Research

From WPI Automation and Interventional Medicine (AIM) Robotics Laboratory

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Contents

Fields of Research

Please see the Publications page for a complete listing of published works.


MRI Compatible Robotics

Magnetic Resonance Imaging (MRI) is an excellent imaging modality for many conditions, but to date there has been limited success in harnessing this modality for the guidance of interventional procedures. MRI is an ideal interventional guidance modality: it provides near real-time high-resolution images at arbitrary orientations and is able to monitor therapeutic agents, surgical tools, biomechanical tissue properties, and physiological function. At the same time, MRI poses formidable engineering challenges by severely limited access to the patient and high magnetic field that prevents the use of conventional materials and electronic equipment.

MRI Robot for Precision Deep Brain Stimulation Probe Placement

MRI Compatible Neurosurgery Robot
MRI Compatible Neurosurgery Robot

Direct MR image guidance during deep brain stimulation (DBS) insertion offers many benefits; most significantly, interventional MRI can be used for planning, monitoring of tissue deformation, real-time visualization of insertion, and confirmation of placement. The accuracy of standard stereotactic insertion is limited by registration errors and brain movement during surgery. With real-time acquisition of high-resolution MR images during insertion, probe placement can be confirmed intra-operatively. Direct MR guidance has not taken hold because it is often confounded by a number of issues including: MR-compatibility of existing stereotactic surgery equipment and patient access in the scanner bore. The high resolution images required for neurosurgical planning and guidance require high-field MR (1.5-3T); thus, any system must be capable of working within the constraints of a closed, long-bore diagnostic magnet. Currently, no technological solution exists to assist MRI guided neurosurgical interventions in an accurate, simple, and economical manner.

The objective of our research is to make conventional diagnostic closed high-field MRI scanners available for guiding deep brain stimulation electrode placement interventions for treatment of Parkinson's Disease and other neurological disorders including severe depression and Alzheimer's Disease.

Our approach is to employ an MRI-compatible robotic assistant for guiding DBS electrode insertion under direct, real-time MR image guidance. The system will allow interactive probe alignment under real-time imaging in standard diagnostic high-field MR scanners. Use of a robotic assistant will minimize the potential for human error and mis-registration associated with the current procedure and will better address the practical issues of operating in an MR scanner bore.

Pneumatically Operated MRI Robot for Transperineal Prostate Diagnosis and Treatment

MRI Compatible Needle Placement Robot
MRI Compatible Needle Placement Robot

MRI has potential to be a superior medical imaging modality for guiding and monitoring prostatic interventions. MRI can provide high-quality 3D visualization of prostate and surrounding tissue. However, the benefits can not be readily harnessed for interventional procedures due to difficulties that surround the use of high-field (1.5T or greater). The strong magnetic field prevents the use of conventional mechatronics and the confined physical space makes it extremely challenging to access the patient. We have designed a robotic assistant system that overcomes these difficulties and promises safe and reliable intra-prostatic needle placement inside closed high-field MRI scanners.

Modular MRI Compatible Robot Controller

The unavailability of robot control interfaces that are compatible with the MRI environment has severely limited the ability to do research in the field. The high cost of entry into MRI robotics has been primarily due to the need for each researcher to develop and evaluate their control system in the scanner. We have developed an MRI compatible robot controller that sits in the scanner room without interfering with scanner imaging. The controller is modular and allows many different inputs and output and communicates to a high level planning and navigation software workstation through fiber optic connections.

Development and Evaluation of MRI-Compatible Actuators

Traditional actuators are often contraindicated by the strong magnetic and electric fields present in the MRI scanner bore. Further, it is critical that the devices not introduce noise or distortion into the acquired images. We are evaluating different actuator schemes including pneumatics and piezoelectric actuators. We are investigating ways of optimizing piezoelectric motors for MR-compatibility and developing high-accuracy pneumatic control systems.

Development and Evaluation of MRI-Compatible Sensors

Traditional sensors in robotics include force and positioning sensing. However, off-the-shelf sensors are not suiatable for use in MRI due to the potential for image degradation, malfunction, or safety issues. We are evaluating and developing sensors to be used in the MR environment. The current focus is on optical techniques for force and position sensing that do not compromise image quality and will allow for haptic feedback during MRI-guided interventions.

Augmented Reality Procedural Guidance

MR Image Overlay for Joint Arthrography

MRI Image Overlay
MRI Image Overlay

Magnetic Resonance Imaging (MRI) provides great potential for planning, guiding, monitoring and controlling interventions. MR arthrography (MRAr) is the imaging gold standard to assess small ligament and fibrocartilage injury in joints. In contemporary practice, MRAr consists of two consecutive sessions: 1) an interventional session where a needle is driven to the joint space and MR contrast is injected under fluoroscopy or CT guidance, and 2) A diagnostic MRI imaging session to visualize the distribution of contrast inside the joint space and evaluate the condition of the joint. Our approach to MRAr is to eliminate the separate radiologically guided needle insertion and contrast injection procedure by performing those tasks on conventional high-field closed MRI scanners. We propose a 2D augmented reality image overlay device to guide needle insertion procedures. This approach makes diagnostic high-field magnets available for interventions without a complex and expensive engineering entourage. In preclinical trials, needle insertions have been performed in the joints of porcine and human cadavers using MR image overlay guidance; insertions successfully reached the joint space on the first attempt in all cases.


Description of the MRI Image Overlay on the NSF ERC Achievements Showcase:
MRI-Guided Needle Placement with Augmented Reality Guidance


Training and Evaluation System for Image-Guided Therapy - Perk Station

The Perk Station
The Perk Station

Image-guided percutaneous needle-based surgery has become part of routine clinical practice in performing procedures such as biopsies and injections. Image-guided needle placement procedures in CT/MR benefit from an accurate and effective augmented reality (AR) system. In order to operate the system the user has to be trained. Therefore, we have developed a laboratory validation and training system for measuring operator performance under different assistance techniques for needle-based surgical guidance systems named “The Perk Station.” Three techniques are fitted in this training suite: the image overlay, bi-plane laser guide, and traditional freehand techniques. An electromagnetic tracking system is applied in the validation system. The Perk Station, an inexpensive, simple and easily reproducible surgical navigation workstation for laboratory practice incorporating all the above mentioned functions in a “self-contained” unit, is introduced.

Robots in Education

We are developing robotic systems applicable to teaching the fundamentals of robotics. The first generation of the robot has been successfully used to teach the junior level undergraduate Robotics Engineering courses at WPI.

The EduArm Educational Robotic Manipulator Arm

No one hardware platform provides all of the tools required to teach a robotics engineering curriculum. We are developing a unified platform specifically designed for multidisciplinary undergraduate robotics education.

Undergraduate Research Projects

IQP - Perceptions of Robots in Surgery

The goal of this work is to study the conceptions about the use of robotis in surgery. We are specifically investigating the differences in these perceptions among different patient and medical professional populations. The work is primarily focussed on use of the da Vinci Surgical System.

Past Research

Electromagnetic Tracker Navigation and Calibration

Aurora EM Tracker Calibration
Aurora EM Tracker Calibration

Developing electromagnetically (EM) tracked tools can be very time consuming. Tool design traditionally takes many iterations, each of which requires construction of a physical tool and performing lengthy experiments. We propose a simulator that allows tools to be virtually designed and tested before ever being physically built. Both tool rigid body (RB) configurations and reference RB configurations are configured; the reference RB can be located anywhere in the field, and the tool is virtually moved around the reference in user-specified pattern. Sensor measurements of both RBs are artificially distorted according to a previously acquired error field mapping, and the 6-DOF frames of the Tool and Reference are refit to the distorted sensors. It is possible to predict the tool tip registration error for a particular tool and coordinate reference frame (CRF) in a particular scenario before ever even building the tools.


Sensing Surgical Instruments

'Smart' Retractor
'Smart' Retractor

Gaining access to a surgical site via retracting neighboring tissue can result in complications due to occlusion of the tissue blood supply resulting in ischemic damage. By incorporating oxygenation sensors on the working surfaces of surgical retractors and graspers, it is possible to measure the local tissue oxygen saturation and look for trends in real-time. Further, by measuring tissue interaction forces simultaneously, we can further augment the information available to the surgeon. The sensors provide a means for sensory substitution to help compensate for the decreased sensation present in minimally invasive laparoscopic and robotic procedures that are gaining significant popularity. Sensing surgical instruments will allow for safer and more effective surgeries while not interfering with the normal workflow of a procedure.


Robotic Ultrasound and Liver Ablation

Dual Arm System
Dual Arm System

There has been increased interest in minimally invasive ablative treatments that typically require precise placement of the ablator tool to meet the predefined planning, and lead to efficient tumor destruction. Standard ablative procedures involve free hand transcutaneous ultrasonography (TCUS) in conjunction with manual tool positioning. Unfortunately, existing TCUS systems suffer from many limitations and results in failure to identify nearly half of all treatable liver lesions. Freehand manipulation of the ultrasound (US) probe and ablator tool critically lacks the level of control, accuracy, stability, and guaranteed performance required for these procedures. Freehand US results in undefined gap distribution, anatomic deformation due to variable pressure from the sonographer’s hand, and severe difficulty in maintaining optimal scanning position. In response to these limitations, we developed a dual robotic arm system that manages both ultrasound manipulation and needle guidance. We have performed a comparative performance study between robotic vs. freehand systems for both US scanning and needle placement in mechanical and animal tissue phantoms.


Steady Hand Guided Aneurysm Clip Applier

Steady Hand Robot
Steady Hand Robot

Steady hand guidance provides high accuracy motion while keeping the surgeon in contact with the surgical instrument. Force sensors are applied between the instrument and the robot, and as the surgeon applies forces to the instrument, the robot move accordingly. Tremor reduction, force scaling, and virtual fixtures can be applied to enhance control. This application uses steady hand guidance to precisely place brain aneurysm clips. The system was demonstrated and received good feedback at the CNS Conference in Denver, CO.

CT Guided Intra Cranial Hemorrhage(ICH) Evacuation

Robotic ICH Removal
Robotic ICH Removal

We developed a robotic system for rapid removal blood from the brain after a bleeding event resulting in blood in the ventricles or brain parenchyma. The procedure is performed inside a CT scanner. A hematoma evacuator is aligned with the target “out-of-plane”, with the use of a couch-mounted 2-DOF remote center of motion (RCM) robot. The robot is calibrated to CT image space with pure image based out-of-plane stereotactic registration. The system is frameless and the patient is secured in treatment position in a non-invasive manner. We achieved excellent out-of-plane tool placement accuracy in mechanical phantoms (1.0 mm) and demonstrated the workflow on human cadaver.