Abstract：
:During neurosurgical procedures the objective of the neurosurgeon is to achieve the resection of as much diseased tissue as possible while achieving the preservation of healthy brain tissue. The restricted capacity of the conventional operating room to enable the surgeon to visualize critical healthy brain structures and tumor margin has lead, over the past decade, to the development of sophisticated intraoperative imaging techniques to enhance visualization. However, both rigid motion due to patient placement and nonrigid deformations occurring as a consequence of the surgical intervention disrupt the correspondence between preoperative data used to plan surgery and the intraoperative configuration of the patient's brain. Similar challenges are faced in other interventional therapies, such as in cryoablation of the liver, or biopsy of the prostate. We have developed algorithms to model the motion of key anatomical structures and system implementations that enable us to estimate the deformation of the critical anatomy from sequences of volumetric images and to prepare updated fused visualizations of preoperative and intraoperative images at a rate compatible with surgical decision making. This paper reviews the experience at Brigham and Women's Hospital through the process of developing and applying novel algorithms for capturing intraoperative deformations in support of image guided therapy.
journal_name
Med Image Analjournal_title
Medical image analysisauthors
Warfield SK,Haker SJ,Talos IF,Kemper CA,Weisenfeld N,Mewes AU,Goldberg-Zimring D,Zou KH,Westin CF,Wells WM,Tempany CM,Golby A,Black PM,Jolesz FA,Kikinis Rdoi
10.1016/j.media.2004.11.005subject
Has Abstractpub_date
2005-04-01 00:00:00pages
145-62issue
2eissn
1361-8415issn
1361-8423pii
S1361-8415(04)00071-4journal_volume
9pub_type
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journal_title：Medical image analysis
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pub_type： 杂志文章
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journal_title：Medical image analysis
pub_type： 杂志文章
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journal_title：Medical image analysis
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更新日期：2012-04-01 00:00:00
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journal_title：Medical image analysis
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pub_type： 杂志文章
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2007.04.006
更新日期：2007-12-01 00:00:00
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pub_type： 杂志文章
doi：10.1016/j.media.2020.101890
更新日期：2021-02-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
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更新日期：2013-10-01 00:00:00
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journal_title：Medical image analysis
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journal_title：Medical image analysis
pub_type： 社论
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journal_title：Medical image analysis
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journal_title：Medical image analysis
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