Abstract
Lhis work presents a prototype navigation system for computer assisted arthroscopic surgery. Arthroscopic surgery is minimally invasive and ensures fast post-surgical recovery. It requires, however, considerable dexterity due to the limited 2D view of the scene and cramped operating area. Augmented reality can help the surgeon overcome these limitations. The key feature of the system presented is an interactive graphical interface. A 3D model and two 2D projections of the patient’s joint and models of the arthroscope and other sensorized surgical instruments are shown. Lhe positions of all sensorized objects, including the patient’s anatomy, are tracked in real-time by an optoelectronic localizer and reproduced in the virtual scene. Lhe field of view of the arthroscope is dynamically highlighted on the 3D model of the joint, which is reconstructed from a preoperative CL/MRI data set and matched to the actual anatomy by means of an ICP-based non-fiducial registration algorithm. Lhe prototype system has been positively evaluated by a selected group of skilled orthopaedic surgeons. Preliminary tests on the overall accuracy of the system show that errors can be kept within 3°/3mm.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Publisher | Springer Verlag |
| Pages | 1158-1162 |
| Number of pages | 5 |
| Volume | 1935 |
| ISBN (Print) | 3540411895, 9783540411895 |
| Publication status | Published - 2000 |
| Event | 3rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2000 - Pittsburgh, United States Duration: Oct 11 2000 → Oct 14 2000 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 1935 |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 3rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2000 |
|---|---|
| Country | United States |
| City | Pittsburgh |
| Period | 10/11/00 → 10/14/00 |
Fingerprint
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
An augmented reality navigation system for computer assisted arthroscopic surgery of the knee. / Tonet, Oliver; Megali, Giuseppe; D’Attanasio, Simona; Dario, Paolo; Carrozza, Maria Chiara; Marcacci, Maurilio; Martelli, Sandra; La Palombara, Pier Francesco.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1935 Springer Verlag, 2000. p. 1158-1162 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1935).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - An augmented reality navigation system for computer assisted arthroscopic surgery of the knee
AU - Tonet, Oliver
AU - Megali, Giuseppe
AU - D’Attanasio, Simona
AU - Dario, Paolo
AU - Carrozza, Maria Chiara
AU - Marcacci, Maurilio
AU - Martelli, Sandra
AU - La Palombara, Pier Francesco
PY - 2000
Y1 - 2000
N2 - Lhis work presents a prototype navigation system for computer assisted arthroscopic surgery. Arthroscopic surgery is minimally invasive and ensures fast post-surgical recovery. It requires, however, considerable dexterity due to the limited 2D view of the scene and cramped operating area. Augmented reality can help the surgeon overcome these limitations. The key feature of the system presented is an interactive graphical interface. A 3D model and two 2D projections of the patient’s joint and models of the arthroscope and other sensorized surgical instruments are shown. Lhe positions of all sensorized objects, including the patient’s anatomy, are tracked in real-time by an optoelectronic localizer and reproduced in the virtual scene. Lhe field of view of the arthroscope is dynamically highlighted on the 3D model of the joint, which is reconstructed from a preoperative CL/MRI data set and matched to the actual anatomy by means of an ICP-based non-fiducial registration algorithm. Lhe prototype system has been positively evaluated by a selected group of skilled orthopaedic surgeons. Preliminary tests on the overall accuracy of the system show that errors can be kept within 3°/3mm.
AB - Lhis work presents a prototype navigation system for computer assisted arthroscopic surgery. Arthroscopic surgery is minimally invasive and ensures fast post-surgical recovery. It requires, however, considerable dexterity due to the limited 2D view of the scene and cramped operating area. Augmented reality can help the surgeon overcome these limitations. The key feature of the system presented is an interactive graphical interface. A 3D model and two 2D projections of the patient’s joint and models of the arthroscope and other sensorized surgical instruments are shown. Lhe positions of all sensorized objects, including the patient’s anatomy, are tracked in real-time by an optoelectronic localizer and reproduced in the virtual scene. Lhe field of view of the arthroscope is dynamically highlighted on the 3D model of the joint, which is reconstructed from a preoperative CL/MRI data set and matched to the actual anatomy by means of an ICP-based non-fiducial registration algorithm. Lhe prototype system has been positively evaluated by a selected group of skilled orthopaedic surgeons. Preliminary tests on the overall accuracy of the system show that errors can be kept within 3°/3mm.
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M3 - Conference contribution
SN - 3540411895
SN - 9783540411895
VL - 1935
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1158
EP - 1162
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer Verlag
ER -