Table of Contents

iPASS: Photoacoustic Catheter Tracking

Last updated: 5/6/16 8:00AM

Summary

This project proposes new way of tracking technology by integration of the laser technology with the computer vision, and also piezoelectric effect. The goal of this project is to track a catheter using a stereo camera and applying laser spots on the patient surface, which can be seen by the stereo camera and generate a photoacoustic (PA) signal observed by the piezoelectric element. Preliminary results show reasonable repeatability of element localization.

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Background, Specific Aims, and Significance

Photoacoustics is an acoustic wave generation by an absorption of light. The history of photoacoustic effect discovery starts from 1880 when Alexander Graham Bell observed it. The photoacoustic effect is broadly applied for using in various fields, especially medical field for spectroscopy. While the piezoelectric element is a device using the piezoelectric effect to measure changes in pressure, temperature or force by converting them to the electrical charge. Piezoelectric effect is used in many applications, such as detection of sound and generation of electronic frequency. When comparing to other guidance systems, the benefit of this project is that this method does not require any physical markers in order to create a coordinate transformation, also it does not need to have calibration processes because we can directly compute the coordinate transformation from the collected data. The significance of this project is to enable an innovation to track the tool in interventional photoacoustic system with no additional trackable markers and/or calibration processes.

Deliverables

Technical Approach

2.1 Stereo camera point segmentation The goal of this approach is to locate the laser points in stereo camera images. Since we are dealing with multiple image frames, composed of either images with or without the laser point, the efficient segmentation method for those points is needed. Some characteristics of images are determined to be used as parameters of this segmentation method, such as intensity thresholds based on histogram of intensities, pixel size threshold, and shape filter.

2.2 System overview for PA signal acquisition The reason for this approach is to acquire the PA signal. We use the DAQ system to collect the signal. We not only use a filter to remove some unwanted feature noises from a signal before being sampled in the DAQ, but also apply the impedance matching design to improve the signal-to-noise ratio.

2.3 Trilateration method The reason for this approach is to acquire the location of piezoelectric element point or the location of catheter tip in this project. Trilateration is the method of calculating locations of points by measurement of distances, and applying the theory of geometry of circles and spheres.

2.4 Validation The reason for validation is to show that this system succeeds the project goals. We will use two methods to validate the system. One of them is “repeatability”: the result of calculation with different subsets of PA spots data should give the same location of catheter tip. Another method is “relative distance”: the results of calculation of at least two different set-up tip locations will be compared with known distance of those points. }

Dependencies

Milestones and Status

  1. Milestone name: Phantom Acquisition
    • Planned Date: February 27, 2016
    • Expected Date: February 27, 2016
    • Status: Complete
  2. Milestone name: Circuit Board Refinement
    • Planned Date: February 27, 2016
    • Expected Date: February 27, 2016
    • Status: Complete
  3. Milestone name: In vivo Experimental Protocol
    • Planned Date: February 27, 2016
    • Expected Date: February 27, 2016
    • Status: Deleted after discussion with mentors
  4. Milestone name: Synthetic Phantom/Ex vivo Experiment
    • Planned Date: March 12, 2016
    • Expected Date: March 26, 2016
    • Status: Complete March 26, 2016. Delayed due to the need of more experiments
  5. Milestone name: Analysis and Validation of Experimental Data
    • Planned Date: March 19, 2016
    • Expected Date: April 2, 2016
    • Status: Complete
  6. Milestone name: Concurrent Projection Method Development
    • Planned Date: April 2, 2016
    • Expected Date: April 2, 2016
    • Status: Deleted after discussion with mentors
  7. Milestone name: Synthetic Phantom/Ex vivo experiment for optimizing the number and pattern of spots
    • Planned Date: April 16, 2016
    • Expected Date: April 16, 2016
    • Status: Complete
  8. Milestone name: Analysis and Validation of Experimental Data
    • Planned Date: April 23, 2016
    • Expected Date: May 5, 2016
    • Status: Complete
  9. Milestone name: Real-time Tracking System
    • Planned Date: May 5, 2016
    • Expected Date: -
    • Status: -
  10. Milestone name: In vivo Experiment Feasibility Study
    • Planned Date: May 5, 2016
    • Expected Date: May 5, 2016
    • Status: Deleted after discussion with mentors

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Reports and presentations

Project Bibliography

Other Resources and Project Files

MATLAB source codes associated with this project