Aims and objectives
Currently,
dental radiography and/or pantomography has been used for examination and treatment of periodontal disease in dental radiology. These images were taken by using medical imaging equipment for diagnosis and/or treatment.
In the past,
diagnosis and/or treatment were based on film images.
Today,
dentists can perform image manipulation and display of reference images by using of image display system.
During dental treatment,
dentists needs image processing operation such as paging,
enlarging change brightness to assess dental conditions.
In order to analyze the images for any...
Methods and materials
We used the Leap motion sensor (Leap motion,
Inc.,
San Francisco) [1] as shown in Fig.
1 which is a gesture recognition technology to read the movement of dentist. This sensor consisted of three infrared laser emitter for gesture recognition.Fig.2 shows photograph of the Leap motion sensor which was taken by camcorder to observe the infrared laser ray.
This image makes us understand that this device emit the infrared rays from center and both sides.
For development of proper software,
the Leap motion sensor was...
Results
As a result of measuring,
detection range with high accuracy of the motion by the Leap motion was about 70mm-300mm from top of sensor (Fig.6).
For initialization of the system,
the right or left hand of the dentist needs to be recognized by placement of the palm of the hand over the sensor.
For paging to the next image,
he/she may swiping of their finger from left to right. For zooming,
adjustment of brightness and/or contrast,
and roaming the image,
we designed this software to...
Conclusion
With the image operation system using a Leap motion sensor for dental examination,
various image processing can be performed quickly with our finger movements,
which is a new operation technology for dental examination.
Personal information
Toshihiro Ogura
Professional Experience
2009-present
Professor,Gunma prefectural college of health sciences,
Graduate school of radiological technology
References
[1]Leap motion web site:https://www.leapmotion.com/product
[2]Leap motion developer portal C++ SDK Documentation: https://developer.leapmotion.com/documentation/skeletal/cpp/index.html
[3] Yoshimitsu K,
Muragaki Y,
Maruyama T,
Saito T,
Suzuki T,
Ikuta S,
et al.: Clinical trials of the non-touch intraoperative image controllable interface system using KINECT(TM).
IJCARS,
2012; 7:S209-S210.
[4] Frank Weichert,
Daniel Bachmann,
Bartholomäus Rudak,
and Denis Fisseler:Analysis of the Accuracy and Robustness of the Leap Motion Controller,
May 2013,
13(5),
6380–6393.