Abstract:
:The current standard of care for glaucoma patients consists of functional assessment of vision via visual field (VF) testing, which is sensitive but subjective, time-consuming, and often unreliable. A new imaging technology, Fourier domain optical coherence tomography (OCT), is being introduced to assess the structural characteristics of the macula. This new complementary exam is efficient, objective, and reliable. A complex, but consistent, relationship exists between the structural information provided by macular OCT and the functional information gathered by VF maps. We propose a learning-based framework with the ability to estimate the VF map based on OCT macular thickness measurements as input (and vice versa). Central to this algorithmic framework is a coupled parametric model that captures not only the individual variabilities of the OCT macular thickness measurements and the VF maps, but also their co-dependencies. This model is derived by applying principal component analysis (PCA) to a library consisting of various pairs of OCT and VF maps. The parameters of this coupled model are obtained by solving a linear least squares problem. Next, these estimated parameters are used, in conjunction with the eigenvectors derived from PCA, to compute the estimate. The accuracy of this coupled parametric estimation model was evaluated by performing multiple leave-one-out cross validation experiments.
journal_name
Med Image Analjournal_title
Medical image analysisauthors
Tsai A,Caprioli J,Shen LQdoi
10.1016/j.media.2011.05.012subject
Has Abstractpub_date
2012-01-01 00:00:00pages
101-13issue
1eissn
1361-8415issn
1361-8423pii
S1361-8415(11)00076-4journal_volume
16pub_type
杂志文章abstract::With the development of deep learning, its application in diagnosis of benign and malignant thyroid nodules has been widely concerned. However, it is difficult to obtain medical images, resulting in insufficient number of data, which contradicts the large amount of data required for acquiring effective deep learning d...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2020.101819
更新日期:2021-01-01 00:00:00
abstract::In this paper, we propose a new strategy for modelling sliding conditions when registering 3D images in a piecewise-diffeomorphic framework. More specifically, our main contribution is the development of a mathematical formalism to perform Large Deformation Diffeomorphic Metric Mapping registration with sliding condit...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2012.10.001
更新日期:2013-02-01 00:00:00
abstract::A multiple hypothesis tracking approach to the segmentation of small 3D vessel structures is presented. By simultaneously tracking multiple hypothetical vessel trajectories, low contrast passages can be traversed, leading to an improved tracking performance in areas of low contrast. This work also contributes a novel ...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2009.12.003
更新日期:2010-04-01 00:00:00
abstract::Registration plays an important role in group analysis of diffusion-weighted imaging (DWI) data. It can be used to build a reference anatomy for investigating structural variation or tracking changes in white matter. Unlike traditional scalar image registration where spatial alignment is the only focus, registration o...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2014.06.012
更新日期:2014-12-01 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::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::After two decades of increasing interest and research activity, computer-assisted diagnostic approaches are reaching the stage where more routine deployment in clinical practice is becoming a possibility [Kruppinski, E.A., 2004. Computer-aided detection in clinical environment: Benefits and challenges for radiologists...
journal_title:Medical image analysis
pub_type: 杂志文章,评审
doi:10.1016/j.media.2005.06.003
更新日期:2006-04-01 00:00:00
abstract::We present an algorithm estimating the width of retinal vessels in fundus camera images. The algorithm uses a novel parametric surface model of the cross-sectional intensities of vessels, and ensembles of bagged decision trees to estimate the local width from the parameters of the best-fit surface. We report comparati...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2013.07.006
更新日期:2013-12-01 00:00:00
abstract::Ultrasonic techniques are presented for the study of soft biological tissue structure and function. Changes in echo waveforms caused by microscopic variations in the mechanical properties of tissue can reveal disease mechanism, in vivo. On a larger scale, elasticity imaging describes the macroscopic mechanical propert...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/s1361-8415(98)80014-5
更新日期:1998-12-01 00:00:00
abstract::Atlas-based methods for automated preoperative planning of the femoral stem implant in total hip arthroplasty are described. Statistical atlases are constructed from a number of past preoperative plans prepared by experienced surgeons in order to represent the surgeon's expertise of the planning. Two types of atlases ...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2011.10.005
更新日期:2012-02-01 00:00:00
abstract::We describe a system for respiratory motion correction of MRI-derived roadmaps for use in X-ray guided cardiac catheterisation procedures. The technique uses a subject-specific affine motion model that is quickly constructed from a short pre-procedure MRI scan. We test a dynamic MRI sequence that acquires a small numb...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2009.01.003
更新日期:2009-06-01 00:00:00
abstract::Diffusion weighted imaging (DWI) is sensitive to alterations in the diffusion of water molecules caused by microstructural barriers. Different microstructural compartments are characterized by differences in DWI signal. Diffusion tensor imaging conflates the signal from these compartments into a single tensor, which p...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2015.10.004
更新日期:2015-12-01 00:00:00
abstract::This paper introduces a model-based approach for a fully automatic delineation of kidney and cortex tissue from contrast-enhanced abdominal CT scans. The proposed framework, named CorteXpert, consists of two new strategies for kidney tissue delineation: cortex model adaptation and non-uniform graph search. CorteXpert ...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2017.06.010
更新日期:2017-12-01 00:00:00
abstract::Human brain alignment based on imaging data has long been an intriguing research topic. One of the challenges is the huge inter-individual variabilities, which are pronounced not only in cortical folding patterns, but also in the underlying structural and functional patterns. Also, it is still not fully understood how...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2020.101700
更新日期:2020-07-01 00:00:00
abstract::The distribution of cortical bone in the proximal femur is believed to be a critical component in determining fracture resistance. Current CT technology is limited in its ability to measure cortical thickness, especially in the sub-millimetre range which lies within the point spread function of today's clinical scanne...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2010.01.003
更新日期:2010-06-01 00:00:00
abstract::Diffusion magnetic resonance imaging (dMRI) offers a unique tool for noninvasively assessing tissue microstructure. However, accurate estimation of tissue microstructure described by complicated signal models can be challenging when a reduced number of diffusion gradients are used. Deep learning based microstructure e...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2019.04.006
更新日期:2019-07-01 00:00:00
abstract::Diabetic Retinopathy (DR) is the most common cause of avoidable vision loss, predominantly affecting the working-age population across the globe. Screening for DR, coupled with timely consultation and treatment, is a globally trusted policy to avoid vision loss. However, implementation of DR screening programs is chal...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2019.101561
更新日期:2020-01-01 00:00:00
abstract::Analyses of the human tongue motion as captured from 2D dynamic ultrasound data often requires segmentation of the mid-sagittal tongue contours. However, semi-automatic extraction of the tongue shape presents practical challenges. We approach this segmentation problem by proposing a novel higher-order Markov random fi...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2012.07.001
更新日期:2012-12-01 00:00:00
abstract::Due to the development of deep learning, an increasing number of research works have been proposed to establish automated analysis systems for 3D volumetric medical data to improve the quality of patient care. However, it is challenging to obtain a large number of annotated 3D medical data needed to train a neural net...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2020.101746
更新日期:2020-08-01 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::The automatic detection of exudates in color eye fundus images is an important task in applications such as diabetic retinopathy screening. The presented work has been undertaken in the framework of the TeleOphta project, whose main objective is to automatically detect normal exams in a tele-ophthalmology network, thu...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2014.05.004
更新日期:2014-10-01 00:00:00
abstract::In this work, various wavelet based methods like the discrete wavelet transform, the dual-tree complex wavelet transform, the Gabor wavelet transform, curvelets, contourlets and shearlets are applied for the automated classification of colonic polyps. The methods are tested on 8 HD-endoscopic image databases, where ea...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2016.02.001
更新日期:2016-07-01 00:00:00
abstract::The accurate localization of anatomical landmarks is a challenging task, often solved by domain specific approaches. We propose a method for the automatic localization of landmarks in complex, repetitive anatomical structures. The key idea is to combine three steps: (1) a classifier for pre-filtering anatomical landma...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2013.02.004
更新日期:2013-12-01 00:00:00
abstract::In this work we propose a comprehensive study of Digital Stent Enhancement (DSE), from the analysis of the requirements to the validation of the proposed solution. First, we derive the stent visualization requirements in the context of the clinical application and workflow. Then, we propose a DSE algorithm combining a...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2011.03.002
更新日期:2011-08-01 00:00:00
abstract::Phase contrast, a noninvasive microscopy imaging technique, is widely used to capture time-lapse images to monitor the behavior of transparent cells without staining or altering them. Due to the optical principle, phase contrast microscopy images contain artifacts such as the halo and shade-off that hinder image segme...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2011.12.006
更新日期:2012-07-01 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::Quantitative magnetic resonance imaging (qMRI) is a technique for estimating quantitative tissue properties, such as the T1 and T2 relaxation times, apparent diffusion coefficient (ADC), and various perfusion measures. This estimation is achieved by acquiring multiple images with different acquisition parameters (or a...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2015.12.004
更新日期:2016-04-01 00:00:00
abstract::In this note we summarize the history of computer aided surgery in orthopaedics and traumatology from the end of the nineteenth century to currently observable future trends. We concentrate on the two major components of such systems, pre-operative planning and intra-operative execution. The evolution of the necessary...
journal_title:Medical image analysis
pub_type: 社论
doi:10.1016/j.media.2016.06.033
更新日期:2016-10-01 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::Creating a feature-preserving average of three dimensional anatomical surfaces extracted from volume image data is a complex task. Unlike individual images, averages present right-left symmetry and smooth surfaces which give insight into typical proportions. Averaging multiple biological surface images requires carefu...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/s1361-8415(00)00031-1
更新日期:2000-12-01 00:00:00