Review on vision‐based tracking in surgical navigation

Yang, L.; Kobayashi, Etsuko

doi:10.1049/iet-csr.2020.0013

Cited by 9 publications

(6 citation statements)

References 77 publications

(143 reference statements)

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“…Many features, strategies and state-of-the-art camera-based visual tracking methods have been reviewed and surveyed in [ 74 , 75 , 76 , 77 , 78 , 79 ]. In the medical domain, vision-based and marker-less surgical tool detection and tracking methods were reviewed in [ 80 , 81 , 82 ]. Other object tracking methods based on intraoperative imaging modalities include fluoroscopy-based [ 83 , 84 ], ultrasonography-based [ 85 , 86 ], and hybrid multimodalities [ 87 , 88 ], which combine ultrasound and endoscopic vision-based tracking as shown in Figure 3 .…”

Section: Resultsmentioning

confidence: 99%

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

Lin,

Lei,

Yang

2023

Sensors

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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.

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Section: Resultsmentioning

confidence: 99%

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

Lin,

Lei,

Yang

2023

Sensors

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“…[4]. In the field of automated production for automated processing, they are used for machine vision [5], target tracking and pointing, motion target trajectory measurements [6], etc. In the medical field, they are used for target tracking in surgical robots, etc.…”

Section: Introductionmentioning

confidence: 99%

Design of Backstepping Control Based on a Softsign Linear–Nonlinear Tracking Differentiator for an Electro-Optical Tracking System

Li,

Zhuang,

Wang

et al. 2024

Photonics

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To address the problems of a low tracking accuracy and slow error convergence in high-order single-input, single-output electro-optical tracking systems, a backstepping control method based on a Softsign linear–nonlinear tracking differentiator is proposed. First, a linear–nonlinear tracking differentiator is designed in conjunction with the Softsign excitation function, using its output as an approximate replacement for the conventional differentiation process. Then, this is combined with backstepping control to eliminate the “explosion of complexity” problem in conventional backstepping procedures due to repeated derivation of virtual control quantities. This reduces the workload of parameter tuning, takes into account the rapidity and stability of signal convergence, and improves the trajectory tracking performance. This method can ensure the boundedness of the system signal. The effectiveness and superiority of this control method are verified through simulations and experiments.

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“…The involvement of console surgeons enables greater communication between the 3D computer graphics model and the real-time altered navigation system pictures [3]. However, challenging visual, perceptual, and dexterous restrictions are usually present with such procedures [4]. Due mainly to the complexity of the surgical environment, MIS faces several problems such as high brightness caused by illumination devices, incomplete edge information in internal cavity images, and soft tissue bleeding affecting image acquisition during surgery [2].…”

Section: Introductionmentioning

confidence: 99%

“…Based on the camera trajectory and picture data, a map is built during the map-building session to satisfy the job requirements, using map types such as raster maps, topological maps, sparse maps, and dense maps [5]. [6][7][8][9][10][11][12]. Robotic processing of medical pictures is the most significant use of SLAM in the direction of minimally invasive surgery.…”

Section: Introduction Of Slammentioning

confidence: 99%

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SLAM-based technology to improve the impact of uneven illumination on minimally invasive surgery

Han

2023

ACE

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Due to developments in surgery, minimally invasive surgery (MIS) has become a common choice for surgical patients. Because of the small surgical incision in MIS, its postoperative effects will be less fat liquefaction, infection, splitting, numbness of the incision and weakness of the healing abdominal wall muscles compared to traditional surgery. However, many bottlenecks have been encountered in MIS, such as uneven illumination affecting the recognition of organ images. In other words, such problems are about improving the ability of Simultaneous Localization and Mapping (SLAM) to extract information about the environment. This paper summarises some relevant research on SLAM improvement methods. Scientists are now looking for more suitable methods for constructing maps of the human internal environment, including improvements on existing SLAM techniques. In the context of SLAM, what SLAM is and the history of SLAM is described. Traditional SLAM methods as well as SLAM improvement methods are also mentioned. Finally, its advantages and disadvantages are discussed, and its prospects are predicted.

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Review on vision‐based tracking in surgical navigation

Cited by 9 publications

References 77 publications

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

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

Design of Backstepping Control Based on a Softsign Linear–Nonlinear Tracking Differentiator for an Electro-Optical Tracking System

SLAM-based technology to improve the impact of uneven illumination on minimally invasive surgery

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