TY - JOUR
T1 - Instrument localisation for endovascular aneurysm repair
T2 - Comparison of two methods based on tracking systems or using imaging
AU - Jäckle, Sonja
AU - Lange, Annkristin
AU - García-Vázquez, Verónica
AU - Eixmann, Tim
AU - Matysiak, Florian
AU - Sieren, Malte Maria
AU - Horn, Marco
AU - Schulz-Hildebrandt, Hinnerk
AU - Hüttmann, Gereon
AU - Ernst, Floris
AU - Heldmann, Stefan
AU - Pätz, Torben
AU - Preusser, Tobias
N1 - Publisher Copyright:
© 2021 The Authors. The International Journal of Medical Robotics and Computer Assisted Surgery published by John Wiley & Sons Ltd.
PY - 2021/12
Y1 - 2021/12
N2 - Background: In endovascular aneuysm repair (EVAR) procedures, medical instruments are currently navigated with a two-dimensional imaging based guidance requiring X-rays and contrast agent. Methods: Novel approaches for obtaining the three-dimensional instrument positions are introduced. Firstly, a method based on fibre optical shape sensing, one electromagnetic sensor and a preoperative computed tomography (CT) scan is described. Secondly, an approach based on image processing using one 2D fluoroscopic image and a preoperative CT scan is introduced. Results: For the tracking based method, average errors from 1.81 to 3.13 mm and maximum errors from 3.21 to 5.46 mm were measured. For the image-based approach, average errors from 3.07 to 6.02 mm and maximum errors from 8.05 to 15.75 mm were measured. Conclusion: The tracking based method is promising for usage in EVAR procedures. For the image-based approach are applications in smaller vessels more suitable, since its errors increase with the vessel diameter.
AB - Background: In endovascular aneuysm repair (EVAR) procedures, medical instruments are currently navigated with a two-dimensional imaging based guidance requiring X-rays and contrast agent. Methods: Novel approaches for obtaining the three-dimensional instrument positions are introduced. Firstly, a method based on fibre optical shape sensing, one electromagnetic sensor and a preoperative computed tomography (CT) scan is described. Secondly, an approach based on image processing using one 2D fluoroscopic image and a preoperative CT scan is introduced. Results: For the tracking based method, average errors from 1.81 to 3.13 mm and maximum errors from 3.21 to 5.46 mm were measured. For the image-based approach, average errors from 3.07 to 6.02 mm and maximum errors from 8.05 to 15.75 mm were measured. Conclusion: The tracking based method is promising for usage in EVAR procedures. For the image-based approach are applications in smaller vessels more suitable, since its errors increase with the vessel diameter.
UR - http://www.scopus.com/inward/record.url?scp=85115011032&partnerID=8YFLogxK
U2 - 10.1002/rcs.2327
DO - 10.1002/rcs.2327
M3 - Journal articles
C2 - 34480406
AN - SCOPUS:85115011032
SN - 1478-5951
VL - 17
JO - International Journal of Medical Robotics and Computer Assisted Surgery
JF - International Journal of Medical Robotics and Computer Assisted Surgery
IS - 6
M1 - e2327
ER -