听力与言语-语言病理学

行为科学

医学伦理学

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  • Confhusius: a robust and fully automatic calibration method for 3D freehand ultrasound.

    abstract::This paper describes a new robust and fully automatic method for calibration of three-dimensional (3D) freehand ultrasound called Confhusius (CalibratiON for FreeHand UltraSound Imaging USage). 3D Freehand ultrasound consists in mounting a position sensor on a standard probe. The echographic B-scans can be localized i...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2004.06.021

    authors: Rousseau F,Hellier P,Barillot C

    更新日期:2005-02-01 00:00:00

  • Segmentation of 4D cardiac MR images using a probabilistic atlas and the EM algorithm.

    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

    authors: Lorenzo-Valdés M,Sanchez-Ortiz GI,Elkington AG,Mohiaddin RH,Rueckert D

    更新日期:2004-09-01 00:00:00

  • Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images.

    abstract::We describe a new 3-D statistical shape model of the heart consisting of atria, ventricles and epicardium. The model was constructed by combining information on standard short- and long-axis cardiac MR images. In the model, the variability of the shape was modeled with PCA- and ICA-based shape models as well as with n...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2004.06.013

    authors: Lötjönen J,Kivistö S,Koikkalainen J,Smutek D,Lauerma K

    更新日期:2004-09-01 00:00:00

  • DT-MRI denoising and neuronal fiber tracking.

    abstract::Diffusion tensor imaging can provide the fundamental information required for viewing structural connectivity. However, robust and accurate acquisition and processing algorithms are needed to accurately map the nerve connectivity. In this paper, we present a novel algorithm for extracting and visualizing the fiber tra...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2003.12.001

    authors: McGraw T,Vemuri BC,Chen Y,Rao M,Mareci T

    更新日期:2004-06-01 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

  • Discriminant snakes for 3D reconstruction of anatomical organs.

    abstract::In this work a new statistic deformable model for 3D segmentation of anatomical organs in medical images is proposed. A statistic discriminant snake performs a supervised learning of the object boundary in an image slice to segment the next slice of the image sequence. Each part of the object boundary is projected in ...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/s1361-8415(03)00014-8

    authors: Pardo XM,Radeva P,Cabello D

    更新日期:2003-09-01 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

  • Segmentation of carpal bones from CT images using skeletally coupled deformable models.

    abstract::The in vivo investigation of joint kinematics in normal and injured wrist requires the segmentation of carpal bones from 3D (CT) images, and their registration over time. The non-uniformity of bone tissue, ranging from dense cortical bone to textured spongy bone, the irregular shape of closely packed carpal bones, sma...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/s1361-8415(02)00065-8

    authors: Sebastian TB,Tek H,Crisco JJ,Kimia BB

    更新日期:2003-03-01 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

  • Computerized detection of pulmonary nodules in chest radiographs based on morphological features and wavelet snake model.

    abstract::We have developed a new computer-aided diagnosis scheme for automated detection of lung nodules in digital chest radiographs based on a combination of morphological features and the wavelet snake. In our scheme, two processes were applied in parallel to reduce the false-positive detections after initial nodule candida...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/s1361-8415(02)00064-6

    authors: Keserci B,Yoshida H

    更新日期:2002-12-01 00:00:00

  • Deformable organisms for automatic medical image analysis.

    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

    authors: McInerney T,Hamarneh G,Shenton M,Terzopoulos D

    更新日期:2002-09-01 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 procedure to average 3D anatomical structures.

    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

    authors: Subramanya K,Dean D

    更新日期:2000-12-01 00:00:00

  • Segmentation of the skull in MRI volumes using deformable model and taking the partial volume effect into account.

    abstract::Segmentation of the skull in medical imagery is an important stage in applications that require the construction of realistic models of the head. Such models are used, for example, to simulate the behavior of electro-magnetic fields in the head and to model the electrical activity of the cortex in EEG and MEG data. In...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/s1361-8415(00)00016-5

    authors: Rifa H,Bloch I,Hutchinson S,Wiart J,Garnero L

    更新日期:2000-09-01 00:00:00

  • Adaptive, template moderated, spatially varying statistical classification.

    abstract::A novel image segmentation algorithm was developed to allow the automatic segmentation of both normal and abnormal anatomy from medical images. The new algorithm is a form of spatially varying statistical classification, in which an explicit anatomical template is used to moderate the segmentation obtained by statisti...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/s1361-8415(00)00003-7

    authors: Warfield SK,Kaus M,Jolesz FA,Kikinis R

    更新日期:2000-03-01 00:00:00

  • A comparison of freehand three-dimensional ultrasound reconstruction techniques.

    abstract::Three-dimensional freehand ultrasound imaging produces a set of irregularly spaced B-scans, which are typically reconstructed on a regular grid for visualization and data analysis. Most standard reconstruction algorithms are designed to minimize computational requirements and do not exploit the underlying shape of the...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/s1361-8415(99)80028-0

    authors: Rohling R,Gee A,Berman L

    更新日期:1999-12-01 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

  • A symbolic environment for visualizing activated foci in functional neuroimaging datasets.

    abstract::This paper presents a symbolic visualization environment known as the Corner Cube environment, which was developed to facilitate rapid examination and comparison of activated foci defined by analyses of functional neuroimaging datasets. We have performed a comparative evaluation of this environment against maximum-int...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/s1361-8415(98)80020-0

    authors: Rehm K,Lakshminaryan K,Frutiger S,Schaper KA,Sumners DW,Strother SC,Anderson JR,Rottenberg DA

    更新日期:1998-09-01 00:00:00

  • Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images.

    abstract::This paper describes a method for the enhancement of curvilinear structures such as vessels and bronchi in three-dimensional (3-D) medical images. A 3-D line enhancement filter is developed with the aim of discriminating line structures from other structures and recovering line structures of various widths. The 3-D li...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/s1361-8415(98)80009-1

    authors: Sato Y,Nakajima S,Shiraga N,Atsumi H,Yoshida S,Koller T,Gerig G,Kikinis R

    更新日期:1998-06-01 00:00:00

  • 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 ...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/s1361-8415(97)85001-3

    authors: Schiemann T,Tiede U,Höhne KH

    更新日期:1997-09-01 00:00:00

  • Multi-modal volume registration by maximization of mutual information.

    abstract::A new information-theoretic approach is presented for finding the registration of volumetric medical images of differing modalities. Registration is achieved by adjustment of the relative position and orientation until the mutual information between the images is maximized. In our derivation of the registration proced...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/s1361-8415(01)80004-9

    authors: Wells WM 3rd,Viola P,Atsumi H,Nakajima S,Kikinis R

    更新日期:1996-03-01 00:00:00

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