Bildverarbeitung für die Medizin 2008

Bildverarbeitung für die Medizin 2008
Author: Thomas Tolxdorff
Publisher: Springer Science & Business Media
Total Pages: 490
Release: 2008-04-07
Genre: Computers
ISBN: 3540786392

In den letzten Jahren hat sich der Workshop „Bildverarbeitung für die Medizin" erfolgreich etabliert. Ziel ist es, aktuelle Forschungsergebnisse darzustellen und den Dialog zwischen Wissenschaftlern, Industrie und Anwendern zu vertiefen. Die Beiträge der Workshop-Dokumentation - einige in englischer Sprache - behandeln alle Bereiche der medizinischen Bildverarbeitung, insbesondere Bildgebung, CAD, Segmentierung, Bildanalyse, Computerunterstützte Diagnose, Therapieplanung sowie deren klinische Anwendungen.

Bildverarbeitung für die Medizin 2009

Bildverarbeitung für die Medizin 2009
Author: Hans-Peter Meinzer
Publisher: Springer Science & Business Media
Total Pages: 492
Release: 2009-03-18
Genre: Computers
ISBN: 3540938591

Auch 2009 hat der Workshop „Bildverarbeitung für die Medizin" erneut zum Ziel, aktuelle Forschungsergebnisse darzustellen und den Dialog zwischen Wissenschaftlern, Industrie und Anwendern zu vertiefen. Die Beiträge des Bandes - einige in englischer Sprache - behandeln alle Bereiche der medizinischen Bildverarbeitung, insbesondere Bildgebung, CAD, Segmentierung, Bildanalyse, Visualisierung und Animation, Roboter und Manipulatoren, Chirurgische Simulatoren, Diagnose, Therapieplanung sowie deren klinische Anwendungen.

Bildverarbeitung für die Medizin 2012

Bildverarbeitung für die Medizin 2012
Author: Thomas Tolxdorff
Publisher: Springer Science & Business Media
Total Pages: 470
Release: 2012-03-17
Genre: Computers
ISBN: 3642285015

In den letzten Jahren hat sich der Workshop "Bildverarbeitung für die Medizin" durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2012 wieder die Darstellung aktueller Forschungsergebnisse und die Vertiefung der Gespräche zwischen Wissenschaftlern, Industrie und Anwendern. Die Beiträge dieses Bandes - einige davon in englischer Sprache - umfassen alle Bereiche der medizinischen Bildverarbeitung, insbesondere Algorithmen, Hard- und Softwaresysteme sowie deren klinische Anwendung, u.a.: Bildgebung und -akquisition, Sichtbares Licht, Endoskopie, Mikroskopie, Visualisierung und Animation, Patientenindividuelle Simulation und Planung, Computerunterstützte Diagnose, Biomechanische Modellierung, Computergestützte Operationsplanung, Bildverarbeitung in der Telemedizin, Bildgestützte Roboter und Chirurgische Simulatoren.

A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis

A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis
Author: Heike Hufnagel
Publisher: Springer Science & Business Media
Total Pages: 162
Release: 2011-11-23
Genre: Technology & Engineering
ISBN: 3834886009

Heike Hufnagel develops a mathematically sound statistical shape model. Due to the particular attributes of the model, the challenging integration of explicit and implicit representations can be performed in an elegant mathematical formulation, thus combining the advantages of both explicit model and implicit segmentation method.

Towards Ultrasound-guided Spinal Fusion Surgery

Towards Ultrasound-guided Spinal Fusion Surgery
Author: Amir Manbachi
Publisher: Springer
Total Pages: 104
Release: 2016-04-23
Genre: Technology & Engineering
ISBN: 3319298321

This thesis describes the design and fabrication of ultrasound probes for pedicle screw guidance. The author details the fabrication of a 2MHz radial array for a pedicle screw insertion eliminating the need for manual rotation of the transducer. He includes radial images obtained from successive groupings of array elements in various fluids. He also examines the manner in which it can affect ultrasound propagation.

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009
Author: Guang-Zhong Yang
Publisher: Springer
Total Pages: 1078
Release: 2009-10-01
Genre: Computers
ISBN: 3642042686

The two-volume set LNCS 5761 and LNCS 5762 constitute the refereed proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009, held in London, UK, in September 2009. Based on rigorous peer reviews, the program committee carefully selected 259 revised papers from 804 submissions for presentation in two volumes. The first volume includes 125 papers divided in topical sections on cardiovascular image guided intervention and robotics; surgical navigation and tissue interaction; intra-operative imaging and endoscopic navigation; motion modelling and image formation; image registration; modelling and segmentation; image segmentation and classification; segmentation and atlas based techniques; neuroimage analysis; surgical navigation and robotics; image registration; and neuroimage analysis: structure and function.

World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany

World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany
Author: Olaf Dössel
Publisher: Springer Science & Business Media
Total Pages: 403
Release: 2010-01-06
Genre: Technology & Engineering
ISBN: 3642039049

Present Your Research to the World! The World Congress 2009 on Medical Physics and Biomedical Engineering – the triennial scientific meeting of the IUPESM - is the world’s leading forum for presenting the results of current scientific work in health-related physics and technologies to an international audience. With more than 2,800 presentations it will be the biggest conference in the fields of Medical Physics and Biomedical Engineering in 2009! Medical physics, biomedical engineering and bioengineering have been driving forces of innovation and progress in medicine and healthcare over the past two decades. As new key technologies arise with significant potential to open new options in diagnostics and therapeutics, it is a multidisciplinary task to evaluate their benefit for medicine and healthcare with respect to the quality of performance and therapeutic output. Covering key aspects such as information and communication technologies, micro- and nanosystems, optics and biotechnology, the congress will serve as an inter- and multidisciplinary platform that brings together people from basic research, R&D, industry and medical application to discuss these issues. As a major event for science, medicine and technology the congress provides a comprehensive overview and in–depth, first-hand information on new developments, advanced technologies and current and future applications. With this Final Program we would like to give you an overview of the dimension of the congress and invite you to join us in Munich! Olaf Dössel Congress President Wolfgang C.

Modified Mass-spring System for Physically Based Deformation Modeling

Modified Mass-spring System for Physically Based Deformation Modeling
Author: Oussama Jarrousse
Publisher: KIT Scientific Publishing
Total Pages: 244
Release: 2014-09
Genre: Technology & Engineering
ISBN: 3866447426

Mass-spring systems are considered the simplest and most intuitive of all deformable models. They are computationally efficient, and can handle large deformations with ease. But they suffer several intrinsic limitations. In this book a modified mass-spring system for physically based deformation modeling that addresses the limitations and solves them elegantly is presented. Several implementations in modeling breast mechanics, heart mechanics and for elastic images registration are presented.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
Author: Alejandro F. Frangi
Publisher: Springer
Total Pages: 918
Release: 2018-09-13
Genre: Computers
ISBN: 3030009289

The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018. The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections: Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histology Applications; Microscopy Applications; Optical Coherence Tomography and Other Optical Imaging Applications. Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications: Colorectal, Kidney and Liver Imaging Applications; Lung Imaging Applications; Breast Imaging Applications; Other Abdominal Applications. Part III: Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods. Part IV: Computer Assisted Intervention: Image Guided Interventions and Surgery; Surgical Planning, Simulation and Work Flow Analysis; Visualization and Augmented Reality. Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications; Multi-Organ Segmentation; Abdominal Segmentation Methods; Cardiac Segmentation Methods; Chest, Lung and Spine Segmentation; Other Segmentation Applications.

Deep Learning and Convolutional Neural Networks for Medical Image Computing

Deep Learning and Convolutional Neural Networks for Medical Image Computing
Author: Le Lu
Publisher: Springer
Total Pages: 327
Release: 2017-07-12
Genre: Computers
ISBN: 331942999X

This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.