Abstract:
:Independent component analysis (ICA) is a statistical technique that estimates a set of sources mixed by an unknown mixing matrix using only a set of observations. For this purpose, the only assumption is that the sources are statistically independent. In many applications, some information about the nature of the unknown signals is available. In this paper we show a method for incorporating prior information about the mixing matrix to increase the levels of detection of responses to visual stimuli. Experimentally, our method matches the performance of known ICA algorithms for high SNR and can greatly improve the performance for low levels of SNR or low levels of signal-to-background ratio (SBR). For the problem of signal extraction, we have achieved detection for signals as small as 0.01% (-40 dB SBR) in hybrid live/synthetic data simulations. In experiments using a functional imager of the retina, measured changes in reflectance in response to visual stimulus are in the order of 0.1-1% of the total pixel intensity value, which makes the functional signal difficult to detect by standard methods. The results of the analysis show that using ICA-P signal levels of 0.1% can be detected. The approach also generalizes the standard Infomax algorithm which can be thought of as a special case of ICA-P when the confidence parameter or a tolerance value is zero. For in vivo animal experiments, we show that signal detection agreement over a range of confidence values parameters can be used to establish reflectance changes in response to the visual stimulus.
journal_name
Med Image Analjournal_title
Medical image analysisauthors
Barriga ES,Pattichis M,Ts'o D,Abramoff M,Kardon R,Kwon Y,Soliz Pdoi
10.1016/j.media.2010.06.009subject
Has Abstractpub_date
2011-02-01 00:00:00pages
35-44issue
1eissn
1361-8415issn
1361-8423pii
S1361-8415(10)00072-1journal_volume
15pub_type
杂志文章abstract::During neurosurgical procedures the objective of the neurosurgeon is to achieve the resection of as much diseased tissue as possible while achieving the preservation of healthy brain tissue. The restricted capacity of the conventional operating room to enable the surgeon to visualize critical healthy brain structures ...
journal_title:Medical image analysis
pub_type: 杂志文章,评审
doi:10.1016/j.media.2004.11.005
更新日期:2005-04-01 00:00:00
abstract::In minimally invasive surgery, deployment of motion compensation, dynamic active constraints and adaptive intra-operative guidance require accurate estimation of deforming tissue in 3D. To this end, the use of vision-based techniques is advantageous in that it does not require the integration of additional hardware to...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2011.02.010
更新日期:2012-04-01 00:00:00
abstract::This paper describes a method for building efficient representations of large sets of brain images. Our hypothesis is that the space spanned by a set of brain images can be captured, to a close approximation, by a low-dimensional, nonlinear manifold. This paper presents a method to learn such a low-dimensional manifol...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2010.05.008
更新日期:2010-10-01 00:00:00
abstract::Real-time cardiac MRI appears as a promising technique to evaluate the mechanical function of the heart. However, ultra-fast MRI acquisitions come with an important signal-to-noise ratio (SNR) penalty, which drastically reduces the image quality. Hence, a real-time denoising approach would be desirable for SNR amelior...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2009.05.006
更新日期:2009-08-01 00:00:00
abstract::Cortical thickness estimation in magnetic resonance imaging (MRI) is an important technique for research on brain development and neurodegenerative diseases. This paper presents a heat kernel based cortical thickness estimation algorithm, which is driven by the graph spectrum and the heat kernel theory, to capture the...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2015.01.005
更新日期:2015-05-01 00:00:00
abstract::In this paper, we present a generative Bayesian approach for estimating the low-dimensional latent space of diffeomorphic shape variability in a population of images. We develop a latent variable model for principal geodesic analysis (PGA) that provides a probabilistic framework for factor analysis in the space of dif...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2015.04.009
更新日期:2015-10-01 00:00:00
abstract::The ability to predict patient-specific soft tissue deformations is key for computer-integrated surgery systems and the core enabling technology for a new era of personalized medicine. Element-Free Galerkin (EFG) methods are better suited for solving soft tissue deformation problems than the finite element method (FEM...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2019.06.004
更新日期:2019-08-01 00:00:00
abstract::Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive impairment of memory and other cognitive functions. Currently, many multi-task learning approaches have been proposed to predict the disease progression at the early stage using longitudinal data, with each task corresponding to a pa...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2019.01.007
更新日期:2019-04-01 00:00:00
abstract::Pixelwise segmentation of the left ventricular (LV) myocardium and the four cardiac chambers in 2-D steady state free precession (SSFP) cine sequences is an essential preprocessing step for a wide range of analyses. Variability in contrast, appearance, orientation, and placement of the heart between patients, clinical...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2018.05.008
更新日期:2018-08-01 00:00:00
abstract::A new method is proposed to quantify the myocardial motion from both 2D C(ine)-MRI and T(agged)-MRI sequences. The tag pattern offers natural landmarks within the image that makes it possible to accurately quantify the motion within the myocardial wall. Therefore, several methods have been proposed for T-MRI. However,...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2019.06.016
更新日期:2019-10-01 00:00:00
abstract::It has previously been demonstrated that freehand 3D ultrasound can be acquired without a position sensor by measuring the elevational speckle decorrelation from frame to frame. However, this requires that the B-scans contain significant amounts of fully developed speckle. In this paper, we show that this condition is...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2005.08.001
更新日期:2006-04-01 00:00:00
abstract::Magnetic resonance imaging is a popular and powerful non-invasive imaging technique. Automated analysis has become mandatory to efficiently cope with the large amount of data generated using this modality. However, several artifacts, such as intensity non-uniformity, can degrade the quality of acquired data. Intensity...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2005.09.004
更新日期:2006-04-01 00:00:00
abstract::Recent progress in cardiac catheterization and devices has allowed the development of new therapies for severe cardiac diseases like arrhythmias and heart failure. The skills required for such interventions are very challenging to learn, and are typically acquired over several years. Virtual reality simulators may red...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2016.06.040
更新日期:2017-01-01 00:00:00
abstract::Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is increasingly being used for the detection and diagnosis of breast cancer. Compared to mammography, DCE-MRI provides higher sensitivity, however its specificity is variable. Moreover, DCE-MRI data analysis is time consuming and depends on reader expertis...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2014.12.001
更新日期:2015-02-01 00:00:00
abstract::Percutaneous coronary intervention is a minimally invasive procedure that is usually performed under image guidance using X-ray angiograms in which coronary arteries are opacified with contrast agent. In X-ray images, 3D objects are projected on a 2D plane, generating semi-transparent layers that overlap each other. T...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2017.04.011
更新日期:2017-07-01 00:00:00
abstract::A probabilistic framework for registering generalised point sets comprising multiple voxel-wise data features such as positions, orientations and scalar-valued quantities, is proposed. It is employed for the analysis of magnetic resonance diffusion tensor image (DTI)-derived quantities, such as fractional anisotropy (...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2019.01.001
更新日期:2019-04-01 00:00:00
abstract::We have developed a new technique for extracting histological parameters from multi-spectral images of the ocular fundus. The new method uses a Monte Carlo simulation of the reflectance of the fundus to model how the spectral reflectance of the tissue varies with differing tissue histology. The model is parameterised ...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2006.05.007
更新日期:2006-08-01 00:00:00
abstract::Current neuroimaging investigation of the white matter typically focuses on measurements derived from diffusion tensor imaging, such as fractional anisotropy (FA). In contrast, imaging studies of the gray matter oftentimes focus on morphological features such as cortical thickness, folding and surface curvature. As a ...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2014.06.013
更新日期:2014-12-01 00:00:00
abstract::In this paper an automatic atlas-based segmentation algorithm for 4D cardiac MR images is proposed. The algorithm is based on the 4D extension of the expectation maximisation (EM) algorithm. The EM algorithm uses a 4D probabilistic cardiac atlas to estimate the initial model parameters and to integrate a priori inform...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2004.06.005
更新日期:2004-09-01 00:00:00
abstract::We introduce a new approach to medical image analysis that combines deformable model methodologies with concepts from the field of artificial life. In particular, we propose "deformable organisms", autonomous agents whose task is the automatic segmentation, labeling, and quantitative analysis of anatomical structures ...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/s1361-8415(02)00083-x
更新日期:2002-09-01 00:00:00
abstract::Examinations of the spinal column with both, Magnetic Resonance (MR) imaging and Computed Tomography (CT), often require a precise three-dimensional positioning, angulation and labeling of the spinal disks and the vertebrae. A fully automatic and robust approach is a prerequisite for an automated scan alignment as wel...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2012.09.007
更新日期:2013-12-01 00:00:00
abstract::The spinal cord is an essential and vulnerable component of the central nervous system. Differentiating and localizing the spinal cord internal structure (i.e., gray matter vs. white matter) is critical for assessment of therapeutic impacts and determining prognosis of relevant conditions. Fortunately, new magnetic re...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2014.01.003
更新日期:2014-04-01 00:00:00
abstract::Retinal images are routinely acquired and assessed to provide diagnostic evidence for many important diseases, e.g. diabetes or hypertension. Because of the acquisition process, very often these images are non-uniformly illuminated and exhibit local luminosity and contrast variability. This problem may seriously affec...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2004.07.001
更新日期:2005-06-01 00:00:00
abstract::The goal of this study is to provide a theoretical framework for accurately optimizing the segmentation energy considering all of the possible shapes generated from the level-set-based statistical shape model (SSM). The proposed algorithm solves the well-known open problem, in which a shape prior may not be optimal in...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2015.11.003
更新日期:2016-02-01 00:00:00
abstract::Robust and fast detection of anatomical structures represents an important component of medical image analysis technologies. Current solutions for anatomy detection are based on machine learning, and are generally driven by suboptimal and exhaustive search strategies. In particular, these techniques do not effectively...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2018.06.007
更新日期:2018-08-01 00:00:00
abstract::Synthesized medical images have several important applications. For instance, they can be used as an intermedium in cross-modality image registration or used as augmented training samples to boost the generalization capability of a classifier. In this work, we propose a generic cross-modality synthesis approach with t...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2018.12.002
更新日期:2019-02-01 00:00:00
abstract::This paper presents a new approach for multimodal medical image registration and compares it to normalized mutual information (NMI) and the correlation ratio (CR). Like NMI and CR, the new method's measure of registration quality is based on the distribution of points in the joint intensity scatter plot (JISP); compac...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2007.12.002
更新日期:2008-08-01 00:00:00
abstract::Many cardiac pathologies are reflected in abnormal myocardial deformation, accessible through magnetic resonance tagging (MRT). Interpretation of the MRT data is difficult, since the relation between pathology and deformation is not straightforward. Mathematical models of cardiac mechanics could be used to translate m...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2006.04.001
更新日期:2006-08-01 00:00:00
abstract::Accurate ventricular volume measurements are the primary indicators of normal/abnor- mal cardiac function and are dependent on the Cardiac Magnetic Resonance (CMR) volumes being complete. However, missing or unusable slices owing to the presence of image artefacts such as respiratory or motion ghosting, aliasing, ring...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2020.101812
更新日期:2021-01-01 00:00:00
abstract::Prostate brachytherapy is a treatment for prostate cancer using radioactive seeds that are permanently implanted in the prostate. The treatment success depends on adequate coverage of the target gland with a therapeutic dose, while sparing the surrounding tissue. Since seed implantation is performed under transrectal ...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2012.06.001
更新日期:2012-10-01 00:00:00