Personalized Optimal Planning for the Surgical Correction of Metopic Craniosynostosis.

Personalized Optimal Planning for the Surgical Correction of Metopic Craniosynostosis.
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异位颅缝早闭手术矫正的个性化最佳规划。

DOI:
10.1007/978-3-319-46472-5_8
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发表时间:
2016
期刊:
Clinical image-based procedures : from planning to intervention : international workshop, CLIP ..., held in conjunction with MICCAI ... : revised selected papers. CLIP (Workshop)
影响因子:
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通讯作者:
Linguraru,MariusGeorge
Linguraru,MariusGeorge
中科院分区:
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文献类型:
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作者:
Porras,AntonioR;Zukic,D;Equobahrie,A;Rogers,GaryF;Linguraru,MariusGeorge

文献摘要

相似文献

我们介绍了一种定量和自动化的方法,通过额眶前移手术进行个性化的颅骨形状重塑。本文建立在一个客观的方法自动量化的畸形所造成的颅缝早闭儿童,并提出了一个框架,个性化的介入计划。首先,使用正常颅骨形状的统计图谱客观地量化颅骨畸形。然后,我们提出了一种基于多刚体图像配准的方法,该方法考虑了额眶推进的临床协议和颅骨中的物理约束,以计划创建最佳的手术后形状。我们的自动手术计划技术旨在最大限度地减少颅骨畸形。该方法被用于计算11名年龄为3.8 ± 3.0个月的患有颅缝早闭和颅骨畸形的婴儿的最佳形状。为每例患者提供的术后颅骨形状显示,额颅骨畸形显著平均减少49%,并实现了畸形在健康范围内的形状。据我们所知,这是第一个工作,提出了一个自动的框架,为颅缝早闭治疗的客观和个性化的手术计划。
We introduce a quantitative and automated method for personalized cranial shape remodeling via fronto-orbital advancement surgery. This paper builds on an objective method for automatic quantification of malformations caused by metopic craniosynostosis in children and presents a framework for personalized interventional planning. First, skull malformations are objectively quantified using a statistical atlas of normal cranial shapes. Then, we propose a method based on poly-rigid image registration that takes into account both the clinical protocol for fronto-orbital advancement and the physical constraints in the skull to plan the creation of the optimal post-surgical shape. Our automated surgical planning technique aims to minimize cranial malformations. The method was used to calculate the optimal shape for 11 infants with age 3.8 ± 3.0 month old presenting metopic craniosynostosis and cranial malformations. The post-surgical cranial shape provided for each patient presented a significant average malformation reduction of 49 % in the frontal cranial bones, and achieved shapes whose malformations were within healthy ranges. To our knowledge, this is the first work that presents an automatic framework for an objective and personalized surgical planning for craniosynostosis treatment.