Tissue deformation and shape models in image-guided interventions: a discussion paper.

Hawkes DJ; Barratt D; Blackall JM; Chan C; Edwards PJ; Rhode K; Penney GP; McClelland J; Hill DL

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Tissue deformation and shape models in image-guided interventions: a discussion paper.

机译：图像引导干预中的组织变形和形状模型：讨论文件。

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This paper promotes the concept of active models in image-guided interventions. We outline the limitations of the rigid body assumption in image-guided interventions and describe how intraoperative imaging provides a rich source of information on spatial location of anatomical structures and therapy devices, allowing a preoperative plan to be updated during an intervention. Soft tissue deformation and variation from an atlas to a particular individual can both be determined using non-rigid registration. Established methods using free-form deformations have a very large number of degrees of freedom. Three examples of deformable models--motion models, biomechanical models and statistical shape models--are used to illustrate how prior information can be used to restrict the number of degrees of freedom of the registration algorithm and thus provide active models for image-guided interventions. We provide preliminary results from applications for each type of model.

机译：本文提出了图像引导干预中主动模型的概念。我们概述了以图像为指导的干预措施中刚体假设的局限性，并描述了术中成像如何提供有关解剖结构和治疗设备的空间位置的丰富信息源，从而允许在干预过程中更新术前计划。可以使用非刚性配准来确定软组织的变形以及从图集到特定个体的变化。建立的使用自由形式变形的方法具有很大的自由度。变形模型的三个示例-运动模型，生物力学模型和统计形状模型-用于说明先验信息如何用于限制配准算法的自由度数量，从而为图像引导干预提供有效模型。我们为每种模型提供了来自应用程序的初步结果。

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《Medical image analysis》 |2005年第2期|共13页
作者
Hawkes DJ; Barratt D; Blackall JM; Chan C; Edwards PJ; Rhode K; Penney GP; McClelland J; Hill DL;
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正文语种 eng
中图分类临床医学;
关键词
Algorithms; Connective Tissue; Image Enhancement; Image Interpretation; Computer-Assisted; 算法; 结缔组织; 图像增强; 图像解释; 计算机辅助; 模型; 生物学; 减影技术;

机译：Algorithms;Connective Tissue;Image Enhancement;Image Interpretation;Computer-Assisted;算法;结缔组织;图像增强;图像解释;计算机辅助;模型;生物学;减影技术;

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Tissue deformation and shape models in image-guided interventions: a discussion paper.

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