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 rarely satisfied in scans of real tissue, which instead exhibit fairly ubiquitous coherent scattering. By examining the axial and lateral correlation functions, we propose an heuristic technique to quantify the amount of coherency at each point in the B-scans. This leads to an adapted elevational decorrelation scheme which allows for the coherent scattering. Using the adapted scheme, we demonstrate markedly improved reconstructions of animal tissue in vitro.
journal_name
Med Image Analjournal_title
Medical image analysisauthors
Gee AH,James Housden R,Hassenpflug P,Treece GM,Prager RWdoi
10.1016/j.media.2005.08.001subject
Has Abstractpub_date
2006-04-01 00:00:00pages
137-49issue
2eissn
1361-8415issn
1361-8423pii
S1361-8415(05)00070-8journal_volume
10pub_type
杂志文章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：: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：:A novel method based on multiset canonical correlation analysis (mCCA) and linear discriminant analysis (LDA) is presented to identify the major depressive disorder (MDD). The new method comprises two parts, namely, the mCCA-rreg and sparse LDA models. The mCCA-rreg model extends the classical canonical correlation mo...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2019.101600
更新日期：2020-02-01 00:00:00
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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：: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
abstract：:Human brain alignment based on imaging data has long been an intriguing research topic. One of the challenges is the huge inter-individual variabilities, which are pronounced not only in cortical folding patterns, but also in the underlying structural and functional patterns. Also, it is still not fully understood how...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2020.101700
更新日期：2020-07-01 00:00:00
abstract：:Real-time cardiac MRI appears as a promising technique to evaluate the mechanical function of the heart. However, ultra-fast MRI acquisitions come with an important signal-to-noise ratio (SNR) penalty, which drastically reduces the image quality. Hence, a real-time denoising approach would be desirable for SNR amelior...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2009.05.006
更新日期：2009-08-01 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
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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
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journal_title：Medical image analysis
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doi：10.1016/j.media.2019.101549
更新日期：2019-12-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2019.05.004
更新日期：2019-07-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2019.06.016
更新日期：2019-10-01 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
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2017.02.007
更新日期：2017-05-01 00:00:00
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
更新日期：1996-03-01 00:00:00
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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
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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：: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
更新日期：1999-12-01 00:00:00
abstract：:Automated ventricle volume estimation (AVVE) on cardiac magnetic resonance (CMR) images is very important for clinical cardiac disease diagnosis. However, current AVVE methods ignore the error correction for the estimated volume. This results in clinically intolerable ventricle volume estimation error and further lead...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2020.101723
更新日期：2020-08-01 00:00:00
abstract：:Graph-based groupwise registration methods are widely used in atlas construction. Given a group of images, a graph is built whose nodes represent the images, and whose edges represent a geodesic path between two nodes. The distribution of images on an image manifold is explored through edge traversal in a graph. The f...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2020.101711
更新日期：2020-08-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2019.01.006
更新日期：2019-04-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2010.11.001
更新日期：2012-04-01 00:00:00
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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：: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：: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 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：: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：: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：:Magnetic resonance imaging is a popular and powerful non-invasive imaging technique. Automated analysis has become mandatory to efficiently cope with the large amount of data generated using this modality. However, several artifacts, such as intensity non-uniformity, can degrade the quality of acquired data. Intensity...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2005.09.004
更新日期：2006-04-01 00:00:00
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
