Development and clinical evaluation of a contactless operating interface for three-dimensional image-guided navigation for endovascular neurosurgery

Nishihori, Masahiro; Izumi, Tohru; Nagano, Yasutaka; Satō, Masaki; Tsukada, Tetsuya; Kropp, Asuka Elisabeth; Wakabayashi, Toshihiko

doi:10.1007/s11548-021-02330-3

Cited by 7 publications

(1 citation statement)

References 14 publications

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“…These functions can enhance the convenience for and efficiency of the surgeon. Nishihori et al accessed a contactless operating interface for 3D image-guided navigation and showed some benefits [ 145 ]. However, Nishihori needed additional devices like Kinect to perform gesture recognition and use voice recognition software.…”

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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Gesture recognition using deep-learning in single-pixel-imaging with high-frame-rate display with latent random dot patterns

Takatsuka,

Yasugi,

Suyama

et al. 2023

Opt Rev

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Multimodal human–computer interaction in interventional radiology and surgery: a systematic literature review

Schreiter,

Heinrich,

Hatscher

et al. 2024

Int J CARS

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Purpose As technology advances, more research dedicated to medical interactive systems emphasizes the integration of touchless and multimodal interaction (MMI). Particularly in surgical and interventional settings, this approach is advantageous because it maintains sterility and promotes a natural interaction. Past reviews have focused on investigating MMI in terms of technology and interaction with robots. However, none has put particular emphasis on analyzing these kind of interactions for surgical and interventional scenarios. Methods Two databases were included in the query to search for relevant publications within the past 10 years. After identification, two screening steps followed which included eligibility criteria. A forward/backward search was added to identify more relevant publications. The analysis incorporated the clustering of references in terms of addressed medical field, input and output modalities, and challenges regarding the development and evaluation. Results A sample of 31 references was obtained (16 journal articles, 15 conference papers). MMI was predominantly developed for laparoscopy and radiology and interaction with image viewers. The majority implemented two input modalities, with voice-hand interaction being the most common combination—voice for discrete and hand for continuous navigation tasks. The application of gaze, body, and facial control is minimal, primarily because of ergonomic concerns. Feedback was included in 81% publications, of which visual cues were most often applied. Conclusion This work systematically reviews MMI for surgical and interventional scenarios over the past decade. In future research endeavors, we propose an enhanced focus on conducting in-depth analyses of the considered use cases and the application of standardized evaluation methods. Moreover, insights from various sectors, including but not limited to the gaming sector, should be exploited.

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Development and clinical evaluation of a contactless operating interface for three-dimensional image-guided navigation for endovascular neurosurgery

Cited by 7 publications

References 14 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

Gesture recognition using deep-learning in single-pixel-imaging with high-frame-rate display with latent random dot patterns

Multimodal human–computer interaction in interventional radiology and surgery: a systematic literature review

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