Updates on the MURAB project
The MURAB project (EU H2020 MRI and Ultrasound Robotic Assisted Biopsy) has entered its second year. re are some details from their ERF2017 teaser:
Clinical and technological objectives:
Improve precision and effectiveness of the biopsy procedure for cancer diagnostic purposes.
- Enabling US-guided biopsies of lesions that are not visible on US image
- Patient discomfort reduction
- Efficiency increase
- Autonomous navigation for a robotic scanning sequence with ultrasound
- Modelling of biomechanical properties
- Tissue Active SLAM (Simultaneous Localisation And Mapping) in which a (deformed) 3D tissue environment will be reconstructed from US images and elastographic data.
Phases:
- MRI acquisition and lesion localization
- MRI to base coordinates
- Ultrasound scanning
- Deformable tissue modelling and fusion
- Elastography
- Robotic control and SLAM for needle biopsy
Imaging for optimal needle insertion:
- Landmark localization and lesion segmentation
- Design multimodality markers
- 3D ultrasound scanning
- Fixation of breast - cone
- Simulations of ultrasound scan when transducer moves following predefined trajectory
- Deformable tissue modelling
- Grid superimposed on the camera image
- Linear transformation
- Affine transformation (shear + scaling)
Robot control and design of biopsy tool:
- Design and evaluation of different kinematic structures enabling maximum reachability
- Integrated ultrasound probe positioned relative to needle holder
- Actuated prototype using smart servo motors for needle positioning and end stop
- Interconnection between robotic head and robot flange
- Data and power supply through centric connection
- Manual lock mechanism for easy handling and fast tool changing
- Ergonomic interface with safety switches for robotic hand guiding
Demonstrator in progress:
- Integration of sub-technologies
- Image acquisition with integrated ultrasound probe
- Testing of different scanning trajectories
- Measuring of resulting breast deformation
- Description of kinematic and dynamic parameters for performant control of robotic head
Source: MURAB
Comments