Evaluation of AR visualization approaches for catheter insertion into the ventricle cavity

Benmahdjoub, Mohamed; Thabit, Abdullah; Veelen, Marie-Lise C. van; Niessen, Wiro J.; Wolvius, Eppo B.; Walsum, Theo van

doi:10.1109/tvcg.2023.3247042

Cited by 9 publications

(1 citation statement)

References 73 publications

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“…FIGURE 7. Translation error E T and orientation error E O calculation between the preplanned and real needle insertion paths[22].…”

mentioning

confidence: 99%

Augmented Reality and Human–Robot Collaboration Framework for Percutaneous Nephrolithotomy: System Design, Implementation, and Performance Metrics

Fu,

Pecorella,

Iovene

et al. 2024

IEEE Robot. Automat. Mag.

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During percutaneous nephrolithotomy (PCNL) operations, the surgeon is required to define the incision point on the patient's back, align the needle to a preplanned path, and perform puncture operations afterward. The procedure is currently performed manually using ultrasound or fluoroscopy imaging for needle orientation, which, however, implies limited accuracy and low reproducibility. This work incorporates augmented reality (AR) visualization with an optical see-through head-mounted display (OST-HMD) and human-robot collaboration (HRC) framework to empower the surgeon's task completion performance. In detail, eye-to-hand calibration, system registration, and hologram model registration are performed to realize visual guidance. A Cartesian impedance controller is used to guide the operator during the needle-puncture task execution. Experiments are conducted to verify the system performance com-pared with conventional manual puncture procedures and a 2D monitor-based visualization interface. The results showed that the proposed framework achieves the lowest median and standard deviation error of 3.17 ± 1.36 mm in translation and 1.2 ± .9° in orientation across all of the experimental groups, respectively. Furthermore, the National Aeronautics and Space Administration task load index (NASA-TLX) user evaluation results indicate that the proposed framework requires the lowest workload score of 42.5 ± 13.7 for task completion compared to other experimental setups. The proposed framework exhibits significant potential for clinical application in the PCNL task, as it enhances the surgeon's perception capability, facilitates collision-free needle insertion path planning, and minimizes errors in task completion.PCNL is a well-established minimally invasive surgery (MIS) procedure for accessing, locating, and removing larger

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“…FIGURE 7. Translation error E T and orientation error E O calculation between the preplanned and real needle insertion paths[22].…”

mentioning

confidence: 99%

Augmented Reality and Human–Robot Collaboration Framework for Percutaneous Nephrolithotomy: System Design, Implementation, and Performance Metrics

Fu,

Pecorella,

Iovene

et al. 2024

IEEE Robot. Automat. Mag.

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Augmented Reality in Neurosurgery

van Doormaal,

van Doormaal

2024

Advances in Experimental Medicine and Biology

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Augmented reality navigation in external ventricular drain insertion—a systematic review and meta-analysis

Buwaider,

El-Hajj,

Iop

et al. 2024

Virtual Reality

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External ventricular drain (EVD) insertion using the freehand technique is often associated with misplacements resulting in unfavorable outcomes. Augmented Reality (AR) has been increasingly used to complement conventional neuronavigation. The accuracy of AR guided EVD insertion has been investigated in several studies, on anthropomorphic phantoms, cadavers, and patients. This review aimed to assess the current knowledge and discuss potential benefits and challenges associated with AR guidance in EVD insertion. MEDLINE, EMBASE, and Web of Science were searched from inception to August 2023 for studies evaluating the accuracy of AR guidance for EVD insertion. Studies were screened for eligibility and accuracy data was extracted. The risk of bias was assessed using the Cochrane Risk of Bias Tool and the quality of evidence was assessed using the Newcastle-Ottawa-Scale. Accuracy was reported either as the average deviation from target or according to the Kakarla grading system. Of the 497 studies retrieved, 14 were included for analysis. All included studies were prospectively designed. Insertions were performed on anthropomorphic phantoms, cadavers, or patients, using several different AR devices and interfaces. Deviation from target ranged between 0.7 and 11.9 mm. Accuracy according to the Kakarla grading scale ranged between 82 and 96%. Accuracy was higher for AR compared to the freehand technique in all studies that had control groups. Current evidence demonstrates that AR is more accurate than free-hand technique for EVD insertion. However, studies are few, the technology developing, and there is a need for further studies on patients in relevant clinical settings.

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Evaluation of AR visualization approaches for catheter insertion into the ventricle cavity

Cited by 9 publications

References 73 publications

Augmented Reality and Human–Robot Collaboration Framework for Percutaneous Nephrolithotomy: System Design, Implementation, and Performance Metrics

Augmented Reality and Human–Robot Collaboration Framework for Percutaneous Nephrolithotomy: System Design, Implementation, and Performance Metrics

Augmented Reality in Neurosurgery

Augmented reality navigation in external ventricular drain insertion—a systematic review and meta-analysis

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