Segmentation of the visible human for high-quality volume-based visualization.

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 Anal

journal_title

Medical image analysis

authors

Schiemann T,Tiede U,Höhne KH

doi

10.1016/s1361-8415(97)85001-3

subject

Has Abstract

pub_date

1997-09-01 00:00:00

pages

263-70

issue

4

eissn

1361-8415

issn

1361-8423

pii

S1361-8415(97)85001-3

journal_volume

1

pub_type

杂志文章
  • Directional wavelet based features for colonic polyp classification.

    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

    authors: Wimmer G,Tamaki T,Tischendorf JJ,Häfner M,Yoshida S,Tanaka S,Uhl A

    更新日期:2016-07-01 00:00:00

  • Rubik's Cube+: A self-supervised feature learning framework for 3D medical image analysis.

    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

    authors: Zhu J,Li Y,Hu Y,Ma K,Zhou SK,Zheng Y

    更新日期:2020-08-01 00:00:00

  • Tongue contour tracking in dynamic ultrasound via higher-order MRFs and efficient fusion moves.

    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

    authors: Tang L,Bressmann T,Hamarneh G

    更新日期:2012-12-01 00:00:00

  • Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT.

    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

    authors: Liu J,Wang S,Linguraru MG,Yao J,Summers RM

    更新日期:2014-07-01 00:00:00

  • Wavelet optimization for content-based image retrieval in medical databases.

    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

    authors: Quellec G,Lamard M,Cazuguel G,Cochener B,Roux C

    更新日期:2010-04-01 00:00:00

  • Respiratory motion models: a review.

    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

    authors: McClelland JR,Hawkes DJ,Schaeffter T,King AP

    更新日期:2013-01-01 00:00:00

  • A computational diffusion MRI and parametric dictionary learning framework for modeling the diffusion signal and its features.

    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

    authors: Merlet S,Caruyer E,Ghosh A,Deriche R

    更新日期:2013-10-01 00:00:00

  • Coupling of fluid and elastic models for biomechanical simulations of brain deformations using FEM.

    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

    authors: Hagemann A,Rohr K,Stiehl HS

    更新日期:2002-12-01 00:00:00

  • Ultrasonic and elasticity imaging to model disease-induced changes in soft-tissue structure.

    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

    authors: Chaturvedi P,Insana MF,Hall TJ

    更新日期:1998-12-01 00:00:00

  • Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge.

    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

    authors: Zhuang X,Li L,Payer C,Štern D,Urschler M,Heinrich MP,Oster J,Wang C,Smedby Ö,Bian C,Yang X,Heng PA,Mortazi A,Bagci U,Yang G,Sun C,Galisot G,Ramel JY,Brouard T,Tong Q,Si W,Liao X,Zeng G,Shi Z,Zheng G,Wang

    更新日期:2019-12-01 00:00:00

  • Personalized mitral valve closure computation and uncertainty analysis from 3D echocardiography.

    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

    authors: Grbic S,Easley TF,Mansi T,Bloodworth CH,Pierce EL,Voigt I,Neumann D,Krebs J,Yuh DD,Jensen MO,Comaniciu D,Yoganathan AP

    更新日期:2017-01-01 00:00:00

  • Efficient multi-modal dense field non-rigid registration: alignment of histological and section images.

    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

    authors: du Bois d'Aische A,Craene MD,Geets X,Gregoire V,Macq B,Warfield SK

    更新日期:2005-12-01 00:00:00

  • Comparison of atlas-based techniques for whole-body bone segmentation.

    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

    authors: Arabi H,Zaidi H

    更新日期:2017-02-01 00:00:00

  • BrainSuite: an automated cortical surface identification tool.

    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

    authors: Shattuck DW,Leahy RM

    更新日期:2002-06-01 00:00:00

  • A variational framework for integrating segmentation and registration through active contours.

    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

    authors: Yezzi A,Zöllei L,Kapur T

    更新日期:2003-06-01 00:00:00

  • Characterization of task-free and task-performance brain states via functional connectome patterns.

    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

    authors: Zhang X,Guo L,Li X,Zhang T,Zhu D,Li K,Chen H,Lv J,Jin C,Zhao Q,Li L,Liu T

    更新日期:2013-12-01 00:00:00

  • Automatic segmentation of 3D micro-CT coronary vascular images.

    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

    authors: Lee J,Beighley P,Ritman E,Smith N

    更新日期:2007-12-01 00:00:00

  • Disentangled representation learning in cardiac image analysis.

    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

    authors: Chartsias A,Joyce T,Papanastasiou G,Semple S,Williams M,Newby DE,Dharmakumar R,Tsaftaris SA

    更新日期:2019-12-01 00:00:00

  • Continuous diffusion signal, EAP and ODF estimation via Compressive Sensing in diffusion MRI.

    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

    authors: Merlet SL,Deriche R

    更新日期:2013-07-01 00:00:00

  • Stochastic finite element framework for simultaneous estimation of cardiac kinematic functions and material parameters.

    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

    authors: Shi P,Liu H

    更新日期:2003-12-01 00:00:00

  • A novel approach to 2D/3D registration of X-ray images using Grangeat's relation.

    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

    authors: Frysch R,Pfeiffer T,Rose G

    更新日期:2021-01-01 00:00:00

  • Hierarchical spherical deformation for cortical surface registration.

    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

    authors: Lyu I,Kang H,Woodward ND,Styner MA,Landman BA

    更新日期:2019-10-01 00:00:00

  • Ω-Net (Omega-Net): Fully automatic, multi-view cardiac MR detection, orientation, and segmentation with deep neural networks.

    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

    authors: Vigneault DM,Xie W,Ho CY,Bluemke DA,Noble JA

    更新日期:2018-08-01 00:00:00

  • SDAE-GAN: Enable high-dimensional pathological images in liver cancer survival prediction with a policy gradient based data augmentation method.

    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

    authors: Wu H,Gao R,Sheng YP,Chen B,Li S

    更新日期:2020-05-01 00:00:00

  • CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation.

    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

    authors: Wang S,He K,Nie D,Zhou S,Gao Y,Shen D

    更新日期:2019-05-01 00:00:00

  • Analytical and fast Fiber Orientation Distribution reconstruction in 3D-Polarized Light Imaging.

    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

    authors: Alimi A,Deslauriers-Gauthier S,Matuschke F,Müller A,Muenzing SEA,Axer M,Deriche R

    更新日期:2020-10-01 00:00:00

  • Automated model-based vertebra detection, identification, and segmentation in CT images.

    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

    authors: Klinder T,Ostermann J,Ehm M,Franz A,Kneser R,Lorenz C

    更新日期:2009-06-01 00:00:00

  • A deep network for tissue microstructure estimation using modified LSTM units.

    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

    authors: Ye C,Li X,Chen J

    更新日期:2019-07-01 00:00:00

  • Joint optimization of segmentation and shape prior from level-set-based statistical shape model, and its application to the automated segmentation of abdominal organs.

    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

    authors: Saito A,Nawano S,Shimizu A

    更新日期:2016-02-01 00:00:00

  • Clavicle segmentation in chest radiographs.

    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

    authors: Hogeweg L,Sánchez CI,de Jong PA,Maduskar P,van Ginneken B

    更新日期:2012-12-01 00:00:00