Modern Image-Guided Surgery: A Narrative Review of Medical Image Processing and Visualization

Medical image analysis forms the basis of image-guided surgery (IGS) and many of its fundamental tasks. Driven by the growing number of medical imaging modalities, the research community of medical imaging has developed methods and achieved functionality breakthroughs. However, with the overwhelming...

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Vydáno v:Sensors (Basel, Switzerland) Ročník 23; číslo 24; s. 9872
Hlavní autoři: Lin, Zhefan, Lei, Chen, Yang, Liangjing
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland MDPI AG 01.12.2023
MDPI
Témata:
3D visual interface
augmented/mixed/virtual reality
Image processing
image-guided surgery
medical image processing
Medical imaging equipment
Navigation systems
Registration
Review
Surgeons
Surgery
surgical navigation
Surgical outcomes
Virtual reality
Visualization
Germany
image-guided surgery
3D visual interface
surgical navigation
medical image processing
augmented/mixed/virtual reality
ISSN:1424-8220, 1424-8220
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Abstract Medical image analysis forms the basis of image-guided surgery (IGS) and many of its fundamental tasks. Driven by the growing number of medical imaging modalities, the research community of medical imaging has developed methods and achieved functionality breakthroughs. However, with the overwhelming pool of information in the literature, it has become increasingly challenging for researchers to extract context-relevant information for specific applications, especially when many widely used methods exist in a variety of versions optimized for their respective application domains. By being further equipped with sophisticated three-dimensional (3D) medical image visualization and digital reality technology, medical experts could enhance their performance capabilities in IGS by multiple folds. The goal of this narrative review is to organize the key components of IGS in the aspects of medical image processing and visualization with a new perspective and insights. The literature search was conducted using mainstream academic search engines with a combination of keywords relevant to the field up until mid-2022. This survey systemically summarizes the basic, mainstream, and state-of-the-art medical image processing methods as well as how visualization technology like augmented/mixed/virtual reality (AR/MR/VR) are enhancing performance in IGS. Further, we hope that this survey will shed some light on the future of IGS in the face of challenges and opportunities for the research directions of medical image processing and visualization.
AbstractList Medical image analysis forms the basis of image-guided surgery (IGS) and many of its fundamental tasks. Driven by the growing number of medical imaging modalities, the research community of medical imaging has developed methods and achieved functionality breakthroughs. However, with the overwhelming pool of information in the literature, it has become increasingly challenging for researchers to extract context-relevant information for specific applications, especially when many widely used methods exist in a variety of versions optimized for their respective application domains. By being further equipped with sophisticated three-dimensional (3D) medical image visualization and digital reality technology, medical experts could enhance their performance capabilities in IGS by multiple folds. The goal of this narrative review is to organize the key components of IGS in the aspects of medical image processing and visualization with a new perspective and insights. The literature search was conducted using mainstream academic search engines with a combination of keywords relevant to the field up until mid-2022. This survey systemically summarizes the basic, mainstream, and state-of-the-art medical image processing methods as well as how visualization technology like augmented/mixed/virtual reality (AR/MR/VR) are enhancing performance in IGS. Further, we hope that this survey will shed some light on the future of IGS in the face of challenges and opportunities for the research directions of medical image processing and visualization.Medical image analysis forms the basis of image-guided surgery (IGS) and many of its fundamental tasks. Driven by the growing number of medical imaging modalities, the research community of medical imaging has developed methods and achieved functionality breakthroughs. However, with the overwhelming pool of information in the literature, it has become increasingly challenging for researchers to extract context-relevant information for specific applications, especially when many widely used methods exist in a variety of versions optimized for their respective application domains. By being further equipped with sophisticated three-dimensional (3D) medical image visualization and digital reality technology, medical experts could enhance their performance capabilities in IGS by multiple folds. The goal of this narrative review is to organize the key components of IGS in the aspects of medical image processing and visualization with a new perspective and insights. The literature search was conducted using mainstream academic search engines with a combination of keywords relevant to the field up until mid-2022. This survey systemically summarizes the basic, mainstream, and state-of-the-art medical image processing methods as well as how visualization technology like augmented/mixed/virtual reality (AR/MR/VR) are enhancing performance in IGS. Further, we hope that this survey will shed some light on the future of IGS in the face of challenges and opportunities for the research directions of medical image processing and visualization.
Medical image analysis forms the basis of image-guided surgery (IGS) and many of its fundamental tasks. Driven by the growing number of medical imaging modalities, the research community of medical imaging has developed methods and achieved functionality breakthroughs. However, with the overwhelming pool of information in the literature, it has become increasingly challenging for researchers to extract context-relevant information for specific applications, especially when many widely used methods exist in a variety of versions optimized for their respective application domains. By being further equipped with sophisticated three-dimensional (3D) medical image visualization and digital reality technology, medical experts could enhance their performance capabilities in IGS by multiple folds. The goal of this narrative review is to organize the key components of IGS in the aspects of medical image processing and visualization with a new perspective and insights. The literature search was conducted using mainstream academic search engines with a combination of keywords relevant to the field up until mid-2022. This survey systemically summarizes the basic, mainstream, and state-of-the-art medical image processing methods as well as how visualization technology like augmented/mixed/virtual reality (AR/MR/VR) are enhancing performance in IGS. Further, we hope that this survey will shed some light on the future of IGS in the face of challenges and opportunities for the research directions of medical image processing and visualization.
Audience Academic
Author Lei, Chen
Lin, Zhefan
Yang, Liangjing
AuthorAffiliation 2 ZJU-UIUC Institute, International Campus, Zhejiang University, Haining 314400, China; chen2.22@intl.zju.edu.cn
1 School of Mechanical Engineering, Zhejiang University, Hangzhou 310030, China; zhefan.21@intl.zju.edu.cn
AuthorAffiliation_xml – name: 2 ZJU-UIUC Institute, International Campus, Zhejiang University, Haining 314400, China; chen2.22@intl.zju.edu.cn
– name: 1 School of Mechanical Engineering, Zhejiang University, Hangzhou 310030, China; zhefan.21@intl.zju.edu.cn
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  surname: Lin
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  fullname: Lei, Chen
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  surname: Yang
  fullname: Yang, Liangjing
BackLink https://www.ncbi.nlm.nih.gov/pubmed/38139718$$D View this record in MEDLINE/PubMed
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3D visual interface
surgical navigation
medical image processing
augmented/mixed/virtual reality
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Snippet Medical image analysis forms the basis of image-guided surgery (IGS) and many of its fundamental tasks. Driven by the growing number of medical imaging...
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SubjectTerms 3D visual interface
augmented/mixed/virtual reality
Image processing
image-guided surgery
medical image processing
Medical imaging equipment
Navigation systems
Registration
Review
Surgeons
Surgery
surgical navigation
Surgical outcomes
Virtual reality
Visualization
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Title Modern Image-Guided Surgery: A Narrative Review of Medical Image Processing and Visualization
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