Abstract:
PURPOSE:Laser range scanners (LRS) allow performing a surface scan without physical contact with the organ, yielding higher registration accuracy for image-guided surgery (IGS) systems. However, the use of LRS-based registration in laparoscopic liver surgery is still limited because current solutions are composed of expensive and bulky equipment which can hardly be integrated in a surgical scenario. METHODS:In this work, we present a novel LRS-based IGS system for laparoscopic liver procedures. A triangulation process is formulated to compute the 3D coordinates of laser points by using the existing IGS system tracking devices. This allows the use of a compact and cost-effective LRS and therefore facilitates the integration into the laparoscopic setup. The 3D laser points are then reconstructed into a surface to register to the preoperative liver model using a multi-level registration process. RESULTS:Experimental results show that the proposed system provides submillimeter scanning precision and accuracy comparable to those reported in the literature. Further quantitative analysis shows that the proposed system is able to achieve a patient-to-image registration accuracy, described as target registration error, of [Formula: see text]. CONCLUSIONS:We believe that the presented approach will lead to a faster integration of LRS-based registration techniques in the surgical environment. Further studies will focus on optimizing scanning time and on the respiratory motion compensation.
journal_name
Int J Comput Assist Radiol Surgauthors
Fusaglia M,Hess H,Schwalbe M,Peterhans M,Tinguely P,Weber S,Lu Hdoi
10.1007/s11548-015-1309-8subject
Has Abstractpub_date
2016-08-01 00:00:00pages
1499-513issue
8eissn
1861-6410issn
1861-6429pii
10.1007/s11548-015-1309-8journal_volume
11pub_type
杂志文章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
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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
doi:10.1007/s11548-011-0641-x
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-019-02099-6
更新日期:2020-03-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-009-0366-2
更新日期:2009-11-01 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/s11548-008-0258-x
更新日期:2009-03-01 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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更新日期:2014-07-01 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:2019-09-01 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/s11548-010-0498-4
更新日期:2010-09-01 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:2020-11-01 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:2020-12-01 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:2011-11-01 00:00:00
abstract:PURPOSE:Convolutional neural networks (CNNs) have obtained enormous success in liver segmentation. However, there are several challenges, including low-contrast images, and large variations in the shape, and appearance of the liver. Incorporating prior knowledge in deep CNN models improves their performance and general...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-019-02085-y
更新日期:2020-02-01 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/s11548-018-1883-7
更新日期:2019-01-01 00:00:00
abstract:PURPOSE:Patient-specific quantitative assessments of muscle mass and biomechanical musculoskeletal simulations require segmentation of the muscles from medical images. The objective of this work is to automate muscle segmentation from CT data of the hip and thigh. METHOD:We propose a hierarchical multi-atlas method in...
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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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-013-0973-9
更新日期:2014-09-01 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/s11548-020-02254-4
更新日期:2020-11-01 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/s11548-015-1228-8
更新日期:2016-01-01 00:00:00
abstract:PURPOSE:Deep brain stimulation (DBS) is a surgical procedure for treating motor-related neurological disorders. DBS clinical efficacy hinges on precise surgical planning and accurate electrode placement, which in turn call upon several image processing and visualization tasks, such as image registration, image segmenta...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-014-1007-y
更新日期:2015-02-01 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:2015-02-01 00:00:00
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更新日期:2018-06-01 00:00:00
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更新日期:2018-06-01 00:00:00
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更新日期:2012-07-01 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:2010-01-01 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: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
doi:10.1007/s11548-015-1311-1
更新日期:2016-05-01 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/s11548-010-0495-7
更新日期:2011-03-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-010-0413-z
更新日期:2010-09-01 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:2021-01-01 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/s11548-015-1239-5
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: 杂志文章
doi:10.1007/s11548-013-0921-8
更新日期:2014-03-01 00:00:00