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Bayer S, Maier A, Ostermeier M, Fahrig R. Intraoperative Imaging Modalities and Compensation for Brain Shift in Tumor Resection Surgery. Int J Biomed Imaging 2017; 2017:6028645. [PMID: 28676821 PMCID: PMC5476838 DOI: 10.1155/2017/6028645] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2017] [Accepted: 05/03/2017] [Indexed: 11/26/2022] Open
Abstract
Intraoperative brain shift during neurosurgical procedures is a well-known phenomenon caused by gravity, tissue manipulation, tumor size, loss of cerebrospinal fluid (CSF), and use of medication. For the use of image-guided systems, this phenomenon greatly affects the accuracy of the guidance. During the last several decades, researchers have investigated how to overcome this problem. The purpose of this paper is to present a review of publications concerning different aspects of intraoperative brain shift especially in a tumor resection surgery such as intraoperative imaging systems, quantification, measurement, modeling, and registration techniques. Clinical experience of using intraoperative imaging modalities, details about registration, and modeling methods in connection with brain shift in tumor resection surgery are the focuses of this review. In total, 126 papers regarding this topic are analyzed in a comprehensive summary and are categorized according to fourteen criteria. The result of the categorization is presented in an interactive web tool. The consequences from the categorization and trends in the future are discussed at the end of this work.
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Affiliation(s)
- Siming Bayer
- Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Erlangen, Germany
| | - Andreas Maier
- Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Erlangen, Germany
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Marreiros FMM, Rossitti S, Karlsson PM, Wang C, Gustafsson T, Carleberg P, Smedby Ö. Erratum: Superficial vessel reconstruction with a Multiview camera system. J Med Imaging (Bellingham) 2016; 3:019801. [PMID: 26889495 PMCID: PMC4753828 DOI: 10.1117/1.jmi.3.1.019801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
[This corrects the article DOI: 10.1117/1.JMI.3.1.015001.].
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Affiliation(s)
- Filipe M M Marreiros
- Linköping University, Center for Medical Image Science and Visualization, Campus US, Linköping SE-581 85, Sweden; Linköping University, Department of Science and Technology-Media and Information Technology, Campus Norrköping, Norrköping SE-601 74, Sweden; Linköping University, Department of Medical and Health Sciences, Campus US, Linköping SE-581 85, Sweden
| | - Sandro Rossitti
- County Council of Östergötland , Department of Neurosurgery, Linköping University, Campus US, Linköping SE-581 85, Sweden
| | - Per M Karlsson
- County Council of Östergötland , Department of Neurosurgery, Linköping University, Campus US, Linköping SE-581 85, Sweden
| | - Chunliang Wang
- Linköping University, Center for Medical Image Science and Visualization, Campus US, Linköping SE-581 85, Sweden; Royal Institute of Technology, School of Technology and Health, Alfred Nobels Allé 10, Huddinge SE-141 52, Sweden
| | | | - Per Carleberg
- XM Reality AB , Diskettgatan 11B, Linköping SE-583 35, Sweden
| | - Örjan Smedby
- Linköping University, Center for Medical Image Science and Visualization, Campus US, Linköping SE-581 85, Sweden; Linköping University, Department of Science and Technology-Media and Information Technology, Campus Norrköping, Norrköping SE-601 74, Sweden; Linköping University, Department of Medical and Health Sciences, Campus US, Linköping SE-581 85, Sweden; Royal Institute of Technology, School of Technology and Health, Alfred Nobels Allé 10, Huddinge SE-141 52, Sweden
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