Author: Johan Montagnat
Publisher:
ISBN:
Category :
Languages : fr
Pages : 0

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Author: Dagmar Kainmueller
Publisher: Springer Vieweg
ISBN: 9783658070144
Category : Computers
Languages : en
Pages : 180

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Book Description
​ Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The author’s core methodological contribution is a novel deformation model that overcomes limitations of state-of-the-art Deformable Surface approaches, hence allowing for accurate segmentation of tip- and ridge-shaped features of anatomical structures. As for practical contributions, she proposes application-specific segmentation pipelines for a range of anatomical structures, together with thorough evaluations of segmentation accuracy on clinical image data. As compared to related work, these fully automatic pipelines allow for highly accurate segmentation of benchmark image data.​

Author: Isaac Cohen
Publisher:
ISBN:
Category :
Languages : fr
Pages :

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Book Description
LA SEGMENTATION D'IMAGES A L'AIDE DES MODELES DEFORMABLES PERMET D'IMPOSER DES CONTRAINTES GLOBALES AUX CONTOURS DETECTES. LA RESOLUTION DES EQUATIONS AUX DERIVEES PARTIELLES CARACTERISANT LES COURBES ET LES SURFACES DEFORMABLES EST FAITE A L'AIDE D'UNE METHODE D'ELEMENTS FINIS CONFORMES. CETTE METHODE PLUS ELABOREE, PERMET UNE DETECTION DES POINTS DE CONTOUR 2-D ET 3-D PLUS PRECISE ET UNE REDUCTION DE LA COMPLEXITE ALGORITHMIQUE PAR RAPPORT A LA METHODE DES DIFFERENCES FINIES. LE MODELE DE COURBES DEFORMABLES A PERMIS D'ETABLIR UNE PREMIERE SEGMENTATION D'IMAGES 3-D AINSI QU'UN SUIVI DE STRUCTURES DANS DES IMAGES SPATIO-TEMPORELLES. CE SUIVI GLOBAL A ETE COMPLETE PAR UN SUIVI PONCTUEL DES CONTOURS A L'AIDE D'UNE DESCRIPTION EXPLICITE DE LA MISE EN CORRESPONDANCE BASEE SUR LES CARACTERISTIQUES GEOMETRIQUES DE LA COURBE ET LA REGULARITE DU CHAMP DE DEPLACEMENT. NOUS PROPOSONS EGALEMENT UNE METHODE DE DETERMINATION DES PARAMETRES DE REGULARISATION A PARTIR DE LA GEOMETRIE DE LA SURFACE (OU DE LA COURBE) ET DES DONNEES. CETTE METHODE PERMET D'IMPOSER IMPLICITEMENT DES DISCONTINUITES DE POSITION ET DE TANGENTE AUX MODELES DEFORMABLES 2-D ET 3-D. L'ENSEMBLE DES MODELES PROPOSES EST ILLUSTRE PAR DES EXPERIMENTATIONS SUR DES IMAGES SYNTHETIQUES ET MEDICALES

Author: Kenneth Sundaraj
Publisher:
ISBN:
Category :
Languages : en
Pages : 159

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Book Description
L'avènement de l'imagerie médicale et de nouvelles techniques opératoires a bouleversé les méthodes de travail des médecins. Mais ce changement nécessitera une formation renforcée des praticiens et chirurgiens. C'est pourquoi le dévelopment d'outils appropriés comme les simulateurs médico-chirurgicaux se fait de plus en plus ressentir. Dans ce cadre, nous nous sommes intéressés au problème de la modélisation des phénomènes de déformation de tissu biologique et à la détection des collisions dans un environment virtuel. Dans un premier temps, nous présentons les différents modèles physiques existants et les différentes méthodes de résolution numérique associées aux objets déformable. Nous proposons ensuite un modèle développé pour la simulation de tissu biologique, en présentant successivement les aspects liés à la formulation du modèle, à la résolution du modèle, et au traitement des interactions physiques. Ce modèle, basé sur l'utilisation du principe de Pascal, permet de modéliser de manière relativement satisfaisante des corps biologiques, tout en permettant une simulation interactive. Dans un deuxième temps, nous présentons les différents algorithmes existants pour la détectionde collision, ainsi que la difficulté d'adapter ces algorithmes aux simulateurs médicaux où les objets déformables complexes forment la base du modèle. Nous proposons ensuite les algorithmes développés pour traiter ce problème dans le cadre des simulateurs médicaux. Ces algorithmes présentent des caractéristiques de robustesse numérique et d'efficacité supérieures á l'existant, et permettent de traiter des corps déformables. Nous appliquons ces résultats dans le cadre de deux simulateur medicaux.

Author: Tian Shen
Publisher:
ISBN: 9781124655307
Category :
Languages : en
Pages : 149

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Book Description
Deformable models have been a classic approach to image segmentation, and they have been used with considerable success, e.g. in segmenting medical images. While traditional deformable models rely on local image gradient information, it is important to incorporate additional contextual constraints, in order to achieve robustness to noise, intensity inhomogeneity, and locally weak boundary. In this thesis, we propose three new deformable model based segmentation methods to extract contour, surface and tubular structures from 2D and 3D medical images. First, 2D and 3D Active Volume Models (AVM) are proposed, which can integrate region information. To further improve the robustness and accuracy of AVM, we propose Multiple-Surface Active Volume Model (MSAVM), which is able to incorporate high-level geometric spatial constraints among multiple objects. Second, to segment 3D objects containing complex surfaces or high curvature regions, we propose a 3D Laplacian-driven parametric deformable model, which preserves model mesh quality by using a novel internal force derived from mesh Laplacian. Third, to segment coronary arteries, we propose 4D parametric deformable curves aiming to extract the vessels' centerlines and corresponding radii simultaneously. We present both qualitative and quantitative validation experiments for all three proposed methods.

Author: Nicholas Ayache
Publisher: Springer
ISBN: 9783642334535
Category : Computers
Languages : en
Pages : 645

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Book Description
The three-volume set LNCS 7510, 7511, and 7512 constitutes the refereed proceedings of the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012, held in Nice, France, in October 2012. Based on rigorous peer reviews, the program committee carefully selected 252 revised papers from 781 submissions for presentation in three volumes. The third volume includes 79 papers organized in topical sections on diffusion imaging: from acquisition to tractography; image acquisition, segmentation and recognition; image registration; neuroimage analysis; analysis of microscopic and optical images; image segmentation; diffusion weighted imaging; computer-aided diagnosis and planning; and microscopic image analysis.

Author: Nicholas Ayache
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: Jocelyne Troccaz
Publisher: John Wiley & Sons
ISBN: 1118563336
Category : Technology & Engineering
Languages : en
Pages : 457

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Book Description
In this book, we present medical robotics, its evolution over the last 30 years in terms of architecture, design and control, and the main scientific and clinical contributions to the field. For more than two decades, robots have been part of hospitals and have progressively become a common tool for the clinician. Because this domain has now reached a certain level of maturity it seems important and useful to provide a state of the scientific, technological and clinical achievements and still open issues. This book describes the short history of the domain, its specificity and constraints, and mature clinical application areas. It also presents the major approaches in terms of design and control including man-machine interaction modes. A large state of the art is presented and many examples from the literature are included and thoroughly discussed. It aims to provide both a broad and summary view of this very active domain as well as keys to understanding the evolutions of the domain and to prepare for the future. An insight to clinical evaluation is also proposed, and the book is finished with a chapter on future developments for intra-body robots.

Author: Dorland
Publisher: Elsevier Health Sciences
ISBN: 0323442544
Category : Medical
Languages : en
Pages : 481

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Book Description
Medical acronyms and abbreviations offer convenience, but those countless shortcuts can often be confusing. Now a part of the popular Dorland's suite of products, this reference features thousands of terms from across various medical specialties. Its alphabetical arrangement makes for quick reference, and expanded coverage of symbols ensures they are easier to find. Effective communication plays an important role in all medical settings, so turn to this trusted volume for nearly any medical abbreviation you might encounter. - Symbols section makes it easier to locate unusual or seldom-used symbols. - Convenient alphabetical format allows you to find the entry you need more intuitively. - More than 90,000 entries and definitions. - Many new and updated entries including terminology in expanding specialties, such as Nursing; Physical, Occupational, and Speech Therapies; Transcription and Coding; Computer and Technical Fields. - New section on abbreviations to avoid, including Joint Commission abbreviations that are not to be used. - Incorporates updates suggested by the Institute for Safe Medication Practices (ISMP).

Author: Erik R. Ranschaert
Publisher: Springer
ISBN: 3319948784
Category : Medical
Languages : en
Pages : 369

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Book Description
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.