Visualization of Needle Access Pathway and a Five-DoF Evaluation

Chan, Wing Shing; Heng, Pheng‐Ann

doi:10.1109/jbhi.2013.2275741

Cited by 10 publications

(1 citation statement)

References 22 publications

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“…Second, as the current navigation system displays both real and virtual contents in 2D, the spatial tool alignment requires depth testing [32] that could be time-consuming for an inexperienced user. This explains the significant difference in alignment time measured for author group compared to the volunteer group.…”

Section: Limitation and Future Workmentioning

confidence: 99%

Markerless Navigation System for Orthopaedic Knee Surgery: A Proof of Concept Study

Baena

2021

IEEE Access

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Current computer-assisted surgical navigation systems mainly rely on optical markers screwed into the bone for anatomy tracking. The insertion of these percutaneous markers increases operating complexity and causes additional harm to the patient. A markerless tracking and registration algorithm has recently been proposed to avoid anatomical markers for knee surgery. The femur points were directly segmented from the recorded RGBD scene by a neural network and then registered to a pre-scanned femur model for the real-time pose. However, in a practical setup such a method can produce unreliable registration results, especially in rotation. Furthermore, its potential application in surgical navigation has not been demonstrated. In this paper, we first improved markerless registration accuracy by adopting a bounded-ICP (BICP) technique, where an estimate of the remote hip centre, acquired also in a markerless way, was employed to constrain distal femur alignment. Then, a proof-of-concept markerless navigation system was proposed to assist in typical knee drilling tasks. Two example setups for global anchoring were proposed and tested on a phantom leg. Our BICP-based markerless tracking and registration method has better angular accuracy and stability than the original method, bringing our straightforward, less invasive markerless navigation approach one step closer to clinical application. According to user tests, our proposed optically anchored navigation system achieves comparable accuracy with the state-of-the-art (3.64±1.49 mm in position and 2.13±0.81 • in orientation). Conversely, our visually anchored, optical tracker-free setup has a lower accuracy (5.86±1.63 mm in position and 4.18±1.44 • in orientation), but is more cost-effective and flexible in the operating room.INDEX TERMS Computer-assisted orthopaedic surgery, hip centre measurement, markerless registration, surgical navigation.

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Section: Limitation and Future Workmentioning

confidence: 99%

Markerless Navigation System for Orthopaedic Knee Surgery: A Proof of Concept Study

Baena

2021

IEEE Access

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Mixed reality based respiratory liver tumor puncture navigation

Liao

et al. 2019

Comp. Visual Media

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This paper presents a novel mixed reality based navigation system for accurate respiratory liver tumor punctures in radiofrequency ablation (RFA). Our system contains an optical see-through head-mounted display device (OST-HMD), Microsoft HoloLens for perfectly overlaying the virtual information on the patient, and a optical tracking system NDI Polaris for calibrating the surgical utilities in the surgical scene. Compared with traditional navigation method with CT, our system aligns the virtual guidance information and real patient and real-timely updates the view of virtual guidance via a position tracking system. In addition, to alleviate the difficulty during needle placement induced by respiratory motion, we reconstruct the patientspecific respiratory liver motion through statistical motion model to assist doctors precisely puncture liver tumors. The proposed system has been experimentally validated on vivo pigs with an accurate real-time registration approximately 5-mm mean FRE and TRE, which has the potential to be applied in clinical RFA guidance.

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Infrared needle mapping to assist biopsy procedures and training

Shar

Leis

Coucher

2018

Healthc. technol. lett.

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A computed tomography (CT) biopsy is a radiological procedure which involves using a needle to withdraw tissue or a fluid specimen from a lesion of interest inside a patient's body. The needle is progressively advanced into the patient's body, guided by the most recent CT scan. CT guided biopsies invariably expose patients to high dosages of radiation, due to the number of scans required whilst the needle is advanced. This study details the design of a novel method to aid biopsy procedures using infrared cameras. Two cameras are used to image the biopsy needle area, from which the proposed algorithm computes an estimate of the needle endpoint, which is projected onto the CT image space. This estimated position may be used to guide the needle between scans, and results in a reduction in the number of CT scans that need to be performed during the biopsy procedure. The authors formulate a 2D augmentation system which compensates for camera pose, and show that multiple low-cost infrared imaging devices provide a promising approach.

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Visualization of Needle Access Pathway and a Five-DoF Evaluation

Cited by 10 publications

References 22 publications

Markerless Navigation System for Orthopaedic Knee Surgery: A Proof of Concept Study

Markerless Navigation System for Orthopaedic Knee Surgery: A Proof of Concept Study

Mixed reality based respiratory liver tumor puncture navigation

Infrared needle mapping to assist biopsy procedures and training

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