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Titlebook: Information Processing in Medical Imaging; 20th International C Nico Karssemeijer,Boudewijn Lelieveldt Conference proceedings 2007 Springer

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书目名称Information Processing in Medical Imaging
副标题20th International C
编辑Nico Karssemeijer,Boudewijn Lelieveldt
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Information Processing in Medical Imaging; 20th International C Nico Karssemeijer,Boudewijn Lelieveldt Conference proceedings 2007 Springer
描述The 20th International Conference on Information Processing in Medical Im- ing(IPMI)washeldduringJuly2–6,2007,atRolducAbbey,locatedinKerkrade in the south of the Netherlands. Following the highly successful IPMI in Gl- wood Springs in the Rocky Mountains, Colorado, USA (2005), the conference was the latest in a series of biennial scienti?c meetings where new developments in acquisition, analysis, and use of medical images are presented. IPMI is one of the longest running conferences in medical imaging. It was started in 1969 by a group of young scientists working in nuclear medicine. With a few iterations the conference expanded to other areas and became established as an important meeting for in-depth discussion of new methodological developments in me- cal imaging. Nowadays it is widely recognized as one of the most exciting and in?uential conferences in its ?eld. At IPMI meetings a wide variety of topics are covered by a relatively small selection of papers presented in single-track sessions. This year, there were 210 manuscripts submitted to the conference. Of these papers, 26 were accepted for oral presentation, and 37 papers were accepted as posters. Papers were ca- fully jud
出版日期Conference proceedings 2007
关键词3D; Augmented Reality; Bayesian estimation; Mapping; brain imaging; cardiac diagnosiscomputer aided diagn
版次1
doihttps://doi.org/10.1007/978-3-540-73273-0
isbn_softcover978-3-540-73272-3
isbn_ebook978-3-540-73273-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2007
The information of publication is updating

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Lung Nodule Detection Via Bayesian Voxel Labelingar care taken in the objective establishment of prior probabilities and the incorporation of relevant medical knowledge. We provide, under explicit modeling assumptions, closed-form expressions for all the probability distributions involved. The technique is applied to real data, and we present a discussion of its performance.
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Rao-Blackwellized Marginal Particle Filtering for Multiple Object Tracking in Molecular Bioimagingd real fluorescence microscopy image data acquired for microtubule dynamics studies show that the technique is more robust to noise, photobleaching, and object interaction than common tracking methods and yields results that are in good agreement with expert cell biologists.
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Spine Detection and Labeling Using a Parts-Based Graphical Modelart-based localization of anatomical structures which embeds contextual shape knowledge in a probabilistic graphical model. It allows for robust detection even when some of the part detections are missing. The application scenario for our statistical evaluation is spine detection and labeling in magnetic resonance images.
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Digital Homeomorphisms in Deformable Registrationc concepts in continuous spaces commonly used in medical imaging. We review the differences and problems brought by considering functions defined on a discrete grid, and propose a practical criterion for enforcing digital homeomorphisms in the context of atlas-based segmentation.
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Adaptive Non-rigid Registration of Real Time 3D Ultrasound to Cardiovascular MR Imagesaximize the phase-based similarity measure by optimizing the parameters of the polyaffine transformation. Registration results have demonstrated that this novel method is superior to our prior work [1], yielding an accurate registration to local cardiac regions.
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