abstract：:Magnetic resonance images tend to be influenced by various random factors usually referred to as "noise". The principal sources of noise and related artefacts can be divided into two types: arising from hardware (acquisition coil arrays, gradient coils, field inhomogeneity); and arising from the subject (physiological...

journal_title：Medical image analysis

authors： Maximov II,Farrher E,Grinberg F,Shah NJ

更新日期：2012-02-01 00:00:00

abstract：:Registration of three-dimensional ultrasound (3DUS) volumes is necessary in several applications, such as when stitching volumes to expand the field of view or when stabilizing a temporal sequence of volumes to cancel out motion of the probe or anatomy. Current systems that register 3DUS volumes either use external tr...

journal_title：Medical image analysis

authors： Schneider RJ,Perrin DP,Vasilyev NV,Marx GR,Del Nido PJ,Howe RD

更新日期：2012-02-01 00:00:00

abstract：:Atlas-based methods for automated preoperative planning of the femoral stem implant in total hip arthroplasty are described. Statistical atlases are constructed from a number of past preoperative plans prepared by experienced surgeons in order to represent the surgeon's expertise of the planning. Two types of atlases ...

journal_title：Medical image analysis

authors： Otomaru I,Nakamoto M,Kagiyama Y,Takao M,Sugano N,Tomiyama N,Tada Y,Sato Y

更新日期：2012-02-01 00:00:00

abstract：:The current standard of care for glaucoma patients consists of functional assessment of vision via visual field (VF) testing, which is sensitive but subjective, time-consuming, and often unreliable. A new imaging technology, Fourier domain optical coherence tomography (OCT), is being introduced to assess the structura...

journal_title：Medical image analysis

authors： Tsai A,Caprioli J,Shen LQ

更新日期：2012-01-01 00:00:00

abstract：:The Cartesian parallel magnetic imaging problem is formulated variationally using a high-order penalty for coil sensitivities and a total variation like penalty for the reconstructed image. Then the optimality system is derived and numerically discretized. The objective function used is non-convex, but it possesses a ...

journal_title：Medical image analysis

authors： Keeling SL,Clason C,Hintermüller M,Knoll F,Laurain A,von Winckel G

更新日期：2012-01-01 00:00:00

abstract：:In-silico continuum simulations of organ and tissue scale physiology often require a discretisation or mesh of the solution domain. Cubic Hermite meshes provide a smooth representation of anatomy that is well-suited for simulating large deformation mechanics. Models of organ mechanics and deformation have demonstrated...

journal_title：Medical image analysis

authors： Lamata P,Niederer S,Nordsletten D,Barber DC,Roy I,Hose DR,Smith N

更新日期：2011-12-01 00:00:00

abstract：:In this work we propose a comprehensive study of Digital Stent Enhancement (DSE), from the analysis of the requirements to the validation of the proposed solution. First, we derive the stent visualization requirements in the context of the clinical application and workflow. Then, we propose a DSE algorithm combining a...

journal_title：Medical image analysis

authors： Bismuth V,Vaillant R,Funck F,Guillard N,Najman L

更新日期：2011-08-01 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

authors： Duchateau N,De Craene M,Piella G,Silva E,Doltra A,Sitges M,Bijnens BH,Frangi AF

更新日期：2011-06-01 00:00:00

abstract：:Independent component analysis (ICA) is a statistical technique that estimates a set of sources mixed by an unknown mixing matrix using only a set of observations. For this purpose, the only assumption is that the sources are statistically independent. In many applications, some information about the nature of the unk...

journal_title：Medical image analysis

authors： Barriga ES,Pattichis M,Ts'o D,Abramoff M,Kardon R,Kwon Y,Soliz P

更新日期：2011-02-01 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

authors： Kubota T,Jerebko AK,Dewan M,Salganicoff M,Krishnan A

更新日期：2011-02-01 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

authors： Gerber S,Tasdizen T,Thomas Fletcher P,Joshi S,Whitaker R,Alzheimers Disease Neuroimaging Initiative (ADNI).

更新日期：2010-10-01 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

authors： Lee S,Reinhardt JM,Cattin PC,Abràmoff MD

更新日期：2010-08-01 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

authors： Zhou SK

更新日期：2010-08-01 00:00:00

abstract：:The distribution of cortical bone in the proximal femur is believed to be a critical component in determining fracture resistance. Current CT technology is limited in its ability to measure cortical thickness, especially in the sub-millimetre range which lies within the point spread function of today's clinical scanne...

journal_title：Medical image analysis

authors： Treece GM,Gee AH,Mayhew PM,Poole KE

更新日期：2010-06-01 00:00:00

abstract：:In this paper, we propose a novel automated pipeline for extraction of sulcal fundi from triangulated cortical surfaces. This method consists of four consecutive steps. Firstly, we adopt a finite difference method to estimate principal curvatures, principal directions and curvature derivatives, along the principal dir...

journal_title：Medical image analysis

authors： Li G,Guo L,Nie J,Liu T

更新日期：2010-06-01 00:00:00

abstract：:We propose in this article a content-based image retrieval (CBIR) method for diagnosis aid in medical fields. In the proposed system, images are indexed in a generic fashion, without extracting domain-specific features: a signature is built for each image from its wavelet transform. These image signatures characterize...

journal_title：Medical image analysis

authors： Quellec G,Lamard M,Cazuguel G,Cochener B,Roux C

更新日期：2010-04-01 00:00:00

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 ...

journal_title：Medical image analysis

authors： Friman O,Hindennach M,Kühnel C,Peitgen HO

更新日期：2010-04-01 00:00:00

abstract：:Accurate cortical thickness estimation is important for the study of many neurodegenerative diseases. Many approaches have been previously proposed, which can be broadly categorised as mesh-based and voxel-based. While the mesh-based approaches can potentially achieve subvoxel resolution, they usually lack the computa...

journal_title：Medical image analysis

authors： Acosta O,Bourgeat P,Zuluaga MA,Fripp J,Salvado O,Ourselin S,Alzheimer's Disease Neuroimaging Initiative.

更新日期：2009-10-01 00:00:00

abstract：:Statistical shape models (SSMs) have by now been firmly established as a robust tool for segmentation of medical images. While 2D models have been in use since the early 1990 s, wide-spread utilization of three-dimensional models appeared only in recent years, primarily made possible by breakthroughs in automatic dete...

journal_title：Medical image analysis

authors： Heimann T,Meinzer HP

更新日期：2009-08-01 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

authors： Naegel B,Cernicanu A,Hyacinthe JN,Tognolini M,Vallée JP

更新日期：2009-08-01 00:00:00

abstract：:We describe a system for respiratory motion correction of MRI-derived roadmaps for use in X-ray guided cardiac catheterisation procedures. The technique uses a subject-specific affine motion model that is quickly constructed from a short pre-procedure MRI scan. We test a dynamic MRI sequence that acquires a small numb...

journal_title：Medical image analysis

authors： King AP,Boubertakh R,Rhode KS,Ma YL,Chinchapatnam P,Gao G,Tangcharoen T,Ginks M,Cooklin M,Gill JS,Hawkes DJ,Razavi RS,Schaeffter T

更新日期：2009-06-01 00:00:00

abstract：:For many orthopaedic, neurological, and oncological applications, an exact segmentation of the vertebral column including an identification of each vertebra is essential. However, although bony structures show high contrast in CT images, the segmentation and labelling of individual vertebrae is challenging. In this pa...

journal_title：Medical image analysis

authors： Klinder T,Ostermann J,Ehm M,Franz A,Kneser R,Lorenz C

更新日期：2009-06-01 00:00:00

abstract：:This paper presents a new approach for multimodal medical image registration and compares it to normalized mutual information (NMI) and the correlation ratio (CR). Like NMI and CR, the new method's measure of registration quality is based on the distribution of points in the joint intensity scatter plot (JISP); compac...

journal_title：Medical image analysis

authors： Orchard J

更新日期：2008-08-01 00:00:00

abstract：:This paper presents a robust algorithm for calibration and system registration of endoscopic imaging devices. The system registration allows us to map accurately each point in the world coordinate system into the endoscope image and vice versa to obtain the world line of sight for each image pixel. The key point of ou...

journal_title：Medical image analysis

authors： Konen W,Tombrock S,Scholz M

更新日期：2007-12-01 00:00:00

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

authors： Lee J,Beighley P,Ritman E,Smith N

更新日期：2007-12-01 00:00:00

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 (reg...

journal_title：Medical image analysis

authors： Coupé P,Hellier P,Morandi X,Barillot C

更新日期：2007-12-01 00:00:00

abstract：:Lung CAD systems require the ability to classify a variety of pulmonary structures as part of the diagnostic process. The purpose of this work was to develop a methodology for fully automated voxel-by-voxel classification of airways, fissures, nodules, and vessels from chest CT images using a single feature set and cl...

journal_title：Medical image analysis

authors： Ochs RA,Goldin JG,Abtin F,Kim HJ,Brown K,Batra P,Roback D,McNitt-Gray MF,Brown MS

更新日期：2007-06-01 00:00:00

abstract：:Dynamic-susceptibility-contrast (DSC) magnetic resonance imaging records signal changes on images when the injected contrast-agent particles pass through a human brain. The temporal signal changes on different brain tissues manifest distinct blood-supply patterns which are vital for the profound analysis of cerebral h...

journal_title：Medical image analysis

authors： Chou YC,Teng MM,Guo WY,Hsieh JC,Wu YT

更新日期：2007-06-01 00:00:00

abstract：:We have developed a new technique for extracting histological parameters from multi-spectral images of the ocular fundus. The new method uses a Monte Carlo simulation of the reflectance of the fundus to model how the spectral reflectance of the tissue varies with differing tissue histology. The model is parameterised ...

journal_title：Medical image analysis

authors： Styles IB,Calcagni A,Claridge E,Orihuela-Espina F,Gibson JM

更新日期：2006-08-01 00:00:00

abstract：:Many cardiac pathologies are reflected in abnormal myocardial deformation, accessible through magnetic resonance tagging (MRT). Interpretation of the MRT data is difficult, since the relation between pathology and deformation is not straightforward. Mathematical models of cardiac mechanics could be used to translate m...

journal_title：Medical image analysis

authors： Ubbink SW,Bovendeerd PH,Delhaas T,Arts T,van de Vosse FN

更新日期：2006-08-01 00:00:00

abstract：:In this paper, we present a framework to estimate local ventricular myocardium contractility using clinical MRI, a heart model and data assimilation. First, we build a generic anatomical model of the ventricles including muscle fibre orientations and anatomical subdivisions. Then, this model is deformed to fit a clini...

journal_title：Medical image analysis

authors： Sermesant M,Moireau P,Camara O,Sainte-Marie J,Andriantsimiavona R,Cimrman R,Hill DL,Chapelle D,Razavi R

更新日期：2006-08-01 00:00:00

abstract：:We propose two information theoretic similarity measures that allow to incorporate tissue class information in non-rigid image registration. The first measure assumes that tissue class probabilities have been assigned to each of the images to be registered by prior segmentation of both of them. One image is then non-r...

journal_title：Medical image analysis

authors： D'Agostino E,Maes F,Vandermeulen D,Suetens P

更新日期：2006-06-01 00:00:00

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...

journal_title：Medical image analysis

authors： Gee AH,James Housden R,Hassenpflug P,Treece GM,Prager RW

更新日期：2006-04-01 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

authors： Zhu Y,Williams S,Zwiggelaar R

更新日期：2006-04-01 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

authors： Belaroussi B,Milles J,Carme S,Zhu YM,Benoit-Cattin H

更新日期：2006-04-01 00:00:00

abstract：:The Insight Toolkit (ITK) initiative from the National Library of Medicine has provided a suite of state-of-the-art segmentation and registration algorithms ideally suited to volume visualization and analysis. A volume visualization application that effectively utilizes these algorithms provides many benefits: it allo...

journal_title：Medical image analysis

authors： Martin K,Ibáñez L,Avila L,Barré S,Kaspersen JH

更新日期：2005-12-01 00:00:00

abstract：:We describe a new algorithm for non-rigid registration capable of estimating a constrained dense displacement field from multi-modal image data. We applied this algorithm to capture non-rigid deformation between digital images of histological slides and digital flat-bed scanned images of cryotomed sections of the lary...

journal_title：Medical image analysis

authors： du Bois d'Aische A,Craene MD,Geets X,Gregoire V,Macq B,Warfield SK

更新日期：2005-12-01 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

authors： Sermesant M,Rhode K,Sanchez-Ortiz GI,Camara O,Andriantsimiavona R,Hegde S,Rueckert D,Lambiase P,Bucknall C,Rosenthal E,Delingette H,Hill DL,Ayache N,Razavi R

更新日期：2005-10-01 00:00:00

abstract：:Retinal images are routinely acquired and assessed to provide diagnostic evidence for many important diseases, e.g. diabetes or hypertension. Because of the acquisition process, very often these images are non-uniformly illuminated and exhibit local luminosity and contrast variability. This problem may seriously affec...

journal_title：Medical image analysis

authors： Foracchia M,Grisan E,Ruggeri A

更新日期：2005-06-01 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

authors： Warfield SK,Haker SJ,Talos IF,Kemper CA,Weisenfeld N,Mewes AU,Goldberg-Zimring D,Zou KH,Westin CF,Wells WM,Tempany CM,Golby A,Black PM,Jolesz FA,Kikinis R

更新日期：2005-04-01 00:00:00