Abstract:
:This article describes a combination of interactive classification and super-sampling visualization algorithms that greatly enhances the realism of 3-D reconstructions of the Visible Human data sets. Objects are classified on the basis of ellipsoidal regions in RGB space. The ellipsoids are used for super-sampling in the visualization process.
journal_name
Med Image Analjournal_title
Medical image analysisauthors
Schiemann T,Tiede U,Höhne KHdoi
10.1016/s1361-8415(97)85001-3subject
Has Abstractpub_date
1997-09-01 00:00:00pages
263-70issue
4eissn
1361-8415issn
1361-8423pii
S1361-8415(97)85001-3journal_volume
1pub_type
杂志文章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::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::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::Accurate automated segmentation and detection of ovarian cancer metastases may improve the diagnosis and prognosis of women with ovarian cancer. In this paper, we focus on an important subset of ovarian cancer metastases that spread to the surface of the liver and spleen. Automated ovarian cancer metastasis detection ...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2014.04.001
更新日期:2014-07-01 00:00:00
abstract::We propose in this article a content-based image retrieval (CBIR) method for diagnosis aid in medical fields. In the proposed system, images are indexed in a generic fashion, without extracting domain-specific features: a signature is built for each image from its wavelet transform. These image signatures characterize...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2009.11.004
更新日期:2010-04-01 00:00:00
abstract::The problem of respiratory motion has proved a serious obstacle in developing techniques to acquire images or guide interventions in abdominal and thoracic organs. Motion models offer a possible solution to these problems, and as a result the field of respiratory motion modelling has become an active one over the past...
journal_title:Medical image analysis
pub_type: 杂志文章,评审
doi:10.1016/j.media.2012.09.005
更新日期:2013-01-01 00:00:00
abstract::In this work, we first propose an original and efficient computational framework to model continuous diffusion MRI (dMRI) signals and analytically recover important diffusion features such as the Ensemble Average Propagator (EAP) and the Orientation Distribution Function (ODF). Then, we develop an efficient parametric...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2013.04.011
更新日期:2013-10-01 00:00:00
abstract::In order to improve the accuracy of image-guided neurosurgery, different biomechanical models have been developed to correct preoperative images with respect to intraoperative changes like brain shift or tumor resection. All existing biomechanical models simulate different anatomical structures by using either appropr...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/s1361-8415(02)00059-2
更新日期:2002-12-01 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::Knowledge of whole heart anatomy is a prerequisite for many clinical applications. Whole heart segmentation (WHS), which delineates substructures of the heart, can be very valuable for modeling and analysis of the anatomy and functions of the heart. However, automating this segmentation can be challenging due to the l...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2019.101537
更新日期:2019-12-01 00:00:00
abstract::Intervention planning is essential for successful Mitral Valve (MV) repair procedures. Finite-element models (FEM) of the MV could be used to achieve this goal, but the translation to the clinical domain is challenging. Many input parameters for the FEM models, such as tissue properties, are not known. In addition, on...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2016.03.011
更新日期:2017-01-01 00:00:00
abstract::We describe a new algorithm for non-rigid registration capable of estimating a constrained dense displacement field from multi-modal image data. We applied this algorithm to capture non-rigid deformation between digital images of histological slides and digital flat-bed scanned images of cryotomed sections of the lary...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2005.04.003
更新日期:2005-12-01 00:00:00
abstract::We evaluate the accuracy of whole-body bone extraction from whole-body MR images using a number of atlas-based segmentation methods. The motivation behind this work is to find the most promising approach for the purpose of MRI-guided derivation of PET attenuation maps in whole-body PET/MRI. To this end, a variety of a...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2016.11.003
更新日期:2017-02-01 00:00:00
abstract::We describe a new magnetic resonance (MR) image analysis tool that produces cortical surface representations with spherical topology from MR images of the human brain. The tool provides a sequence of low-level operations in a single package that can produce accurate brain segmentations in clinical time. The tools incl...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/s1361-8415(02)00054-3
更新日期:2002-06-01 00:00:00
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 feature...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/s1361-8415(03)00004-5
更新日期:2003-06-01 00:00:00
abstract::Both resting state fMRI (R-fMRI) and task-based fMRI (T-fMRI) have been widely used to study the functional activities of the human brain during task-free and task-performance periods, respectively. However, due to the difficulty in strictly controlling the participating subject's mental status and their cognitive beh...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2013.07.003
更新日期:2013-12-01 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::Typically, a medical image offers spatial information on the anatomy (and pathology) modulated by imaging specific characteristics. Many imaging modalities including Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) can be interpreted in this way. We can venture further and consider that a medical image na...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2019.101535
更新日期:2019-12-01 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::A stochastic finite element framework is presented for the simultaneous estimation of the cardiac kinematic functions and material model parameters from periodic medical image sequences. While existing biomechanics studies of the myocardial material constitutive laws have assumed known tissue kinematic measurements, a...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/s1361-8415(03)00066-5
更新日期:2003-12-01 00:00:00
abstract::Fast and accurate 2D/3D registration plays an important role in many applications, ranging from scientific and engineering domains all the way to medical care. Today's predominant methods are based on computationally expensive approaches, such as virtual forward or back projections, that limit the real-time applicabil...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2020.101815
更新日期:2021-01-01 00:00:00
abstract::We present hierarchical spherical deformation for a group-wise shape correspondence to address template selection bias and to minimize registration distortion. In this work, we aim at a continuous and smooth deformation field to guide accurate cortical surface registration. In conventional spherical registration metho...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2019.06.013
更新日期:2019-10-01 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
abstract::High-dimensional pathological images produced by Immunohistochemistry (IHC) methods consist of many pathological indexes, which play critical roles in cancer treatment planning. However, these indexes currently cannot be utilized in survival prediction because joining them with patients' clinicopathological features (...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2020.101640
更新日期:2020-05-01 00:00:00
abstract::Accurate segmentation of the prostate and organs at risk (e.g., bladder and rectum) in CT images is a crucial step for radiation therapy in the treatment of prostate cancer. However, it is a very challenging task due to unclear boundaries, large intra- and inter-patient shape variability, and uncertain existence of bo...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2019.03.003
更新日期:2019-05-01 00:00:00
abstract::Three dimensional Polarized Light Imaging (3D-PLI) is an optical technique which allows mapping the spatial fiber architecture of fibrous postmortem tissues, at sub-millimeter resolutions. Here, we propose an analytical and fast approach to compute the fiber orientation distribution (FOD) from high-resolution vector d...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2020.101760
更新日期:2020-10-01 00:00:00
abstract::For many orthopaedic, neurological, and oncological applications, an exact segmentation of the vertebral column including an identification of each vertebra is essential. However, although bony structures show high contrast in CT images, the segmentation and labelling of individual vertebrae is challenging. In this pa...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2009.02.004
更新日期:2009-06-01 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::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::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