Abstract：
:Three-dimensional (3D) freehand ultrasound uses the acquisition of non-parallel B-scans localized in 3D by a tracking system (optic, mechanical or magnetic). Using the positions of the irregularly spaced B-scans, a regular 3D lattice volume can be reconstructed, to which conventional 3D computer vision algorithms (registration and segmentation) can be applied. This paper presents a new 3D reconstruction method which explicitly accounts for the probe trajectory. Experiments were conducted on phantom and intra-operative datasets using various probe motion types and varied slice-to-slice B-scan distances. Results suggest that this technique improves on classical methods at the expense of computational time.
journal_name
Med Image Analjournal_title
Medical image analysisauthors
Coupé P,Hellier P,Morandi X,Barillot Cdoi
10.1016/j.media.2007.05.002subject
Has Abstractpub_date
2007-12-01 00:00:00pages
604-15issue
6eissn
1361-8415issn
1361-8423pii
S1361-8415(07)00055-2journal_volume
11pub_type
杂志文章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：:Accurate segmentation of a pulmonary nodule is an important and active area of research in medical image processing. Although many algorithms have been reported in literature for this problem, those that are applicable to various density types have not been available until recently. In this paper, we propose a new alg...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2010.08.005
更新日期：2011-02-01 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：:Dynamical contrast enhanced (DCE) imaging allows non invasive access to tissue micro-vascularization. It appears as a promising tool to build imaging biomarkers for diagnostic, prognosis or anti-angiogenesis treatment monitoring of cancer. However, quantitative analysis of DCE image sequences suffers from low signal t...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2018.10.007
更新日期：2019-01-01 00:00:00
abstract：:This paper describes a method for building efficient representations of large sets of brain images. Our hypothesis is that the space spanned by a set of brain images can be captured, to a close approximation, by a low-dimensional, nonlinear manifold. This paper presents a method to learn such a low-dimensional manifol...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2010.05.008
更新日期：2010-10-01 00:00:00
abstract：:Deep learning-based systems can achieve a diagnostic performance comparable to physicians in a variety of medical use cases including the diagnosis of diabetic retinopathy. To be useful in clinical practice, it is necessary to have well calibrated measures of the uncertainty with which these systems report their decis...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2020.101724
更新日期：2020-08-01 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：: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：:Alzheimers disease (AD) is a complex neurodegenerative disease. Its early diagnosis and treatment have been a major concern of researchers. Currently, the multi-modality data representation learning of this disease is gradually becoming an emerging research field, attracting widespread attention. However, in practice,...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2020.101953
更新日期：2021-01-01 00:00:00
abstract：:In minimally invasive surgery, deployment of motion compensation, dynamic active constraints and adaptive intra-operative guidance require accurate estimation of deforming tissue in 3D. To this end, the use of vision-based techniques is advantageous in that it does not require the integration of additional hardware to...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2011.02.010
更新日期：2012-04-01 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：: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：: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
更新日期：2002-09-01 00:00:00
abstract：:During neurosurgical procedures the objective of the neurosurgeon is to achieve the resection of as much diseased tissue as possible while achieving the preservation of healthy brain tissue. The restricted capacity of the conventional operating room to enable the surgeon to visualize critical healthy brain structures ...
journal_title：Medical image analysis
pub_type： 杂志文章,评审
doi：10.1016/j.media.2004.11.005
更新日期：2005-04-01 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：: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：: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：:We present a machine learning approach called shape regression machine (SRM) for efficient segmentation of an anatomic structure that exhibits a deformable shape in a medical image, e.g., left ventricle endocardial wall in an echocardiogram. The SRM achieves efficient segmentation via statistical learning of the inter...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2010.04.002
更新日期：2010-08-01 00:00:00
abstract：:In this paper, we review state-of-the-art techniques to correct eye motion artifacts in Optical Coherence Tomography (OCT) imaging. The methods for eye motion artifact reduction can be categorized into two major classes: (1) hardware-based techniques and (2) software-based techniques. In the first class, additional ha...
journal_title：Medical image analysis
pub_type： 杂志文章,评审
doi：10.1016/j.media.2017.02.002
更新日期：2017-04-01 00:00:00
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：:Interpretation of ultrasound videos of the fetal heart is crucial for the antenatal diagnosis of congenital heart disease (CHD). We believe that automated image analysis techniques could make an important contribution towards improving CHD detection rates. However, to our knowledge, no previous work has been done in t...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2016.11.006
更新日期：2017-02-01 00:00:00
abstract：:A probabilistic framework for registering generalised point sets comprising multiple voxel-wise data features such as positions, orientations and scalar-valued quantities, is proposed. It is employed for the analysis of magnetic resonance diffusion tensor image (DTI)-derived quantities, such as fractional anisotropy (...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2019.01.001
更新日期：2019-04-01 00:00:00
abstract：:Prostate brachytherapy is a treatment for prostate cancer using radioactive seeds that are permanently implanted in the prostate. The treatment success depends on adequate coverage of the target gland with a therapeutic dose, while sparing the surrounding tissue. Since seed implantation is performed under transrectal ...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2012.06.001
更新日期：2012-10-01 00:00:00
abstract：:We propose a method to classify cardiac pathology based on a novel approach to extract image derived features to characterize the shape and motion of the heart. An original semi-supervised learning procedure, which makes efficient use of a large amount of non-segmented images and a small amount of images segmented man...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2019.06.001
更新日期：2019-08-01 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：: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：:The whole slide histopathology images (WSIs) play a critical role in gastric cancer diagnosis. However, due to the large scale of WSIs and various sizes of the abnormal area, how to select informative regions and analyze them are quite challenging during the automatic diagnosis process. The multi-instance learning bas...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2019.101549
更新日期：2019-12-01 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：: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：:Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is increasingly being used for the detection and diagnosis of breast cancer. Compared to mammography, DCE-MRI provides higher sensitivity, however its specificity is variable. Moreover, DCE-MRI data analysis is time consuming and depends on reader expertis...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2014.12.001
更新日期：2015-02-01 00:00:00
