Abstract:
PURPOSE:We present a platform, GRAphical Pipeline Environment (GRAPE), to facilitate the development of patient-adaptive magnetic resonance imaging (MRI) protocols. METHODS:GRAPE is an open-source project implemented in the Qt C++ framework to enable graphical creation, execution, and debugging of real-time image analysis algorithms integrated with the MRI scanner. The platform provides the tools and infrastructure to design new algorithms, and build and execute an array of image analysis routines, and provides a mechanism to include existing analysis libraries, all within a graphical environment. The application of GRAPE is demonstrated in multiple MRI applications, and the software is described in detail for both the user and the developer. RESULTS:GRAPE was successfully used to implement and execute three applications in MRI of the brain, performed on a 3.0-T MRI scanner: (i) a multi-parametric pipeline for segmenting the brain tissue and detecting lesions in multiple sclerosis (MS), (ii) patient-specific optimization of the 3D fluid-attenuated inversion recovery MRI scan parameters to enhance the contrast of brain lesions in MS, and (iii) an algebraic image method for combining two MR images for improved lesion contrast. CONCLUSIONS:GRAPE allows graphical development and execution of image analysis algorithms for inline, real-time, and adaptive MRI applications.
journal_name
Int J Comput Assist Radiol Surgauthors
Gabr RE,Tefera GB,Allen WJ,Pednekar AS,Narayana PAdoi
10.1007/s11548-016-1495-zsubject
Has Abstractpub_date
2017-03-01 00:00:00pages
449-457issue
3eissn
1861-6410issn
1861-6429pii
10.1007/s11548-016-1495-zjournal_volume
12pub_type
杂志文章abstract:PURPOSE:This paper presents a method to use the Smart Trocars-our new surgical instrument recognition system-or any accurate localization system of surgical instrument for acquiring intraoperative surface data. Complex laparoscopic surgeries need a proper guidance system which requires registering the preoperative data...
journal_title:International journal of computer assisted radiology and surgery
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更新日期:2018-02-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
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journal_title:International journal of computer assisted radiology and surgery
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更新日期:2018-07-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
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更新日期:2018-07-01 00:00:00
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更新日期:2019-07-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
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更新日期:2017-09-01 00:00:00
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更新日期:2016-08-01 00:00:00
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更新日期:2019-12-01 00:00:00
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更新日期:2018-11-01 00:00:00
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更新日期:2016-06-01 00:00:00
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更新日期:2016-11-01 00:00:00
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doi:10.1007/s11548-018-1712-z
更新日期:2018-05-01 00:00:00
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更新日期:2020-11-01 00:00:00
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pub_type: 杂志文章
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更新日期:2019-10-01 00:00:00
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更新日期:2011-11-01 00:00:00