occurs. If all calculated posterior probabilities are smaller than a user defined threshold, the fiber tract is labeled as an outlier. The prior anatomical information is represented by the target fiber tract bundles' prior distribution which can be obtained by anatomical studies and may be amended by further researches. The fact that this type of prior information is less dependent on individual brain structures than that in some existing methods makes this approach useful in group studies. Real DTI datasets are used to assess the performance of the method. Experimental results show that this technique is feasible and may have potential applications in group analysis of WM fiber tracts in DTI.","PeriodicalId":300561,"journal":{"name":"2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","volume":"375 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134129573","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

Robustness analysis of sparsity based tumor localization under tissue configuration uncertainty 组织构型不确定性下基于稀疏度的肿瘤定位鲁棒性分析

2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2012-12-01 DOI: 10.1109/SPMB.2012.6469463

M. Pourhomayoun, M. Fowler, Zhanpeng Jin

{"title":"Robustness analysis of sparsity based tumor localization under tissue configuration uncertainty","authors":"M. Pourhomayoun, M. Fowler, Zhanpeng Jin","doi":"10.1109/SPMB.2012.6469463","DOIUrl":"https://doi.org/10.1109/SPMB.2012.6469463","url":null,"abstract":"Knowing the exact position of the tumor is a very critical prerequisite in radiation therapy. Since the position of the tumor changes because of respiration or patient movements, a real-time tumor tracking method must be applied during the process of radiation therapy in order to deliver a sufficient dose of radiation to the tumor region without damaging the surrounding healthy tissues. In this paper, we develop a novel tumor positioning method based on spatial sparsity and then we investigate the sensitivity of this method to the uncertainty of tissue configuration. The proposed method is easier to implement, non-iterative, faster and more accurate compared to common magnetic transponder based approaches. The performance of the proposed method is evaluated in two different cases: (1) when the tissue configuration is perfectly determined (acquired beforehand by MRI or CT) and (2) when there are some uncertainties about the tissue boundaries. The results demonstrate the satisfactory accuracy and high performance of the proposed method, even when the tissue boundaries are imperfectly known.","PeriodicalId":300561,"journal":{"name":"2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115098492","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: 4

Speckle reduction using stepped-frequency continuous wave ultrasound 用步进频率连续波超声减少斑点

2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2012-12-01 DOI: 10.1109/SPMB.2012.6469470

C. Podilchuk, M. Bajor, W. Stoddart, L. Barinov, W. Hulbert, A. Jairaj, R. Mammone

{"title":"Speckle reduction using stepped-frequency continuous wave ultrasound","authors":"C. Podilchuk, M. Bajor, W. Stoddart, L. Barinov, W. Hulbert, A. Jairaj, R. Mammone","doi":"10.1109/SPMB.2012.6469470","DOIUrl":"https://doi.org/10.1109/SPMB.2012.6469470","url":null,"abstract":"Medical Ultrasonography is a valuable imaging technology for medical diagnostics and to guide interventional procedures. Ultrasound imaging is particularly useful in breast cancer detection and diagnosis for women with dense breast tissue where traditional mammography may fail to detect suspicious areas. However, ultrasound imaging suffers from speckle noise, an inherent characteristic of all coherent imaging techniques due to the presence of sub-resolution scatterers. Speckle noise produces a reduction in contrast resolution which is responsible for the overall lower effective resolution of ultrasound compared to x-ray or MRI imaging. In the case of breast imaging, ultrasound speckle can mask small details such as low contrast tumors or micro-calcifications, which may be an early indication of breast cancer. This limitation prevents ultrasound from displacing mammography as the gold standard for breast cancer screening. In conventional pulsed ultrasound imaging systems, de-noising techniques are used to minimize the effect of speckle noise. However, research shows that there is a tradeoff between the effectiveness of speckle reduction techniques and image resolution. We introduce stepped-frequency continuous wave ultrasound imaging which provides a framework where speckle reduction techniques are particularly effective, resulting in higher quality images with an improved SNR and significantly lower speckle noise while maintaining the spatial resolution of the original scan so that small lesions of interest are visible to the radiologist.","PeriodicalId":300561,"journal":{"name":"2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","volume":"453 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116180783","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: 5

A new complexity-based algorithmic procedures for electroencephalogram (EEG) segmentation 一种新的基于复杂度的脑电图分割算法

2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2012-12-01 DOI: 10.1109/SPMB.2012.6469462

B. Darkhovsky, A. Piryatinska

引用次数: 7

Quantification of motion artifacts in 4DCT using global Fourier analysis 用全局傅立叶分析量化4DCT中的运动伪影

2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2012-12-01 DOI: 10.1109/SPMB.2012.6469468

Jie Wei, Guang Li

{"title":"Quantification of motion artifacts in 4DCT using global Fourier analysis","authors":"Jie Wei, Guang Li","doi":"10.1109/SPMB.2012.6469468","DOIUrl":"https://doi.org/10.1109/SPMB.2012.6469468","url":null,"abstract":"Motion artifacts in 4-Dimensional computed tomography (4DCT) impose a potential problem in tumor and anatomy delineation, causing a systematic error in radiotherapy treatment planning. In patients, frequency and amplitude of motion artifacts appearing in 4DCT are currently manually evaluated by scrolling through all 4DCT images. This is a tedious, time consuming and error-prone process with an outcome that may be difficult for comparison among patients. In this study, we propose an automatic approach to evaluate the motion artifacts in 4DCT using Discrete Fourier transform. Instead of applying Fourier transform in local macro-blocks as done in ordinary signal processing and computer vision applications, we discover that 4DCTs of severe motion artifacts demonstrate special behavioral properties in their spectral domain after a global Fourier transform, which can be exploited to effectively quantify the severity of motion artifacts in 4DCT images via a band-passing analysis. This is the first effort in creating a computerized algorithm to evaluate the motion artifacts with a quantitative and objective evaluation with encouraging performances. Further study will be conducted with more patient data with more rigorous 4-dimensional analysis in the near future.","PeriodicalId":300561,"journal":{"name":"2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124029306","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: 5

Unobtrusive vital signs monitoring with range-controlled radar 用距离控制雷达监测不显眼的生命体征

2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2012-12-01 DOI: 10.1109/SPMB.2012.6469454

C. Graichen, J. Ashe, M. Ganesh, Lijie Yu

引用次数: 9

Spatial and temporal analysis of interictal activity in the epileptic brain 癫痫大脑间期活动的时空分析

2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2012-12-01 DOI: 10.1109/SPMB.2012.6469459

P. McCall, M. Cabrerizo, M. Adjouadi

{"title":"Spatial and temporal analysis of interictal activity in the epileptic brain","authors":"P. McCall, M. Cabrerizo, M. Adjouadi","doi":"10.1109/SPMB.2012.6469459","DOIUrl":"https://doi.org/10.1109/SPMB.2012.6469459","url":null,"abstract":"In clinical and research settings numerous algorithms have been developed for the analysis of electroencephalographic (EEG) data in the diagnosis of epilepsy and throughout the process of localizing the seizure onset zone (SOZ). This research highlights the merging of two major detection algorithms for the identification of High-Frequency Oscillations (HFO), also known as ripples, and Interictal Spikes (IIS) in both the spatial and temporal domain. IIS and HFO have become recognized as reliable biomarkers in identification of the epileptic focus in the cortex of epileptic patients. While IIS, commonly referred to as spikes, have classically been used for the diagnosis of epilepsy and for source localization techniques, ripples have been associated with more generalized cortex regions of interest and surrogate biomarkers for the seizure onset zone (SOZ). This research aims to combine these two analyses by correlating HFO and IIS events in the time domain for each electrode recording with the goal of yielding a more complete understanding of the abnormal electrical activity of the cortex in epileptic patients. Results are offered in the form HFO and IIS events per electrode as well as a surface representation of the number of temporally superimposed HFO and IIS per electrode.","PeriodicalId":300561,"journal":{"name":"2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115996541","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

Glomeruli segmentation in H&E stained tissue using perceptual organization 感知组织在H&E染色组织中的肾小球分割

2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2012-12-01 DOI: 10.1109/SPMB.2012.6469464

Siddharth Samsi, Wael N. Jarjour, Ashok K. Krishnamurthy

引用次数: 14

Distribution of intravascular and extravascular extracellular volume fractions for neovascularization assessment by dynamic contrast-enhanced magnetic resonance imaging 动态增强磁共振成像评估血管内和血管外细胞外体积分数的分布

2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2012-12-01 DOI: 10.1109/SPMB.2012.6469466

Yi Sun, Ze-bing Ye

引用次数: 2