Abstract：
:A multiple hypothesis tracking approach to the segmentation of small 3D vessel structures is presented. By simultaneously tracking multiple hypothetical vessel trajectories, low contrast passages can be traversed, leading to an improved tracking performance in areas of low contrast. This work also contributes a novel mathematical vessel template model, with which an accurate vessel centerline extraction is obtained. The tracking is fast enough for interactive segmentation and can be combined with other segmentation techniques to form robust hybrid methods. This is demonstrated by segmenting both the liver arteries in CT angiography data, which is known to pose great challenges, and the coronary arteries in 32 CT cardiac angiography data sets in the Rotterdam Coronary Artery Algorithm Evaluation Framework, for which ground-truth centerlines are available.
journal_name
Med Image Analjournal_title
Medical image analysisauthors
Friman O,Hindennach M,Kühnel C,Peitgen HOdoi
10.1016/j.media.2009.12.003subject
Has Abstractpub_date
2010-04-01 00:00:00pages
160-71issue
2eissn
1361-8415issn
1361-8423pii
S1361-8415(09)00147-9journal_volume
14pub_type
杂志文章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：:Fine-featured elastograms may provide additional information of radiological interest in the context of in vivo elastography. Here a new image processing pipeline called ESP (Elastography Software Pipeline) is developed to create Magnetic Resonance Elastography (MRE) maps of viscoelastic parameters (complex modulus ma...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2016.05.012
更新日期：2017-01-01 00:00:00
abstract：:Diffusion weighted imaging (DWI) is sensitive to alterations in the diffusion of water molecules caused by microstructural barriers. Different microstructural compartments are characterized by differences in DWI signal. Diffusion tensor imaging conflates the signal from these compartments into a single tensor, which p...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2015.10.004
更新日期：2015-12-01 00:00:00
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
更新日期：2004-06-01 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：: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：:Simulating cardiac electromechanical activity is of great interest for a better understanding of pathologies and for therapy planning. Design and validation of such models is difficult due to the lack of clinical data. XMR systems are a new type of interventional facility in which patients can be rapidly transferred b...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2005.05.003
更新日期：2005-10-01 00:00:00
abstract：:The eye affords a unique opportunity to inspect a rich part of the human microvasculature non-invasively via retinal imaging. Retinal blood vessel segmentation and classification are prime steps for the diagnosis and risk assessment of microvascular and systemic diseases. A high volume of techniques based on deep lear...
journal_title：Medical image analysis
pub_type： 杂志文章,评审
doi：10.1016/j.media.2020.101905
更新日期：2021-02-01 00:00:00
abstract：:Segmentation of the geometric morphology of abdominal aortic aneurysm is important for interventional planning. However, the segmentation of both the lumen and the outer wall of aneurysm in magnetic resonance (MR) image remains challenging. This study proposes a registration based segmentation methodology for efficien...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2017.05.005
更新日期：2017-08-01 00:00:00
abstract：:In this paper, we present a new method for the automatic comparison of myocardial motion patterns and the characterization of their degree of abnormality, based on a statistical atlas of motion built from a reference healthy population. Our main contribution is the computation of atlas-based indexes that quantify the ...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2010.12.006
更新日期：2011-06-01 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：:A number of algorithms for brain segmentation in preterm born infants have been published, but a reliable comparison of their performance is lacking. The NeoBrainS12 study (http://neobrains12.isi.uu.nl), providing three different image sets of preterm born infants, was set up to provide such a comparison. These sets a...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2014.11.001
更新日期：2015-02-01 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：: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
更新日期：1997-09-01 00:00:00
abstract：:Highly relevant for both clinical and legal medicine applications, the established radiological methods for estimating unknown age in children and adolescents are based on visual examination of bone ossification in X-ray images of the hand. Our group has initiated the development of fully automatic age estimation meth...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2019.101538
更新日期：2019-12-01 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：:Mutual information (MI) has been widely used as a similarity measure for rigid registration of multi-modal and uni-modal medical images. However, robust application of MI to deformable registration is challenging mainly because rich structural information, which are critical cues for successful deformable registration...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2013.12.003
更新日期：2014-02-01 00:00:00
abstract：:The automatic extraction of blood vessels in non-fluorescein eye fundus images is a tough task in applications such as diabetic retinopathy screening. However, vessel shapes have complex variations, and accurate modeling of retinal vascular structures is challenging. We have therefore developed a new approach to accur...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2015.09.002
更新日期：2015-12-01 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：:The spinal column is one of the most distinguishable structures in CT scans of the superior part of the human body. It is not necessary to segment the spinal column in order to use it as a frame of reference. It is sufficient to place landmarks and the appropriate anatomical labels at intervertebral disks and vertebra...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2013.07.005
更新日期：2013-12-01 00:00:00
abstract：:A novel method for estimating a field of fiber orientation distribution (FOD) based on signal de-convolution from a given set of diffusion weighted magnetic resonance (DW-MR) images is presented. We model the FOD by higher order Cartesian tensor basis using a parametrization that explicitly enforces the positive semi-...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2012.07.002
更新日期：2012-08-01 00:00:00
abstract：:We propose a novel airway segmentation method in volumetric chest computed tomography (CT) and evaluate its performance on multiple datasets. The segmentation is performed voxel-by-voxel by a 2.5D convolutional neural net (2.5D CNN) trained in a supervised manner. To enhance the accuracy of the segmented airway tree, ...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2018.10.006
更新日期：2019-01-01 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：:Accurate digital representation of major white matter bundles in the brain is an important goal in neuroscience image computing since the representations can be used for surgical planning, intra-patient longitudinal analysis and inter-subject population connectivity studies. Reconstructing desired fiber bundles genera...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2018.02.008
更新日期：2018-05-01 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：:Although white matter hyperintensities evolve in the course of ageing, few solutions exist to consider the lesion segmentation problem longitudinally. Based on an existing automatic lesion segmentation algorithm, a longitudinal extension is proposed. For evaluation purposes, a longitudinal lesion simulator is created ...
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：:Biophysical models of the atrium provide a physically constrained framework for describing the current state of an atrium and allow predictions of how that atrium will respond to therapy. We propose a work flow to simulate patient specific electrophysiological heterogeneity from clinical data and validate the resultin...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2018.04.005
更新日期：2018-07-01 00:00:00
abstract：:The automatic detection of exudates in color eye fundus images is an important task in applications such as diabetic retinopathy screening. The presented work has been undertaken in the framework of the TeleOphta project, whose main objective is to automatically detect normal exams in a tele-ophthalmology network, thu...
journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2014.05.004
更新日期：2014-10-01 00:00:00
abstract：:After two decades of increasing interest and research activity, computer-assisted diagnostic approaches are reaching the stage where more routine deployment in clinical practice is becoming a possibility [Kruppinski, E.A., 2004. Computer-aided detection in clinical environment: Benefits and challenges for radiologists...
journal_title：Medical image analysis
pub_type： 杂志文章,评审
doi：10.1016/j.media.2005.06.003
更新日期：2006-04-01 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
