Most minimally invasive procedures restrict the access and direct vision to the regions which require surgery. Such procedures require intra-operative image modalities such as x-ray, ultrasound or endoscopic images to be able to monitor the procedure in real-time. In many cases this information is not sufficient to perform the procedure accurately and safely. Merging information acquired pre-operatively, mainly from for instance MRI, CT or PET, with intra-operative data can increase the basis for decisions and thereby improve the safety and accuracy of the procedure. The Medical Robotics, visualization and navigation group develops cutting edge technological solutions which support minimally invasive procedures. In particular, the group is focused on developing real-time image-segmentation and - registration methods. Visualization and navigation is required to present the medical images to the surgeon intra-operatively. 3D video will be more and more cross-linked with medical image information and move toward robotics and automation of surgical procedures. The research group is doing research in all these fields of technology facilitating minimally invasive surgery.
Recent publications
Villegas-Martinez M, Krogh MR, Andersen ØS, Sletten OJ, Wajdan A, Odland HH, Elle OJ, Remme EW(2022) Tracking Early Systolic Motion for Assessing Acute Response to Cardiac Resynchronization Therapy in Real Time Front Physiol, 13, 903784 DOI 10.3389/fphys.2022.903784, PubMed 35721553
Wajdan A, Jahren TS, Villegas-Martinez M, Khan FH, Halvorsen PS, Odland HH, Elle OJ, Solberg AHS, Remme EW(2022) Automatic Detection of Aortic Valve Events Using Deep Neural Networks on Cardiac Signals From Epicardially Placed Accelerometer IEEE J Biomed Health Inform, PP(in press) DOI 10.1109/JBHI.2022.3181148, PubMed 35679388
Kumar RP, Pelanis E, Bugge R, Brun H, Palomar R, Aghayan DL, Fretland ÅA, Edwin B, Elle OJ(2020) Use of mixed reality for surgery planning: Assessment and development workflow J Biomed Inform, 112S, 100077 DOI 10.1016/j.yjbinx.2020.100077, PubMed 34417006