A review on organ deformation modeling approaches for reliable surgical navigation using augmented reality

Zheng Han ¹, Qi Dou ¹

⁰Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China.

Computer Assisted Surgery (abingdon, England) +

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September 10, 2024

View abstract on PubMed

Summary

Augmented reality (AR) surgery requires accurate organ models. This review categorizes methods for modeling intraoperative organ deformation, crucial for aligning preoperative data with real-time anatomy during surgery.

Area Of Science

Medical Imaging
Surgical Technology
Computer-Aided Surgery

Background

Augmented Reality (AR) enhances surgical visualization by overlaying preoperative models onto patient anatomy.
Intraoperative organ deformation presents a significant challenge, as static preoperative models fail to represent dynamic anatomical changes accurately.
Accurate alignment of preoperative organ models with intraoperative anatomy is essential for reliable AR-guided surgery.

Purpose Of The Study

To systematically review and categorize existing methods for modeling intraoperative organ deformation in AR-assisted surgery.
To provide a comprehensive, technical overview of these modeling approaches and their clinical relevance.
To identify current limitations and future research directions in organ deformation modeling for AR surgery.

Main Methods

Systematic literature search and screening of relevant scientific papers.
Inclusion of 112 highly relevant studies focusing on intraoperative organ deformation modeling.
Categorization and technical analysis of identified modeling methods.

Main Results

Compilation of current organ deformation modeling techniques applicable to AR surgery.
Overview of the clinical applications and advancements in the field.
Identification of key challenges and areas requiring further investigation.

Conclusions

Modeling intraoperative organ deformation is critical for advancing AR-guided surgical navigation.
A comprehensive understanding of existing methods is needed to drive future innovations.
Further research is necessary to improve the accuracy and reliability of deformation modeling in clinical practice.

Keywords:

Augmented reality non-rigid registration organ deformation modeling surgical navigation