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 allows access to ITK functionality for non-programmers, it creates a vehicle for sharing and comparing segmentation techniques, and it serves as a visual debugger for algorithm developers. This paper describes the integration of image processing functionalities provided by the ITK into VolView, a visualization application for high performance volume rendering. A free version of this visualization application is publicly available and is available in the online version of this paper. The process for developing ITK plugins for VolView according to the publicly available API is described in detail, and an application of ITK VolView plugins to the segmentation of Abdominal Aortic Aneurysms (AAAs) is presented. The source code of the ITK plugins is also publicly available and it is included in the online version.
journal_name
Med Image Analjournal_title
Medical image analysisauthors
Martin K,Ibáñez L,Avila L,Barré S,Kaspersen JHdoi
10.1016/j.media.2005.04.009subject
Has Abstractpub_date
2005-12-01 00:00:00pages
579-93issue
6eissn
1361-8415issn
1361-8423pii
S1361-8415(05)00033-2journal_volume
9pub_type
杂志文章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
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journal_title：Medical image analysis
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journal_title：Medical image analysis
pub_type： 杂志文章,评审
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journal_title：Medical image analysis
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journal_title：Medical image analysis
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更新日期：2013-02-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
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pub_type： 社论
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更新日期：2021-01-01 00:00:00
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pub_type： 杂志文章
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journal_title：Medical image analysis
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journal_title：Medical image analysis
pub_type： 杂志文章,评审
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journal_title：Medical image analysis
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journal_title：Medical image analysis
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journal_title：Medical image analysis
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