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

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

abstract：:Quantitative magnetic resonance imaging (qMRI) is a technique for estimating quantitative tissue properties, such as the T1 and T2 relaxation times, apparent diffusion coefficient (ADC), and various perfusion measures. This estimation is achieved by acquiring multiple images with different acquisition parameters (or a...

journal_title：Medical image analysis

authors： Huizinga W,Poot DH,Guyader JM,Klaassen R,Coolen BF,van Kranenburg M,van Geuns RJ,Uitterdijk A,Polfliet M,Vandemeulebroucke J,Leemans A,Niessen WJ,Klein S

更新日期：2016-04-01 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

authors： Saito A,Nawano S,Shimizu A

更新日期：2016-02-01 00:00:00

abstract：:The incorporation of intensity, spatial, and topological information into large-scale multi-region segmentation has been a topic of ongoing research in medical image analysis. Multi-region segmentation problems, such as segmentation of brain structures, pose unique challenges in image segmentation in which regions may...

journal_title：Medical image analysis

authors： Rajchl M,Baxter JS,McLeod AJ,Yuan J,Qiu W,Peters TM,Khan AR

更新日期：2016-01-01 00:00:00

abstract：:Discrete optimisation strategies have a number of advantages over their continuous counterparts for deformable registration of medical images. For example: it is not necessary to compute derivatives of the similarity term; dense sampling of the search space reduces the risk of becoming trapped in local optima; and (in...

journal_title：Medical image analysis

authors： Heinrich MP,Simpson IJ,Papież BW,Brady SM,Schnabel JA

更新日期：2016-01-01 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

authors： Yin B,Li H,Sheng B,Hou X,Chen Y,Wu W,Li P,Shen R,Bao Y,Jia W

更新日期：2015-12-01 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

authors： Taquet M,Scherrer B,Boumal N,Peters JM,Macq B,Warfield SK

更新日期：2015-12-01 00:00:00

abstract：:In this paper, we present a generative Bayesian approach for estimating the low-dimensional latent space of diffeomorphic shape variability in a population of images. We develop a latent variable model for principal geodesic analysis (PGA) that provides a probabilistic framework for factor analysis in the space of dif...

journal_title：Medical image analysis

authors： Zhang M,Fletcher PT

更新日期：2015-10-01 00:00:00

abstract：:An automated segmentation method is presented for multi-organ segmentation in abdominal CT images. Dictionary learning and sparse coding techniques are used in the proposed method to generate target specific priors for segmentation. The method simultaneously learns dictionaries which have reconstructive power and clas...

journal_title：Medical image analysis

authors： Tong T,Wolz R,Wang Z,Gao Q,Misawa K,Fujiwara M,Mori K,Hajnal JV,Rueckert D

更新日期：2015-07-01 00:00:00

abstract：:Image-based parcellation of the brain often leads to multiple disconnected anatomical structures, which pose significant challenges for analyses of morphological shapes. Existing shape models, such as the widely used spherical harmonic (SPHARM) representation, assume topological invariance, so are unable to simultaneo...

journal_title：Medical image analysis

authors： Pasha Hosseinbor A,Chung MK,Koay CG,Schaefer SM,van Reekum CM,Schmitz LP,Sutterer M,Alexander AL,Davidson RJ

更新日期：2015-05-01 00:00:00

abstract：:Cortical thickness estimation in magnetic resonance imaging (MRI) is an important technique for research on brain development and neurodegenerative diseases. This paper presents a heat kernel based cortical thickness estimation algorithm, which is driven by the graph spectrum and the heat kernel theory, to capture the...

journal_title：Medical image analysis

authors： Wang G,Zhang X,Su Q,Shi J,Caselli RJ,Wang Y,Alzheimer’s Disease Neuroimaging Initiative.

更新日期：2015-05-01 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

authors： Gubern-Mérida A,Martí R,Melendez J,Hauth JL,Mann RM,Karssemeijer N,Platel B

更新日期：2015-02-01 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

authors： Išgum I,Benders MJ,Avants B,Cardoso MJ,Counsell SJ,Gomez EF,Gui L,Hűppi PS,Kersbergen KJ,Makropoulos A,Melbourne A,Moeskops P,Mol CP,Kuklisova-Murgasova M,Rueckert D,Schnabel JA,Srhoj-Egekher V,Wu J,Wang S,de Vries

更新日期：2015-02-01 00:00:00

abstract：:Current neuroimaging investigation of the white matter typically focuses on measurements derived from diffusion tensor imaging, such as fractional anisotropy (FA). In contrast, imaging studies of the gray matter oftentimes focus on morphological features such as cortical thickness, folding and surface curvature. As a ...

journal_title：Medical image analysis

authors： Savadjiev P,Rathi Y,Bouix S,Smith AR,Schultz RT,Verma R,Westin CF

更新日期：2014-12-01 00:00:00

abstract：:Registration plays an important role in group analysis of diffusion-weighted imaging (DWI) data. It can be used to build a reference anatomy for investigating structural variation or tracking changes in white matter. Unlike traditional scalar image registration where spatial alignment is the only focus, registration o...

journal_title：Medical image analysis

authors： Zhang P,Niethammer M,Shen D,Yap PT

更新日期：2014-12-01 00:00:00

abstract：:Label fusion is a critical step in many image segmentation frameworks (e.g., multi-atlas segmentation) as it provides a mechanism for generalizing a collection of labeled examples into a single estimate of the underlying segmentation. In the multi-label case, typical label fusion algorithms treat all labels equally - ...

journal_title：Medical image analysis

authors： Asman AJ,Landman BA

更新日期：2014-10-01 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

authors： Zhang X,Thibault G,Decencière E,Marcotegui B,Laÿ B,Danno R,Cazuguel G,Quellec G,Lamard M,Massin P,Chabouis A,Victor Z,Erginay A

更新日期：2014-10-01 00:00:00

abstract：:Machine learning techniques have been widely used to detect morphological abnormalities from structural brain magnetic resonance imaging data and to support the diagnosis of neurological diseases such as dementia. In this paper, we propose to use a multiple instance learning (MIL) method in an application for the dete...

journal_title：Medical image analysis

authors： Tong T,Wolz R,Gao Q,Guerrero R,Hajnal JV,Rueckert D,Alzheimer’s Disease Neuroimaging Initiative.

更新日期：2014-07-01 00:00:00

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

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

更新日期：2014-07-01 00:00:00

abstract：:In this paper, we present a graph-based concurrent brain tumor segmentation and atlas to diseased patient registration framework. Both segmentation and registration problems are modeled using a unified pairwise discrete Markov Random Field model on a sparse grid superimposed to the image domain. Segmentation is addres...

journal_title：Medical image analysis

authors： Parisot S,Wells W 3rd,Chemouny S,Duffau H,Paragios N

更新日期：2014-05-01 00:00:00

abstract：:The spinal cord is an essential and vulnerable component of the central nervous system. Differentiating and localizing the spinal cord internal structure (i.e., gray matter vs. white matter) is critical for assessment of therapeutic impacts and determining prognosis of relevant conditions. Fortunately, new magnetic re...

journal_title：Medical image analysis

authors： Asman AJ,Bryan FW,Smith SA,Reich DS,Landman BA

更新日期：2014-04-01 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

authors： Rivaz H,Karimaghaloo Z,Collins DL

更新日期：2014-02-01 00:00:00

abstract：:Examinations of the spinal column with both, Magnetic Resonance (MR) imaging and Computed Tomography (CT), often require a precise three-dimensional positioning, angulation and labeling of the spinal disks and the vertebrae. A fully automatic and robust approach is a prerequisite for an automated scan alignment as wel...

journal_title：Medical image analysis

authors： Michael Kelm B,Wels M,Kevin Zhou S,Seifert S,Suehling M,Zheng Y,Comaniciu D

更新日期：2013-12-01 00:00:00

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

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

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

authors： Major D,Hladůvka J,Schulze F,Bühler K

更新日期：2013-12-01 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

authors： Lupaşcu CA,Tegolo D,Trucco E

更新日期：2013-12-01 00:00:00

abstract：:The accurate localization of anatomical landmarks is a challenging task, often solved by domain specific approaches. We propose a method for the automatic localization of landmarks in complex, repetitive anatomical structures. The key idea is to combine three steps: (1) a classifier for pre-filtering anatomical landma...

journal_title：Medical image analysis

authors： Donner R,Menze BH,Bischof H,Langs G

更新日期：2013-12-01 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

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

更新日期：2013-10-01 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

authors： Merlet SL,Deriche R

更新日期：2013-07-01 00:00:00

abstract：:In this paper, we propose a new strategy for modelling sliding conditions when registering 3D images in a piecewise-diffeomorphic framework. More specifically, our main contribution is the development of a mathematical formalism to perform Large Deformation Diffeomorphic Metric Mapping registration with sliding condit...

journal_title：Medical image analysis

authors： Risser L,Vialard FX,Baluwala HY,Schnabel JA

更新日期：2013-02-01 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

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

更新日期：2013-01-01 00:00:00

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

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

更新日期：2012-12-01 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

authors： Tang L,Bressmann T,Hamarneh G

更新日期：2012-12-01 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

authors： Dehghan E,Lee J,Fallavollita P,Kuo N,Deguet A,Le Y,Clif Burdette E,Song DY,Prince JL,Fichtinger G

更新日期：2012-10-01 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

authors： Weldeselassie YT,Barmpoutis A,Atkins MS

更新日期：2012-08-01 00:00:00

abstract：:This paper presents a new approach to the simulation of soft tissues deformation suitable for real time computation, particularly intriguing for medical applications. The approach implements a quasi-static solution for elastic global deformations of objects filled with fluid and fibers, which can be a good approximati...

journal_title：Medical image analysis

authors： Costa IF

更新日期：2012-07-01 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

authors： Yin Z,Kanade T,Chen M

更新日期：2012-07-01 00:00:00

abstract：:A deformable registration method is described that enables automatic alignment of magnetic resonance (MR) and 3D transrectal ultrasound (TRUS) images of the prostate gland. The method employs a novel "model-to-image" registration approach in which a deformable model of the gland surface, derived from an MR image, is r...

journal_title：Medical image analysis

authors： Hu Y,Ahmed HU,Taylor Z,Allen C,Emberton M,Hawkes D,Barratt D

更新日期：2012-04-01 00:00:00

abstract：:This paper presents a new hybrid camera motion tracking method for bronchoscopic navigation combining SIFT, epipolar geometry analysis, Kalman filtering, and image registration. In a thorough evaluation, we compare it to state-of-the-art tracking methods. Our hybrid algorithm for predicting bronchoscope motion uses SI...

journal_title：Medical image analysis

authors： Luó X,Feuerstein M,Deguchi D,Kitasaka T,Takabatake H,Mori K

更新日期：2012-04-01 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

authors： Mountney P,Yang GZ

更新日期：2012-04-01 00:00:00