Medical Application of Multi-camera Systems21/03/2005 |
| Bedsore Analysis Using MEDPHOS Photogrammatic System |
| Medical applications such as bedsore analysis often require 3D surface reconstruction of the human body. Major surface reconstruction techniques are based on mechanical digitizers, laser scanners and vision systems, including photogrammetry. Multi-camera systems can greatly reduce ambiguity resulting from loss of information associated with the perspective mapping of a 3D scene onto a 2D image. The authors present three and four-camera photogrammetric systems for the analysis of bedsores. |
| Abbass Malian and Ali Azizi, Iran, Frank van den Heuvel, The Netherlands |
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A bedsore occurs when sustained pressure of bedclothes against the skin causes local obstruction to the blood supply, resulting in damage and potential loss of the affected tissue. Bedsores affect approximately 20% of hospitalised patients. The cost in both human suffering and financial terms is high; in the US the care of pressure ulcers costs US$ 3 to US$ 5 billion annually, whilst in the UK this figure is currently £300 million, estimated soon to reach £500 million. Both suffering and cost of treatment may be greatly reduced when the ulcer and any changes resulting from therapy can be accurately and reliably measured. Regular objective measurement enables medical staff to accurately assess the progress of wound healing and to improve the treatment strategy. Any measuring technique should preferably be non-invasive so as to avoid damage, infection and pain.
Three-camera System The three-camera photogrammetric system developed in Delft uses a texture projector and is based on least-squares bundle adjustment applied to three stereo pairs provided by three cameras. Figure 1 shows the reconstructed surface model of a large abdominal wound processed with this system. However, intensity-based image matching is not ideal for wound measurement, because:
Four-camera System Using four cameras rather than three improves completeness, precision and reliability at little extra cost. We therefore extended the above system to four cameras, calling it MEDPHOS (MEDical PHOtogrammetric System) and basing it on the robust, geometric constraint available in a multiply calibrated camera set-up. Incorporating the three-focal constraint that takes advantage of epipolar geometry reduces problems caused by intensity-based matching. Moreover, further disambiguation is achieved by projecting a dot pattern over the wound the shape, size and density of which has been optimised. Robust extraction and processing of the dots is done with sophisticated image-processing procedures designed by us. These include homomorphic adjustment for compensation of non-uniform illumination and specular reflectance of the wound surface, watershed segmentation to detect overlapping projected dots and ‘top-hat’ filtering to separate foreground pattern objects from the uneven background. The introduction of a projector calibration reduces remaining ambiguities in match. Concluding Remarks MEDPHOS is tailored for bedsore reconstruction, although it may certainly be useful for other applications in medicine and industry. The Faculty of Engineering, University of Tehran provided financial support for construction of the four-camera system. Further Reading |
| Biography of the Author(s) Abbass Malian, working for a PhD in photogrammetry at the University of Tehran, lectures in photogrammetry at the University of Tafresh, Iran. During 2001-2002 he was a visiting researcher at Delft University of Technology in The Netherlands, where he worked on the development of a multi-camera photogrammetric system for wound measurement. Frank van den Heuvel is an assistant professor at the Delft Institute of Earth Observation and Space Systems (DEOS) of the Faculty of Aerospace Engineering of the Delft University of Technology, The Netherlands. Dr van den Heuvel holds a PhD in photogrammetry and his research interests lie in architectural, industrial and medical photogrammetry. Ali Azizi is associate professor at the Faculty of Engineering, University of Tehran. He holds a PhD in digital photogrammetry. His research interests are in close-range and satellite photogrammetry. |
