Abstract：
PURPOSE:In the past decade, augmented reality systems have been expected to support surgical operations by making it possible to view invisible objects that are inside or occluded by the skull, hands, or organs. However, the properties of biological tissues that are non-rigid and featureless require a large number of distributed features to track the movement of tissues in detail. METHODS:With the goal of increasing the number of feature points in organ tracking, we propose a feature detection using multi-band and narrow-band imaging and a new band selection method. The depth of light penetration into an object depends on the wavelength of light based on optical characteristics. We applied typical feature detectors to detect feature points using three selected bands in a human hand. To consider surgical situations, we applied our method to a chicken liver with a variety of light conditions. RESULTS:Our experimental results revealed that the image of each band exhibited a different distribution of feature points. In addition, the total number of feature points determined by the proposed method exceeded that of the R, G, and B images obtained using a normal camera. The results using a chicken liver with various light sources and intensities also show different distributions with each selected band. CONCLUSIONS:We have proposed a feature detection method using multi-band and narrow-band imaging and a band selection method. The results of our experiments confirmed that the proposed method increased the number of distributed feature points. The proposed method was also effective for different light conditions.
journal_name
Int J Comput Assist Radiol Surgauthors
Tamura Y,Mashita T,Kuroda Y,Kiyokawa K,Takemura Hdoi
10.1007/s11548-016-1458-4subject
Has Abstractpub_date
2016-12-01 00:00:00pages
2173-2183issue
12eissn
1861-6410issn
1861-6429pii
10.1007/s11548-016-1458-4journal_volume
11pub_type
杂志文章abstract：PURPOSE:Knee arthroscopy suffers from a lack of depth information and easy occlusion of the visual field. To solve these limitations, we propose an arthroscopic navigation system based on self-positioning technology, with the guidance of virtual-vision views. This system can work without any external tracking devices o...
journal_title：International journal of computer assisted radiology and surgery
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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：2016-01-01 00:00:00
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journal_title：International journal of computer assisted radiology and surgery
pub_type： 已发布勘误
doi：10.1007/s11548-020-02119-w
更新日期：2020-03-01 00:00:00
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journal_title：International journal of computer assisted radiology and surgery
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pub_type： 杂志文章
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journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
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pub_type： 杂志文章
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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
pub_type： 杂志文章
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更新日期：2017-09-01 00:00:00
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pub_type： 杂志文章
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更新日期：2013-11-01 00:00:00
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pub_type： 杂志文章
doi：10.1007/s11548-019-01928-y
更新日期：2019-10-01 00:00:00
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pub_type： 杂志文章
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更新日期：2009-06-01 00:00:00
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journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-013-0957-9
更新日期：2014-07-01 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：2010-07-01 00:00:00
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journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-016-1501-5
更新日期：2017-03-01 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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journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
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journal_title：International journal of computer assisted radiology and surgery
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更新日期：2017-07-01 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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journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-018-1799-2
更新日期：2018-08-01 00:00:00
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journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-015-1329-4
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journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-016-1444-x
更新日期：2017-01-01 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：2020-05-01 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：2012-11-01 00:00:00
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journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-011-0558-4
更新日期：2011-11-01 00:00:00
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 anal...
journal_title：International journal of computer assisted radiology and surgery
pub_type： 杂志文章
doi：10.1007/s11548-016-1495-z
更新日期：2017-03-01 00:00:00
