2013 IEEE 10th International Symposium on Biomedical Imaging最新文献

Motor neuron recognition in the Drosophila ventral nerve cord 果蝇腹侧神经索的运动神经元识别

2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-07-15 DOI: 10.1109/ISBI.2013.6556816

Xiao Chang, Michael D. Kim, A. Chiba, G. Tsechpenakis

引用次数: 1

Accelerated noncartesian sense reconstruction using a majorize-minimize algorithm combining variable-splitting 结合变量分割的最大化-最小化算法加速非笛卡儿感知重构

2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-04-07 DOI: 10.1109/ISBI.2013.6556572

S. Ramani, J. Fessler

{"title":"Accelerated noncartesian sense reconstruction using a majorize-minimize algorithm combining variable-splitting","authors":"S. Ramani, J. Fessler","doi":"10.1109/ISBI.2013.6556572","DOIUrl":"https://doi.org/10.1109/ISBI.2013.6556572","url":null,"abstract":"Magnetic resonance imaging (MRI) provides great flexibility in the choice of k-space sampling trajectories. NonCartesian trajectories exhibit several advantages over Cartesian ones but are less amenable to FFT-based manipulation of k-space data. Thus, existing iterative reconstruction methods for nonCartesian trajectories require relatively more computation (interpolation/gridding in addition to FFTs) and can be slow, especially for (undersampled) parallel MRI. In this work, we focus on SENSE-based regularized image reconstruction for nonCartesian trajectories and propose a majorize-minimize approach where we first majorize the SENSE data-fidelity term with a quadratic form involving a symmetric positive definite circulant matrix. For the minimization step, we apply a suitable variable splitting (VS) strategy combined with the augmented Lagrangian framework and alternating minimization that together decouple the circulant matrix from coil sensitivities and the regularizer. The resulting iterative algorithm admits simple update steps, is amenable to FFT-based matrix inversions due in part to the circulant matrix in the majorizer and provides a natural framework for incorporating a two-step procedure for acceleration. Simulations indicate that the proposed algorithm converges faster than some state-of-the-art VSbased iterative image reconstruction methods for the same problem.","PeriodicalId":178011,"journal":{"name":"2013 IEEE 10th International Symposium on Biomedical Imaging","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117133102","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

3D cardiac cine reconstruction from free-breathing 2D real-time image acquisitions using iterative motion correction 利用迭代运动校正从自由呼吸的二维实时图像采集中重建三维心脏电影

2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-04-07 DOI: 10.1109/ISBI.2013.6556599

Martin Jantsch, D. Rueckert, A. Price, J. Hajnal

引用次数: 1

Preclinical x-ray dark-field radiography for pulmonary emphysema evaluation 临床前x线暗场x线评价肺气肿

2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-04-07 DOI: 10.1109/ISBI.2013.6556489

A. Yaroshenko, F. Meinel, M. Bech, A. Tapfer, A. Velroyen, S. Schleede, Mark Müller, S. Auweter, A. Bohla, A. Yildirim, K. Nikolaou, F. Bamberg, O. Eickelberg, M. Reiser, F. Pfeiffer

{"title":"Preclinical x-ray dark-field radiography for pulmonary emphysema evaluation","authors":"A. Yaroshenko, F. Meinel, M. Bech, A. Tapfer, A. Velroyen, S. Schleede, Mark Müller, S. Auweter, A. Bohla, A. Yildirim, K. Nikolaou, F. Bamberg, O. Eickelberg, M. Reiser, F. Pfeiffer","doi":"10.1109/ISBI.2013.6556489","DOIUrl":"https://doi.org/10.1109/ISBI.2013.6556489","url":null,"abstract":"Pulmonary emphysema is a widespread disorder characterized by irreversible destruction of alveolar walls. The spatial distribution of the disease, so far, could only be obtained using an X-ray CT scan, implying a high patient dose. X-ray scattering on alveolar structures is measured in the dark-field signal. The signal is dependent on the size of alveoli and therefore, a combination of absorption and darkfield signal is explored for mapping the distribution of emphysema in the lung on x-ray projection images. In this study three excised murine lungs with pulmonary emphysema and three control samples were imaged using a compact, cone-beam, small-animal x-ray dark-field scanner with a polychromatic source. Statistical analysis of the results, based on a combination of transmission and darkfield signals, revealed a distinct difference between emphysematous and control samples. Subsequently, the distribution of emphysema was mapped out per-pixel for the lungs and showed good agreement with histological findings.","PeriodicalId":178011,"journal":{"name":"2013 IEEE 10th International Symposium on Biomedical Imaging","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121098845","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: 3

Predicting functional cortical ROIs via joint modeling of anatomical and connectional profiles 通过关节建模解剖和连接剖面预测功能性皮质roi

2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-04-07 DOI: 10.1109/ISBI.2013.6556525

Tuo Zhang, Dajiang Zhu, Xi Jiang, Lei Guo, Tianming Liu

引用次数: 1

A graph theoretical regression model for brain connectivity learning of Alzheimer'S disease 阿尔茨海默病脑连通性学习的图理论回归模型

2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-04-07 DOI: 10.1109/ISBI.2013.6556550

Chenhui Hu, Lin Cheng, J. Sepulcre, G. Fakhri, Yue M. Lu, Quanzheng Li

引用次数: 38

Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer 局部聚类图中共发生的腺体张量:定量组织形态学预测中级前列腺癌生化复发

2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-04-07 DOI: 10.1109/ISBI.2013.6556425

George Lee, R. Sparks, Sahirzeeshan Ali, A. Madabhushi, M. Feldman, S. Master, N. Shih, J. Tomaszeweski

{"title":"Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer","authors":"George Lee, R. Sparks, Sahirzeeshan Ali, A. Madabhushi, M. Feldman, S. Master, N. Shih, J. Tomaszeweski","doi":"10.1109/ISBI.2013.6556425","DOIUrl":"https://doi.org/10.1109/ISBI.2013.6556425","url":null,"abstract":"Quantitative histomorphometry (QH), computational tools to analyze digitized tissue histology, has become increasingly important for aiding pathologists in assessing cancer severity. In this study, we introduce a novel set of QH features utilizing co-occurring gland tensors (CGT) in localized cluster graphs to quantitatively evaluate prostate cancer (CaP) histology. CGTs offer three main advantages over previous QH features: 1) gland tensors represent a novel measurement that has been anecdotally described as one of interest, but never quantitatively modeled, 2) CGTs extract measurements based on local rather than global glandular networks, constructed using cluster graphs, and 3) second order statistical features (energy, homogeneity, energy, and correlation) obtained from a co-occurrence matrix capture the spatial interactions of gland tensors in the image. We extract 4 CGT features from 56 regions across 40 intermediate grade CaP patients and evaluated the ability of CGT features to predict biochemical recurrence (BCR) within 5 years of radical prostatectomy. Intermediate Gleason score 7 cancers represent the predictive borderline for BCR cases, where 50% of cases develop BCR. We found that CGT features outperformed 5 different sets of QH features, previously shown to be effective in CaP grading, when evaluated via a Random Forest classifier (66% accuracy for CGT features versus 55% for the next closest QH feature set), all comparisons being statistically significant.","PeriodicalId":178011,"journal":{"name":"2013 IEEE 10th International Symposium on Biomedical Imaging","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127447313","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: 8

Hippocampus segmentation through gradient based reliability maps for local blending of ACM energy terms 通过基于梯度的可靠性图进行海马分割，用于ACM能量项的局部混合

2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-04-07 DOI: 10.1109/ISBI.2013.6556410

D. Zarpalas, P. Gkontra, P. Daras, N. Maglaveras

引用次数: 10

Combining magnetic resonance late gadolinium enhanced and Look-Locker sequences for myocardial scar characterization 结合磁共振晚期钆增强和Look-Locker序列对心肌疤痕的表征

2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-04-07 DOI: 10.1109/ISBI.2013.6556479

Q. Tao, M. V. D. Giessen, Sebastiaan R. Piers, K. Zeppenfeld, R. Geest

引用次数: 0

Classification of colorectal polyp regions in optical projection tomography 光学投影体层摄影对结直肠息肉区域的分类

2013 IEEE 10th International Symposium on Biomedical Imaging Pub Date : 2013-04-07 DOI: 10.1109/ISBI.2013.6556580

Wenqi Li, Jianguo Zhang, S. McKenna, M. Coats, F. Carey

引用次数: 9