A novel approach for intra‐operative shape acquisition of the tibio‐femoral joints using 3D laser scanning in computer assisted orthopaedic surgery

Joshi, Shreena; Rowe, Peter

doi:10.1002/rcs.1855

Cited by 2 publications

(3 citation statements)

References 31 publications

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“…A new technology utilizing laser scanning offers a quick and accurate method of acquiring bone morphology and does not rely on costly preoperative advanced imaging or additional time to paint the joint surface during surgery (Joshi and Rowe 2017). Our study sought to examine the utility of an intraoperative handheld laser scanner to acquire anatomical landmarks of the tibio-femoral joint.…”

Section: Introductionmentioning

confidence: 99%

Registration of Knee Articulating Surface Utilizing a Portable Handheld Laser Scanner: A Cadaveric Study

Meftah,

Habibi,

Goodchild

2023

Journal of Orthopaedic Experience &Amp; Innovation

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INTRODUCTION Image-based navigation systems for total knee arthroplasty (TKA) require intra-operative registration of anatomical landmarks to the pre-operative images. Unfortunately, this process is long, tedious, and involves multiple steps with an optical tracking probe to bony identify landmarks. We hypothesized that use of a handheld laser scanner can achieve an accurate and fast registration of the cartilage surface. METHODS Magnetic resonance imaging (MRI) scans were obtained for six cadavers and images were segmented to produce 3-dimenstional (3D) models of the articulating surface of the tibia and femur using commercial software (MIMICS, Materialise). A portable, hand-held laser scanner (E4D Technologies) was used to generate surface models of the same tibia and femur. An iterative closest point (ICP) algorithm was then used to align the handheld scans to the MRI scans. The accuracy of the registration fit was determined by the Root Mean Square (RMS) difference between the two surfaces. RESULTS There were a total of 72 scans. All 6 cadaveric knees were successfully registered to their MRI images with <1mm mean RMS error. The mean time for successful registration was 54 +/- 24 seconds. The inter- and intra-observer reliability were 0.92 and 0.87 respectively. CONCLUSION A handheld laser scanner can produce fast and accurate registration of the tibia and femur during a TKA. Registration was accurate within less than 1mm with multiple operators of different training. Further studies should assess in vivo accuracy of scanned bone topography and implant positioning compared to other technologies.

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Section: Introductionmentioning

confidence: 99%

Registration of Knee Articulating Surface Utilizing a Portable Handheld Laser Scanner: A Cadaveric Study

Meftah,

Habibi,

Goodchild

2023

Journal of Orthopaedic Experience &Amp; Innovation

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show abstract

Section: Introductionmentioning

confidence: 99%

“…Some studies 26 used the laser scanners to obtain the point clouds of the bone model, but it is difficult to directly obtain the bone point clouds of the patient's knee in clinical surgery since cartilage is exposed during the operation. Furthermore, some studies 35 Solution Iterative Closest Point (GO-ICP), 36 are slow and are not usually used for surgical navigation. Fast global registration 37,38 method can register efficiently, but it requires partial overlap of source point cloud and target point cloud to achieve accurate registration results, and the algorithm is unstable and random.…”

mentioning

confidence: 99%

Fusion of multimodality image and point cloud for spatial surface registration for knee arthroplasty

Liu

Yao

Zhai

et al. 2022

Robotics Computer Surgery

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Background Image‐guided computer‐aided navigation system is an indispensable part of computer assisted orthopaedic surgery. However, the location and number of fiducial markers, the time required to localise fiducial markers in existing systems affect their effectiveness. Method The study proposed that spatial surface registration between the point cloud on the surface of the fusion model based on preoperative knee MRI and CT images and the point cloud on the cartilage surface captured by intraoperative laser scanner could solve the above limitations. Results The experimental results show that the registration error of the method is less than 2 mm, but the total time from scanning the point cloud on patient's cartilage surface to registering it with the point cloud in preoperative image space is less than 2 min. Conclusion The method achieves the registration accuracy similar to existing methods without selecting anatomical corresponding points, which is of great help to the clinic.

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A novel approach for intra‐operative shape acquisition of the tibio‐femoral joints using 3D laser scanning in computer assisted orthopaedic surgery

Cited by 2 publications

References 31 publications

Registration of Knee Articulating Surface Utilizing a Portable Handheld Laser Scanner: A Cadaveric Study

Registration of Knee Articulating Surface Utilizing a Portable Handheld Laser Scanner: A Cadaveric Study

Fusion of multimodality image and point cloud for spatial surface registration for knee arthroplasty

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