Paper
28 March 2013 Identification of depth information with stereoscopic mammography using different display methods
Takamitsu Morikawa, Yoshie Kodera
Author Affiliations +
Abstract
Stereoscopy in radiography was widely used in the late 80’s because it could be used for capturing complex structures in the human body, thus proving beneficial for diagnosis and screening. When radiologists observed the images stereoscopically, radiologists usually needed the training of their eyes in order to perceive the stereoscopic effect. However, with the development of three-dimensional (3D) monitors and their use in the medical field, only a visual inspection is no longer required in the medical field. The question then arises as to whether there is any difference in recognizing depth information when using conventional methods and that when using a 3D monitor. We constructed a phantom and evaluated the difference in capacity to identify the depth information between the two methods. The phantom consists of acryl steps and 3mm diameter acryl pillars on the top and bottom of each step. Seven observers viewed these images stereoscopically using the two display methods and were asked to judge the direction of the pillar that was on the top. We compared these judged direction with the direction of the real pillar arranged on the top, and calculated the percentage of correct answerers (PCA). The results showed that PCA obtained using the 3D monitor method was higher PCA by about 5% than that obtained using the naked-eye method. This indicated that people could view images stereoscopically more precisely using the 3D monitor method than when using with conventional methods, like the crossed or parallel eye viewing. We were able to estimate the difference in capacity to identify the depth information between the two display methods.
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Takamitsu Morikawa and Yoshie Kodera "Identification of depth information with stereoscopic mammography using different display methods", Proc. SPIE 8673, Medical Imaging 2013: Image Perception, Observer Performance, and Technology Assessment, 86730M (28 March 2013); https://doi.org/10.1117/12.2006728
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KEYWORDS
Principal component analysis

3D image processing

Mammography

Eye

Stereoscopy

Angiography

Computed tomography

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