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Medical imaging 2011: biomedical applications in molecular, structural, and functional imaging

Medical Imaging 2011: Biomedical Applications in Molecular, ...

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Medical imaging 2011: biomedical applications in molecular, structural, and functional imaging

ISBN: (纸本)9780819485076

The proceedings contain 90 papers. The topics discussed include: a methodology for dynamic functional connectivity;effective connectivity of neural pathways underlying disgust by multivariate granger causality analysis;the neural correlates of face processing and Chinese character processing in children;learn the effective connectivity pattern of attention networks: a resting functional MRI and Bayesian network study;automatic localization of bifurcations and vessel crossings in digital fundus photographs using location regression;normal and keratoconic corneal epithelial thickness mapping using Fourier-domain optical coherence tomography;deconvolution of dynamic dual photon microscopy images of cerebral microvasculature to assess the hemodynamic status of the brain;three-dimensional multi bioluminescent sources reconstruction based on adaptive finite element method;and in vivo heterogeneous tomographic bioluminescence imaging via a higher-order approximation forward model.

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Graph Convolution Based Residual Connected Network for Morphological Reconstruction in Fluorescence molecular Tomography

Graph Convolution Based Residual Connected Network for Morph...

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conference on Medical imaging - biomedical applications in molecular, structural, and functional imaging

作者： Wang, Yu Bian, Chang An, Yu Wang, Hanfan Liang, Qian Du, Yang Tian, Jie Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst CAS Key Lab Mol Imaging Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China Beihang Univ Sch Med Beijing Adv Innovat Ctr Big Data Based Precis Med Beijing 100191 Peoples R China Xidian Univ Sch Life Sci & Technol Engn Res Ctr Mol & Neuro Imaging Minist Educ Xian 710126 Shaanxi Peoples R China

ISBN: (数字)9781510649484

ISBN: (纸本)9781510649484;9781510649477

Fluorescence molecular tomography (FMT) is a promising multimodality-fused medical imaging technique, aiming at noninvasively and dynamically visualizing the interaction processes at the cellular and molecular level. However, the quality of FMT reconstruction is limited by the simplified linear model of photon propagation. In this work, we propose a novel GCN based Residual connected (GCN-RC) network to improve the quality of FMT morphological reconstruction. Instead of using a simplified linear model of photon propagation for FMT recon-struction, the method can directly construct a nonlinear mapping relationship between the photon density of an object surface and its internal fluorescent source. GCN-RC network consists of a fully connected(FC) sub-network and a GCN sub-network connected by means of residual connection. The FC sub-network provides a coarse reconstruction result and GCN sub-network fine-tunes the morphological quality of reconstructed result. In order to validate the reconstruction performance of GCN-RC, we performed numerical simulation experiments and in vivo experiments based on tumor-bearing mice. Comparisons were performed with the L2-based Tikhonov method (Tikhonov-L2), inverse problem simulation (IPS) method and GCN- RC method. Both numerical simulated and in vivo experimental results demonstrated that GCN-RC achieved improved reconstruction in terms of both source localization and morphology recovery.

关键词： fluorescence molecular tomography Graph convolution network inverse problem

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Improved Characterization of molecular Phenotypes in Breast Lesions using ¹⁸F-FDG PET Image Homogeneity

Improved Characterization of Molecular Phenotypes in Breast ...

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conference on Medical imaging - biomedical applications in molecular, structural, and functional imaging

作者： Cao, Kunlin Bhagalia, Roshni Sood, Anup Brogi, Edi Mellinghoff, Ingo K. Larson, Steven M. GE Global Res Ctr Niskayuna NY 12309 USA Mem Sloan Kettering Canc Ctr New York NY 10065 USA

ISBN: (纸本)9781628415070

Positron emission tomography (PET) using fluorodeoxyglucose (F-18-FDG) is commonly used in the assessment of breast lesions by computing voxel-wise standardized uptake value (SUV) maps. Simple metrics derived from ensemble properties of SUVs within each identified breast lesion are routinely used for disease diagnosis. The maximum SUV within the lesion (SUVmax) is the most popular of these metrics. However these simple metrics are known to be error-prone and are susceptible to image noise. Finding reliable SUV map-based features that correlate to established molecular phenotypes of breast cancer (viz, estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2) expression) will enable non-invasive disease management. This study investigated 36 SUV features based on first and second order statistics, local histograms and texture of segmented lesions to predict ER and PR expression in 51 breast cancer patients. True ER and PR expression was obtained via immunohistochemistry (IHC) of tissue samples from each lesion. A supervised learning, adaptive boosting-support vector machine (AdaBoost-SVM), framework was used to select a subset of features to classify breast lesions into distinct phenotypes. Performance of the trained multi-feature classifier was compared against the baseline single-feature SUVmax classifier using receiver operating characteristic (ROC) curves. Results show that texture features encoding local lesion homogeneity extracted from gray-level co-occurrence matrices are the strongest discriminator of lesion ER expression. In particular, classifiers including these features increased prediction accuracy from 0.75 (baseline) to 0.82 and the area under the ROC curve from 0.64 (baseline) to 0.75.

关键词： F-18-FDG PET Feature Selection AdaBoost

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Medical imaging 2013: biomedical applications in molecular, structural, and functional imaging

Medical Imaging 2013: Biomedical Applications in Molecular, ...

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Medical imaging 2013: biomedical applications in molecular, structural, and functional imaging

ISBN: (纸本)9780819494467

The proceedings contain 68 papers. The topics discussed include: a multimodal (MRI/ultrasound) cardiac phantom for imaging experiments;quantification of microfluidic dye mixing using front line tracking in curvature scale space;porcine pulmonary artery distension during static pressure inflation;comparison of Cartesian, UTE radial, and spiral phase-contrast MRI in measurement of blood flow in extracranial carotid arteries: normal subjects;quantitative measurement of MR cortical atrophy: MR brain surface intensity model (BSIM) and group and individual cortical thinning studies;statistical texture analysis based MRI quantification of duchenne muscular dystrophy in a canine model;development of a method to image blood flow beneath the skull or tissue using ultrasonic speckle reflections;and introducing anisotropic Minkowski functionals and quantitative anisotropy measures for local structure analysis in biomedical imaging.

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Medical imaging 2020: biomedical applications in molecular, structural, and functional imaging

Medical Imaging 2020: Biomedical Applications in Molecular, ...

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Medical imaging 2020: biomedical applications in molecular, structural, and functional imaging

ISBN: (纸本)9781510634015

The proceedings contain 84 papers. The topics discussed include: a graph deep learning model for the classification of groups with different IQ using resting state fMRI;intraoperative ultrasound to monitor spinal cord blood flow after spinal cord injury;deep learning of volumetric 3D CNN for fMRI in Alzheimer’s disease classification;how to meet the 10 ps coincidence timing resolution PET challenge;co-registration of infarct core location with angiography during mechanical thrombectomy procedures for treatment progression monitoring;exploration of pathology-specific flow patterns utilizing high speed angiography at 1000 fps;quantification of axillary lymphadenopathy from CT images of filovirus infections in non-human primates: sensitivity and evaluation of radiomics-based methods;intensity non-uniformity correction in MR imaging using deep learning;and synthetic CT-aided MRI-CT image registration for head and neck radiotherapy.

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Using tensor-based morphometry to detect structural brain abnormalities in rats with adolescent intermittent alcohol exposure

Using tensor-based morphometry to detect structural brain ab...

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conference on Medical imaging 2011 - biomedical applications in molecular, structural, and functional imaging

作者： Paniagua, Beatriz Ehlers, Cindy Crews, Fulton Budin, Francois Larson, Garett Styner, Martin Oguz, Ipek Univ N Carolina Chapel Hill NC 27599 USA Scripps Res Inst San Diego CA USA

ISBN: (纸本)9780819485076

Understanding the effects of adolescent binge drinking that persist into adulthood is a crucial public health issue. Adolescent intermittent ethanol exposure (AIE) is an animal model that can be used to investigate these effects in rodents. In this work, we investigate the application of a particular image analysis technique, tensor-based morphometry, for detecting anatomical differences between AIE and control rats using Diffusion Tensor imaging (DTI). Deformation field analysis is a popular method for detecting volumetric changes analyzing Jacobian determinants calculated on deformation fields. Recent studies showed that computing deformation field metrics on the full deformation tensor, often referred to as tensor-based morphometry (TBM), increases the sensitivity to anatomical differences. In this paper we conduct a comprehensive TBM study for precisely locating differences between control and AIE rats. Using a DTI RARE sequence designed for minimal geometric distortion, 12-directional images were acquired postmortem for control and AIE rats (n=9). After preprocessing, average images for the two groups were constructed using an unbiased atlas building approach. We non-rigidly register the two atlases using Large Deformation Diffeomorphic Metric Mapping, and analyze the resulting deformation field using TBM. In particular, we evaluate the tensor determinant, geodesic anisotropy, and deformation direction vector (DDV) on the deformation field to detect structural differences. This yields data on the local amount of growth, shrinkage and the directionality of deformation between the groups. We show that TBM can thus be used to measure group morphological differences between rat populations, demonstrating the potential of the proposed framework.

关键词： Tensor-based morphometry Diffusion Tensor imaging Magnetic Resonance imaging small animal imaging rodent adolescent intermittent ethanol exposure atlas building shape analysis

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Medical imaging 2010 - biomedical applications in molecular, structural, and functional imaging

Medical Imaging 2010 - Biomedical Applications in Molecular,...

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Medical imaging 2010 - biomedical applications in molecular, structural, and functional imaging

ISBN: (纸本)9780819480279

The proceedings contain 74 papers. The topics discussed include: strain correction in interleaved strain-encoded (SENC) cardiac MR;multi-modal image registration: matching MRI with histology;evaluation of liver function using gadoxetate disodium (Gd-EOB-DTPA) enhanced MR imaging;the improvement of ICA with projection technique in multitask fMRI data analysis;magnetic resonance imaging for white matter degradation in fornix following mild traumatic brain injury;statistical 3D shape analysis of gender differences in lateral ventricles;mapping gray matter volume and cortical thickness in Alzheimer's disease;a review of multivariate methods in brain imaging data fusion;retrospective analysis of application of compressive sensing to 1H MR metabolic imaging of the human brain;and assessment of contrast flow modification in aneurysms treated with closed-cell self-deploying asymmetric vascular stents (SAVS).

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Fast 3D registration of multimodality tibial images with significant structural mismatch

Fast 3D registration of multimodality tibial images with sig...

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Medical imaging 2009: biomedical applications in molecular, structural, and functional imaging

作者： Rajapakse, C.S. Wald, M.J. Magland, J. Zhang, X.H. Liu, X.S. Guo, X.E. Wehrli, F.W. Laboratory for Structural NMR Imaging Department of Radiology University of Pennsylvania School of Medicine Philadelphia PA United States Bone Bioengineering Laboratory Department of Biomedical Engineering Columbia University New York NY United States

ISBN: (纸本)9780819475138

Recently, micro-magnetic resonance imaging (μMRI) in conjunction with micro-finite element analysis has shown great potential in estimating mechanical properties - stiffness and elastic moduli - of bone in patients at risk of osteoporosis. Due to limited spatial resolution and signal-to-noise ratio achievable in vivo, the validity of estimated properties is often established by comparison to those derived from high- resolution micro-CT (μCT) images of cadaveric specimens. For accurate comparison of mechanical parameters derived from μMR andCT images, analyzed 3D volumes have to be closely matched. The alignment of the micro structure (and the cortex) is often hampered by the fundamental differences of μMR and μCT images and variations in marrow content and cortical bone thickness. Here we present an intensity cross-correlation based registration algorithm coupled with segmentation for registering 3D tibial specimen images acquired by μMRI and μCT in the context of finite-element modeling to assess the bone's mechanical constants. The algorithm first generates three translational and three rotational parameters required to align segmented μMR and μCT images from sub regions with high micro-structural similarities. These transformation parameters are then used to register the grayscaleMR and μCT images, which include both the cortex and trabecular bone. The intensity crosscorrelation maximization based registration algorithm described here is suitable for 3D rigid-body image registration applications where through-plane rotations are known to be relatively small. The close alignment of the resulting images is demonstrated quantitatively based on a voxel-overlap measure and qualitatively using visual inspection of the micro structure. © 2009 spie.

关键词： Bone

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Medical imaging 2014: biomedical applications in molecular, structural, and functional imaging

Medical Imaging 2014: Biomedical Applications in Molecular, ...

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Medical imaging 2014: biomedical applications in molecular, structural, and functional imaging

ISBN: (纸本)9780819498311

The proceedings contain 66 papers. The topics discussed include: longitudinal MR cortical thinning of individuals and its correlation with PET metabolic reduction - a measurement consistency and correctness studies;independent component analysis of DTI data reveals white matter covariances in Alzheimer's disease;incorporation of learned shape priors into a graph-theoretic approach with application to the 3-d segmentation of intraretinal surfaces in SD-OCT volumes of mice;microcystic macular edema detection in retina OCT images;graph-based retrospective 4D image construction from free-breathing MRI slice acquisitions;challenges and limitations of patient-specific vascular phantom fabrication using 3D polyjet printing;and a fully automatic unsupervised segmentation framework for the brain tissues in MR images.

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High spatial resolution x-ray luminescence computed tomography and x-ray fluorescence computed tomography 5

High spatial resolution x-ray luminescence computed tomograp...

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conference on molecular-Guided Surgery - Molecules, Devices, and applications V

作者： Dai, Xianjin Sivasubramanian, Kathyayini Xing, Lei Stanford Univ Sch Med Dept Radiat Oncol Stanford CA 94305 USA

ISBN: (数字)9781510623675

ISBN: (纸本)9781510623668;9781510623675

X-ray luminescence computed tomography (XLCT) and X-ray fluorescence computed tomography (XFCT) are two emerging technologies in X-ray imaging. In these modalities, images are formed through detection of secondary emissions (light in XLCT, or secondary X-rays in XFCT) following X-ray excitations. XLCT and XFCT enable us to leverage the widely used X-ray imaging for simultaneous in vivo molecular and functional imaging. Depending on the geometry of the excitation X-ray beam (pencil-, fan-, and cone-beam or coded apertures), optimal tradeoff between imaging efficiency and spatial resolution can be achieved. The novel imaging principles of XLCT/XFCT make it possible to achieve a spatial resolution comparable to that of anatomical X-ray imaging. Here, we summarize our studies in this area in the past decade and discuss their prospects.

关键词： X-ray luminescence computed tomography X-ray fluorescence computed tomography molecular imaging X-ray imaging biomedical imaging coded aperture deep learning

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