Identification and reconstruction of bullets from multiple X-rays
Perkins, Simon and Patrick Marais (2006) Identification and reconstruction of bullets from multiple X-rays. In Proceedings 4th International Conference on Computer Graphics (Afrigraph 06), pages 117-126, Cape Town.
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We present a framework for the rapid detection and 3D localisation of bullets (or other compact shapes) from a sparse set of cross-sectional patient x-rays. The intention of this work is to assess a software architecture for an application specific alternative to conventional CT which can be leveraged in poor communities using less expensive technology. Of necessity such a system will not provide the diagnostic sophistication of full CT, but in many cases this added complexity may not be required. While a pair of x-rays can provide some 3D positional information to a clinician, such an assessment is qualitative and occluding tissue/bone may lead to an incorrect assessment of the internal location of the bullet.Our system uses a combination of model-based segmentation and CT-like back-projection to arrive at an approximate volume representation of the embedded shape, based on a sequence of x-rays which encompasses the affected area. Depending on the nature of the injury, such a 3D shape approximation may provide sufficient information for surgical intervention.The results of our proof-of-concept study show that, algorithmically, such system is indeed realisable: a 3D reconstruction is possible from a small set of x-rays, with only a small computational load. A combination of real x-rays and simulated 3D data are used to evaluate the technique.
|EPrint Type:||Conference Paper|
|Subjects:||J Computer Applications: J.3 LIFE AND MEDICAL SCIENCES|
I Computing Methodologies: I.4 IMAGE PROCESSING AND COMPUTER VISION
|Deposited By:||Marais, Patrick|
|Deposited On:||01 Febuary 2007|