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.
Zachariadis O, Teatini A, Satpute N, Gómez-Luna J, Mutlu O, Elle OJ, Olivares J(2020) Accelerating B-spline interpolation on GPUs: Application to medical image registration Comput Methods Programs Biomed, 193, 105431(in press) DOI 10.1016/j.cmpb.2020.105431, PubMed 32283385
Teatini A, Pérez de Frutos J, Eigl B, Pelanis E, Aghayan DL, Lai M, Kumar RP, Palomar R, Edwin B, Elle OJ(2020) Influence of sampling accuracy on augmented reality for laparoscopic image-guided surgery Minim Invasive Ther Allied Technol DOI 10.1080/13645706.2020.1727524, PubMed 32134342
Wajdan A, Krogh MR, Villegas-Martinez M, Halvorsen PS, Grymyr OJ, Elle OJ, Remme EW(2019) Monitoring cardiac function by accelerometer - detecting start systole from the acceleration signal makes additional ECG recordings for R-peak detection redundant Conf Proc IEEE Eng Med Biol Soc, 2019, 4922-4925 DOI 10.1109/EMBC.2019.8856417, PubMed 31946964