Periodic Reporting for period 2 - DEEP FIELD (DEEP FIELD: Seeing the Unseen in Image-guided Surgery)
Okres sprawozdawczy: 2022-10-01 do 2024-03-31
Image-guided surgery offers numerous advantages, including the ability of surgeons to navigate their instruments with precision and speed. However, it requires the use of harmful X rays or CT. The EU-funded DEEP FIELD project proposes to replace this type of radiation with magnetic tracking of surgical instruments. Researchers will develop innovative sensors that overcome the distortion issues associated with the use of the magnetic field in surgery. The DEEP FIELD technology is expected to change clinical surgery with applications in cardiovascular navigation, endoscopy and robotic surgery, leading to significantly improved patient outcomes.
DEEP FIELD will break thorough the scientific frontier in surgical navigation to make magnetic tracking the new gold standard in surgical instrument navigation. The results of DEEP FIELD will significantly reduce or eliminate the use of real-time radiation sources such as x-ray and CT in many procedures while also enabling more accurate surgery, advanced image fusion and significantly improved patient outcomes. For this vision to become reality, DEEP FIELD will create ground-breaking magnetic field transmitter designs} with new magnetic field shaping and distortion rejection techniques (WP1) to provide faster (2.5X) and more accurate (8X) tracking than the current state of the art (NDI Aurora Tabletop transmitter). The project will develop new and ambitiously complex magnetic sensors, including the first on-chip sensor suitable for system-in-package (SiP) fusion with other sensor types. DEEP FIELD will also eliminate the wired connection to magnetic sensors which fail regularly in current clinical use (WP2). DEEP FIELD will demonstrate entirely novel algorithms for surgical instrument tracking using sensor fusion and machine learning approaches (WP3) to compensate for magnetic field distortion, a major shortcoming of current technology. An ambitious plan to integrate and test all three WPs in realistic pre-clinical settings (WP4) is included where DEEP FIELD designs will provide the scientific foundation for the future of intra-operative instrument tracking in cardiovascular navigation, endoscopy and robotic surgery without reliance on harmful radiation.
DEEP FIELD will break thorough the scientific frontier in surgical navigation to make magnetic tracking the new gold standard in surgical instrument navigation. The results of DEEP FIELD will significantly reduce or eliminate the use of real-time radiation sources such as x-ray and CT in many procedures while also enabling more accurate surgery, advanced image fusion and significantly improved patient outcomes. For this vision to become reality, DEEP FIELD will create ground-breaking magnetic field transmitter designs} with new magnetic field shaping and distortion rejection techniques (WP1) to provide faster (2.5X) and more accurate (8X) tracking than the current state of the art (NDI Aurora Tabletop transmitter). The project will develop new and ambitiously complex magnetic sensors, including the first on-chip sensor suitable for system-in-package (SiP) fusion with other sensor types. DEEP FIELD will also eliminate the wired connection to magnetic sensors which fail regularly in current clinical use (WP2). DEEP FIELD will demonstrate entirely novel algorithms for surgical instrument tracking using sensor fusion and machine learning approaches (WP3) to compensate for magnetic field distortion, a major shortcoming of current technology. An ambitious plan to integrate and test all three WPs in realistic pre-clinical settings (WP4) is included where DEEP FIELD designs will provide the scientific foundation for the future of intra-operative instrument tracking in cardiovascular navigation, endoscopy and robotic surgery without reliance on harmful radiation.
Key results from the work to date include;
1. Assembling an exceptional team of researchers and students in a difficult hiring environment;
2. Working prototype for the first on-chip magnetic sensor for navigation in surgery;
3. First wireless prototype for Bluetooth-based tracking within the surgical setting;
4. First pre-clinical evaluation of on-chip and wireless sensing in the pre-clinical setting for navigated endoscopy in the airways.
5. Nineteen peer-reviewed publications including two invited papers and one invited conference keynote.
1. Assembling an exceptional team of researchers and students in a difficult hiring environment;
2. Working prototype for the first on-chip magnetic sensor for navigation in surgery;
3. First wireless prototype for Bluetooth-based tracking within the surgical setting;
4. First pre-clinical evaluation of on-chip and wireless sensing in the pre-clinical setting for navigated endoscopy in the airways.
5. Nineteen peer-reviewed publications including two invited papers and one invited conference keynote.
Expected results until the end of the project are;
1. A validated on-chip sensor for magnetic navigation in image-guided procedures;
2. The first wireless magnetic navigation platform for tracking the position and orientation of instruments in the operating room;
3. Demonstrated utility in the real-world setting;
3. Training an exceptional team of researchers capable of delivering next generation navigation technology for image-guided surgery for patients in healthcare settings around Europe.
1. A validated on-chip sensor for magnetic navigation in image-guided procedures;
2. The first wireless magnetic navigation platform for tracking the position and orientation of instruments in the operating room;
3. Demonstrated utility in the real-world setting;
3. Training an exceptional team of researchers capable of delivering next generation navigation technology for image-guided surgery for patients in healthcare settings around Europe.