Limits...
Experience-based virtual training system for knee arthroscopic inspection.

Lyu SR, Lin YK, Huang ST, Yau HT - Biomed Eng Online (2013)

Bottom Line: Arthroscopic surgical training is inherently difficult due to limited visibility, reduced motion freedom and non-intuitive hand-eye coordination.From our experiment, the force guidance can efficiently shorten the learning curve of novice trainees.Through such system, novice trainees can efficiently develop required surgical skills by the virtual and haptic guidance from an experienced surgeon.

View Article: PubMed Central - HTML - PubMed

Affiliation: Joint Center, Tzu-Chi Dalin General Hospital, Chia-yi, Taiwan, ROC.

ABSTRACT

Background: Arthroscopic surgical training is inherently difficult due to limited visibility, reduced motion freedom and non-intuitive hand-eye coordination. Traditional training methods as well as virtual reality approach lack the direct guidance of an experienced physician.

Methods: This paper presents an experience-based arthroscopic training simulator that integrates motion tracking with a haptic device to record and reproduce the complex trajectory of an arthroscopic inspection procedure. Optimal arthroscopic operations depend on much practice because the knee joint space is narrow and the anatomic structures are complex. The trajectory of the arthroscope from the experienced surgeon can be captured during the clinical treatment. Then a haptic device is used to guide the trainees in the virtual environment to follow the trajectory.

Results: In this paper, an experiment for the eight subjects' performance of arthroscopic inspection on the same simulator was done with and without the force guidance. The experiment reveals that most subjects' performances are better after they repeated the same inspection five times. Furthermore, most subjects' performances with the force guidance are better than those without the force guidance. In the experiment, the average error with the force guidance is 33.01% lower than that without the force guidance. The operation time with the force guidance is 14.95% less than that without the force guidance.

Conclusions: We develop a novel virtual knee arthroscopic training system with virtual and haptic guidance. Compared to traditional VR training system that only has a single play-script based on a virtual model, the proposed system can track and reproduce real-life arthroscopic procedures and create a useful training database. From our experiment, the force guidance can efficiently shorten the learning curve of novice trainees. Through such system, novice trainees can efficiently develop required surgical skills by the virtual and haptic guidance from an experienced surgeon.

Show MeSH
The flowchart of the motion tracking.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC3716927&req=5

Figure 5: The flowchart of the motion tracking.

Mentions: The flowchart for computing the trajectory is shown in FigureĀ 5. Initially, there is a specific marker whose size is known and there are two CCDs (Charge-Coupled Device) in the proposed system. The proposed system can record the left and right frames in 30 frames per second at the same time. Then, the specific marker is used to detect the marker in these frames. During the detection for the specific marker, there are three kinds of conditions. First, the marker is detected in the left CCD frame and then the current trajectory can be obtained. Second, if the marker is not detected in the left CCD frame, the other detection in the right CCD frame can be executed to find the specific marker. If the marker is detected, the current trajectory computed can also be obtained by the transformation from Eq. (2). Third, if the marker cannot be detected from the left and right CCD frames, the current trajectory will be replaced by the previous trajectory. Finally, all trajectories in all frames can be recorded.


Experience-based virtual training system for knee arthroscopic inspection.

Lyu SR, Lin YK, Huang ST, Yau HT - Biomed Eng Online (2013)

The flowchart of the motion tracking.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3716927&req=5

Figure 5: The flowchart of the motion tracking.
Mentions: The flowchart for computing the trajectory is shown in FigureĀ 5. Initially, there is a specific marker whose size is known and there are two CCDs (Charge-Coupled Device) in the proposed system. The proposed system can record the left and right frames in 30 frames per second at the same time. Then, the specific marker is used to detect the marker in these frames. During the detection for the specific marker, there are three kinds of conditions. First, the marker is detected in the left CCD frame and then the current trajectory can be obtained. Second, if the marker is not detected in the left CCD frame, the other detection in the right CCD frame can be executed to find the specific marker. If the marker is detected, the current trajectory computed can also be obtained by the transformation from Eq. (2). Third, if the marker cannot be detected from the left and right CCD frames, the current trajectory will be replaced by the previous trajectory. Finally, all trajectories in all frames can be recorded.

Bottom Line: Arthroscopic surgical training is inherently difficult due to limited visibility, reduced motion freedom and non-intuitive hand-eye coordination.From our experiment, the force guidance can efficiently shorten the learning curve of novice trainees.Through such system, novice trainees can efficiently develop required surgical skills by the virtual and haptic guidance from an experienced surgeon.

View Article: PubMed Central - HTML - PubMed

Affiliation: Joint Center, Tzu-Chi Dalin General Hospital, Chia-yi, Taiwan, ROC.

ABSTRACT

Background: Arthroscopic surgical training is inherently difficult due to limited visibility, reduced motion freedom and non-intuitive hand-eye coordination. Traditional training methods as well as virtual reality approach lack the direct guidance of an experienced physician.

Methods: This paper presents an experience-based arthroscopic training simulator that integrates motion tracking with a haptic device to record and reproduce the complex trajectory of an arthroscopic inspection procedure. Optimal arthroscopic operations depend on much practice because the knee joint space is narrow and the anatomic structures are complex. The trajectory of the arthroscope from the experienced surgeon can be captured during the clinical treatment. Then a haptic device is used to guide the trainees in the virtual environment to follow the trajectory.

Results: In this paper, an experiment for the eight subjects' performance of arthroscopic inspection on the same simulator was done with and without the force guidance. The experiment reveals that most subjects' performances are better after they repeated the same inspection five times. Furthermore, most subjects' performances with the force guidance are better than those without the force guidance. In the experiment, the average error with the force guidance is 33.01% lower than that without the force guidance. The operation time with the force guidance is 14.95% less than that without the force guidance.

Conclusions: We develop a novel virtual knee arthroscopic training system with virtual and haptic guidance. Compared to traditional VR training system that only has a single play-script based on a virtual model, the proposed system can track and reproduce real-life arthroscopic procedures and create a useful training database. From our experiment, the force guidance can efficiently shorten the learning curve of novice trainees. Through such system, novice trainees can efficiently develop required surgical skills by the virtual and haptic guidance from an experienced surgeon.

Show MeSH