Abstract：
:Traditionally, segmentation and registration have been solved as two independent problems, even though it is often the case that the solution to one impacts the solution to the other. In this paper, we introduce a geometric, variational framework that uses active contours to simultaneously segment and register features from multiple images. The key observation is that multiple images may be segmented by evolving a single contour as well as the mappings of that contour into each image.
journal_name
Med Image Analjournal_title
Medical image analysisauthors
Yezzi A,Zöllei L,Kapur Tdoi
10.1016/s1361-8415(03)00004-5subject
Has Abstractpub_date
2003-06-01 00:00:00pages
171-85issue
2eissn
1361-8415issn
1361-8423pii
S1361-8415(03)00004-5journal_volume
7pub_type
杂志文章abstract：:Segmentation of abdominal organs has been a comprehensive, yet unresolved, research field for many years. In the last decade, intensive developments in deep learning (DL) introduced new state-of-the-art segmentation systems. Despite outperforming the overall accuracy of existing systems, the effects of DL model proper...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2020.101950
更新日期：2020-12-25 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：: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：:Clinical acceptance of 3-D OCT retinal imaging brought rapid development of quantitative 3-D analysis of retinal layers, vasculature, retinal lesions as well as facilitated new research in retinal diseases. One of the cornerstones of many such analyses is segmentation and thickness quantification of retinal layers and...
journal_title：Medical image analysis
pub_type： 社论
doi：10.1016/j.media.2016.06.001
更新日期：2016-10-01 00:00:00
abstract：:Mutual information (MI) has been widely used as a similarity measure for rigid registration of multi-modal and uni-modal medical images. However, robust application of MI to deformable registration is challenging mainly because rich structural information, which are critical cues for successful deformable registration...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2013.12.003
更新日期：2014-02-01 00:00:00
abstract：:Classification of digital pathology images is imperative in cancer diagnosis and prognosis. Recent advancements in deep learning and computer vision have greatly benefited the pathology workflow by developing automated solutions for classification tasks. However, the cost and time for acquiring high quality task-speci...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2020.101859
更新日期：2021-01-01 00:00:00
abstract：:The spinal column is one of the most distinguishable structures in CT scans of the superior part of the human body. It is not necessary to segment the spinal column in order to use it as a frame of reference. It is sufficient to place landmarks and the appropriate anatomical labels at intervertebral disks and vertebra...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2013.07.005
更新日期：2013-12-01 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
abstract：:We performed a systematic review of studies focusing on the automatic prediction of the progression of mild cognitive impairment to Alzheimer's disease (AD) dementia, and a quantitative analysis of the methodological choices impacting performance. This review included 172 articles, from which 234 experiments were extr...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2020.101848
更新日期：2021-01-01 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：: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 unk...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2010.06.009
更新日期：2011-02-01 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：: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：:We propose a novel Riemannian framework for statistical analysis of shapes that is able to account for the nonlinearity in shape variation. By adopting a physical perspective, we introduce a differential representation that puts the local geometric variability into focus. We model these differential coordinates as ele...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2017.09.004
更新日期：2018-01-01 00:00:00
abstract：:The Insight Toolkit (ITK) initiative from the National Library of Medicine has provided a suite of state-of-the-art segmentation and registration algorithms ideally suited to volume visualization and analysis. A volume visualization application that effectively utilizes these algorithms provides many benefits: it allo...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2005.04.009
更新日期：2005-12-01 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：:In prostate cancer radiotherapy, computed tomography (CT) is widely used for dose planning purposes. However, because CT has low soft tissue contrast, it makes manual contouring difficult for major pelvic organs. In contrast, magnetic resonance imaging (MRI) provides high soft tissue contrast, which makes it ideal for...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2017.05.004
更新日期：2017-10-01 00:00:00
abstract：:A deformable registration method is described that enables automatic alignment of magnetic resonance (MR) and 3D transrectal ultrasound (TRUS) images of the prostate gland. The method employs a novel "model-to-image" registration approach in which a deformable model of the gland surface, derived from an MR image, is r...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2010.11.003
更新日期：2012-04-01 00:00:00
abstract：:Automated delineation of anatomical structures in chest radiographs is difficult due to superimposition of multiple structures. In this work an automated technique to segment the clavicles in posterior-anterior chest radiographs is presented in which three methods are combined. Pixel classification is applied in two s...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2012.06.009
更新日期：2012-12-01 00:00:00
abstract：:The incorporation of intensity, spatial, and topological information into large-scale multi-region segmentation has been a topic of ongoing research in medical image analysis. Multi-region segmentation problems, such as segmentation of brain structures, pose unique challenges in image segmentation in which regions may...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2015.05.005
更新日期：2016-01-01 00:00:00
abstract：:In this paper, we exploit the ability of Compressed Sensing (CS) to recover the whole 3D Diffusion MRI (dMRI) signal from a limited number of samples while efficiently recovering important diffusion features such as the Ensemble Average Propagator (EAP) and the Orientation Distribution Function (ODF). Some attempts to...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2013.02.010
更新日期：2013-07-01 00:00:00
abstract：:An automatic detection method for 197 anatomically defined landmarks in computed tomography (CT) volumes is presented. The proposed method can handle missed landmarks caused by detection failure, a limited imaging range and other problems using a novel combinatorial optimization framework with a two-stage sampling alg...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2016.04.001
更新日期：2017-01-01 00:00:00
abstract：:Although there are many algorithms available in the literature aimed at segmentation and model reconstruction of 3D angiographic images, many are focused on characterizing only a part of the vascular network. This study is motivated by the recent emerging prospects of whole-organ simulations in coronary hemodynamics, ...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2007.06.012
更新日期：2007-12-01 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：:Fundus camera imaging of the retina is widely used to diagnose and manage ophthalmologic disorders including diabetic retinopathy, glaucoma, and age-related macular degeneration. Retinal images typically have a limited field of view, and multiple images can be joined together using an image registration technique to f...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2010.04.001
更新日期：2010-08-01 00:00:00
abstract：:An automated vendor-independent system for dose monitoring in computed tomography (CT) medical examinations involving ionizing radiation is presented in this paper. The system provides precise size-specific dose estimates (SSDE) following the American Association of Physicists in Medicine regulations. Our dose managem...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2020.101898
更新日期：2021-02-01 00:00:00
abstract：:Biophysical models of the atrium provide a physically constrained framework for describing the current state of an atrium and allow predictions of how that atrium will respond to therapy. We propose a work flow to simulate patient specific electrophysiological heterogeneity from clinical data and validate the resultin...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2018.04.005
更新日期：2018-07-01 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：:During embryogenesis, a mammalian heart develops from a simple tubular shape into a complex 4-chamber organ, going through four distinct phases: early primitive tubular heart, emergence of trabeculations, trabecular remodeling and development of the compact myocardium. In this paper we propose a framework for standard...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2018.08.001
更新日期：2018-10-01 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
