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2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro最新文献

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Which brainstem cells generate the respiration cycles? 哪些脑干细胞产生呼吸循环?
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490412
Allison W. Irvine, S. Chatzis, G. Tsechpenakis
{"title":"Which brainstem cells generate the respiration cycles?","authors":"Allison W. Irvine, S. Chatzis, G. Tsechpenakis","doi":"10.1109/ISBI.2010.5490412","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490412","url":null,"abstract":"We make a major step towards answering the question posed in the title, using as model the mouse foetus in its 17–19 embryonic days. We use (a) 2-photon microscopy to image the brainstem cell activity ([Ca2+]) in the pre-Boetzinger complex, and (b) electrical recordings from the phrenic nerve, which indicate the diaphragm contraction during inspiration. We classify the brainstem regions (individual cells or groups of cells) into ‘active’ and ‘inactive’, based on whether they contribute or not to the individual electrical signal peaks. As features, we use the Continuous Wavelet Transform-based Semblance responses, for comparing non-periodic and/or periodic-like signals. We use our novel Generative Mixture Model (GMM) possibilistic clustering to obtain the desired classes robustly. This way, we model the inspiration control as a physiological process, which is a crucial step towards understanding how the living brain controls breathing.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130022910","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
Connectivity concepts in diffusion and functional MRI 弥散和功能性MRI中的连通性概念
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490095
C. Westin
{"title":"Connectivity concepts in diffusion and functional MRI","authors":"C. Westin","doi":"10.1109/ISBI.2010.5490095","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490095","url":null,"abstract":"In this talk we will describe and contrast the basic concepts of structural connectivity, functional connectivity, and effective connectivity. Structural connectivity relates to the networks of physical connections. Diffusion MRI (dMRI) has recently gained tremendous popularity and is especially promising for imaging the white matter in the brain. Functional connectivity is based on measuring patterns of correlated activity in fMRI time series. We will describe how eigenimages or spatial modes can be used to estimate these spatial patterns of activity. Effective connectivity is also a concept from fMRI and describes networks of directional effects of one neural element over another. Connectivity in dMRI is often described by results from tractography. Tractography methods can broadly be divided in deterministic and probabilistic methods, and in this talk we will discuss the most popular ones.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130263941","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
Toward a method for automatic grading of microscope human embryo images 一种显微镜下人类胚胎图像自动分级的方法
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490232
E. Filho, J. Noble, D. Wells
{"title":"Toward a method for automatic grading of microscope human embryo images","authors":"E. Filho, J. Noble, D. Wells","doi":"10.1109/ISBI.2010.5490232","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490232","url":null,"abstract":"The precise assessment of embryo viability is an extremely important factor for the optimisation of the in vitro fertilisation procedure. In order to assess embryo viability, several embryo scoring systems have been developed. However, they rely mostly on the subjective visual analysis of the embryo morphological features. For instance, an important feature for evaluation of embryos at the day 5 post-fertilisation is the number of cells in the embryo outer layer. In this paper, we present a new method for automation of embryo grading. Based on a polar coordinate version of the input image, we estimated the number of cells in the selected plane of focus using the fractal dimension. A correlation coefficient of 0.81 (n=25) between fractal dimension and the number of cells was found. We also present first segmentation results and highlight challenges that lie ahead.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134125243","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: 12
Appearance analysis for diagnosing malignant lung nodules 诊断肺恶性结节的外观分析
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490380
A. El-Baz, G. Gimel'farb, R. Falk, M. El-Ghar
{"title":"Appearance analysis for diagnosing malignant lung nodules","authors":"A. El-Baz, G. Gimel'farb, R. Falk, M. El-Ghar","doi":"10.1109/ISBI.2010.5490380","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490380","url":null,"abstract":"An alternative method of diagnosing malignant lung nodules by their visual appearance rather than conventional growth rate is proposed. Spatial distribution of image intensities (or Hounsfield values) comprising the malignant nodule appearance is accurately modeled with a rotation invariant second-order Markov-Gibbs random field. Its neighborhood system and potentials are analytically learned from a training set of nodule images with normalized intensity ranges. Preliminary experiments on 109 lung nodules (51 malignant and 58 benign ones) resulted in the 96.3% correct classification (for the 95% confidence interval), showing the proposed method is a promising supplement to current technologies for early diagnostics of lung cancer.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131838217","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: 36
Cramér Rao bound analysis of joint B1/T1 mapping methods in MRI MRI关节B1/T1定位方法的cram<s:1> r - Rao界分析
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490075
A. Funai, J. Fessler
{"title":"Cramér Rao bound analysis of joint B1/T1 mapping methods in MRI","authors":"A. Funai, J. Fessler","doi":"10.1109/ISBI.2010.5490075","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490075","url":null,"abstract":"In MRI, RF field inhomogeneity (B<inf>1</inf>) and relaxation effects (T<inf>1</inf>) significantly affect both B<inf>1</inf> and T<inf>1</inf> mapping. Simultaneous joint estimation of both B<inf>1</inf> and T<inf>1</inf> has the potential to greatly improve both B<inf>1</inf> and T<inf>1</inf> estimation. This paper analyzes the Cramér Rao Bound for joint B<inf>1</inf>, T<inf>1</inf> estimation using common B<inf>1</inf> and T<inf>1</inf> pulse sequences. This analysis aids choosing pulse sequences and parameters given desired levels of B<inf>1</inf> and T<inf>1</inf> accuracy and the inherent trade off between the two mappings.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127575762","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: 9
Automatic segmentation of pathological tissues in cardiac MRI 心脏MRI病理组织的自动分割
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490306
Khaoula Elagouni, C. Ciofolo-Veit, B. Mory
{"title":"Automatic segmentation of pathological tissues in cardiac MRI","authors":"Khaoula Elagouni, C. Ciofolo-Veit, B. Mory","doi":"10.1109/ISBI.2010.5490306","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490306","url":null,"abstract":"In the context of cardiac viability assessment, we propose a new fully automatic method to segment and quantify myocardial pathological tissues in Late Enhancement Cardiac Magnetic Resonance images. Our two main contributions are a generic image intensity analysis and an original variational segmentation method, the Fast Region Competition. The obtained results are robust to anatomical variability and partial volume effects and false positives are avoided. To validate our results, we use representations that are independent of myocardium shape and size and compute clinically relevant indicators. The proposed method was tested on 100 slices and compared to other classical segmentation approaches, showing the best agreement with semi-automatic expert delineations.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128944186","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: 23
Evaluation of sagittal vertebral rotation in CT images by manual and automated methods 用人工和自动方法评价CT图像中矢状椎体旋转
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490323
T. Vrtovec, F. Pernus, B. Likar
{"title":"Evaluation of sagittal vertebral rotation in CT images by manual and automated methods","authors":"T. Vrtovec, F. Pernus, B. Likar","doi":"10.1109/ISBI.2010.5490323","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490323","url":null,"abstract":"Sagittal vertebral rotation (SVR) was systematically measured for 14 normal and 14 scoliotic vertebrae in images, acquired by computed tomography (CT). Manual measurements were performed by three observers, who identified the anatomical landmarks required to evaluate SVR by six manual methods (superior and inferior tangents, anterior and posterior tangents, mid-endplate and mid-wall lines). Automated measurements were performed by evaluating SVR from the symmetry of vertebral anatomical structures in two-dimensional (2D) sagittal cross-sections and in three-dimensional (3D) images. The low intra- and inter-observer variabilities of the automated method (standard deviation 0.9° and 1.6°) prove that the symmetry-based determination of SVR may yield higher measurement reproducibility and reliability while representing a faster, more feasible and more observer-friendly alternative to manual methods.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130932126","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
Experimental validation and sensitivity analysis for CFD simulations of cerebral aneurysms 脑动脉瘤CFD模拟的实验验证及灵敏度分析
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490170
Qi Sun, A. Groth, M. Bertram, Irina Wächter-Stehle, T. Bruijns, R. Hermans, V. Pereira, O. Brina, T. Aach
{"title":"Experimental validation and sensitivity analysis for CFD simulations of cerebral aneurysms","authors":"Qi Sun, A. Groth, M. Bertram, Irina Wächter-Stehle, T. Bruijns, R. Hermans, V. Pereira, O. Brina, T. Aach","doi":"10.1109/ISBI.2010.5490170","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490170","url":null,"abstract":"In this work, by exploiting a phantom aneurysm model, we illustrate the correlation between experimental data and computational fluid dynamics (CFD) simulation results under well controlled conditions. This is difficult to achieve with clinical patient cases where several uncertainties are present. Quantitative measures are defined for CFD validation by virtual angiography. In addition, a parametric study has been carried out to systematically investigate the sensitivity of current measuring technique on the flow pattern.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133038134","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: 6
Hierarchical adaptive local affine registration for respiratory motion estimation from 3-D MRI 三维MRI呼吸运动估计的层次自适应局部仿射配准
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490219
C. Buerger, T. Schaeffter, A. King
{"title":"Hierarchical adaptive local affine registration for respiratory motion estimation from 3-D MRI","authors":"C. Buerger, T. Schaeffter, A. King","doi":"10.1109/ISBI.2010.5490219","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490219","url":null,"abstract":"Non-rigid image registration techniques are commonly used to estimate respiratory motion. Due to the computational complexity of freeform techniques based on control points, hierarchical techniques have been proposed which successively sub-divide the non-rigid registration problem into multiple locally rigid or affine components. A potential drawback of these techniques is that the image content is not considered during the subdivision process. In this paper, we propose a novel adaptive subdivision technique that attempts to automatically divide the image into areas of similar motion, resulting in more accurate local registrations. We demonstrate our new technique by using it to estimate thoracic respiratory motion fields from dynamic MRI data and compare our approach with non-adaptive local rigid and local affine approaches.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132721806","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: 6
Photon attenuation correction in whole-body PET/MRI using tissue classification 利用组织分类校正全身PET/MRI中的光子衰减
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Pub Date : 2010-04-14 DOI: 10.1109/ISBI.2010.5490173
A. Martinez-Möller, M. Souvatzoglou, S. Nekolla
{"title":"Photon attenuation correction in whole-body PET/MRI using tissue classification","authors":"A. Martinez-Möller, M. Souvatzoglou, S. Nekolla","doi":"10.1109/ISBI.2010.5490173","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490173","url":null,"abstract":"A challenge for hybrid PET/MRI imaging is the determination of the photon attenuation map to correct the acquired PET data. Segmentation of adapted MRI sequence data in four tissue classes (background, lungs, fat, and soft tissue) is proposed and evaluated using data from 35 PET/CT whole-body oncological examinations as well as two PET/CT and MRI examinations from the same patients. When reconstructing with the segmented attenuation map, small differences in tumor uptake were observed mainly for osseous lesions, but did not change the clinical interpretation in any case. The method appears to be viable for clinical use.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114384365","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
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