Virtual reality surgery simulation: A survey on patient specific solution

This source preferred by Jian Chang, Xiaosong Yang and Jian Jun Zhang

This data was imported from Scopus:

Authors: Zhang, J., Chang, J., Yang, X. and Zhang, J.J.

Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume: 10582 LNCS

Pages: 220-233

eISSN: 1611-3349

ISBN: 9783319694863

ISSN: 0302-9743

DOI: 10.1007/978-3-319-69487-0_16

© 2017, Springer International Publishing AG. For surgeons, the precise anatomy structure and its dynamics are important in the surgery interaction, which is critical for generating the immersive experience in VR based surgical training applications. Presently, a normal therapeutic scheme might not be able to be straightforwardly applied to a specific patient, because the diagnostic results are based on averages, which result in a rough solution. Patient Specific Modeling (PSM), using patient-specific medical image data (e.g. CT, MRI, or Ultrasound), could deliver a computational anatomical model. It provides the potential for surgeons to practice the operation procedures for a particular patient, which will improve the accuracy of diagnosis and treatment, thus enhance the prophetic ability of VR simulation framework and raise the patient care. This paper presents a general review based on existing literature of patient specific surgical simulation on data acquisition, medical image segmentation, computational mesh generation, and soft tissue real time simulation.

The data on this page was last updated at 04:43 on March 22, 2018.