Special Section on Medical Image Perception and Observer Performance

Matching methods evaluation framework for stereoscopic breast x-ray images

[+] Author Affiliations
Johanna Rousson, Mathieu Naudin, Cédric Marchessoux

Barco NV, Healthcare Division, President Kennedypark 35, Kortrijk 8500, Belgium

J. Med. Imag. 3(1), 011007 (Nov 18, 2015). doi:10.1117/1.JMI.3.1.011007
History: Received July 2, 2015; Accepted October 6, 2015
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Abstract.  Three-dimensional (3-D) imaging has been intensively studied in the past few decades. Depth information is an important added value of 3-D systems over two-dimensional systems. Special focuses were devoted to the development of stereo matching methods for the generation of disparity maps (i.e., depth information within a 3-D scene). Dedicated frameworks were designed to evaluate and rank the performance of different stereo matching methods but never considering x-ray medical images. Yet, 3-D x-ray acquisition systems and 3-D medical displays have already been introduced into the diagnostic market. To access the depth information within x-ray stereoscopic images, computing accurate disparity maps is essential. We aimed at developing a framework dedicated to x-ray stereoscopic breast images used to evaluate and rank several stereo matching methods. A multiresolution pyramid optimization approach was integrated to the framework to increase the accuracy and the efficiency of the stereo matching techniques. Finally, a metric was designed to score the results of the stereo matching compared with the ground truth. Eight methods were evaluated and four of them [locally scaled sum of absolute differences (LSAD), zero mean sum of absolute differences, zero mean sum of squared differences, and locally scaled mean sum of squared differences] appeared to perform equally good with an average error score of 0.04 (0 is the perfect matching). LSAD was selected for generating the disparity maps.

© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Johanna Rousson ; Mathieu Naudin and Cédric Marchessoux
"Matching methods evaluation framework for stereoscopic breast x-ray images", J. Med. Imag. 3(1), 011007 (Nov 18, 2015). ; http://dx.doi.org/10.1117/1.JMI.3.1.011007


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