X. Cui, S. Li, H. Kim, J.-Y. Chung, K.-S. Kwack, B.-H. Min

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Presentation transcript:

Automated cartilage visualization and volume measurement using 3D U-shape and gaussian filter X. Cui, S. Li, H. Kim, J.-Y. Chung, K.-S. Kwack, B.-H. Min Osteoarthritis and Cartilage Volume 24, Pages S382-S383 (April 2016) DOI: 10.1016/j.joca.2016.01.685 Copyright © 2016 Terms and Conditions

Figure 1 3D U-shape cuboidal filter and automatic VOI selection for knee MRI. (a) is the proposed 3D U-shape cuboidal filter, in which the white area is filled by 1 and the gray area is filled by -1. (b) is the result of automatic VOI selection overlapped with original image for femur. Osteoarthritis and Cartilage 2016 24, S382-S383DOI: (10.1016/j.joca.2016.01.685) Copyright © 2016 Terms and Conditions

Figure 2 Connectivity of 2D-3D Interface of MEMVA software. Osteoarthritis and Cartilage 2016 24, S382-S383DOI: (10.1016/j.joca.2016.01.685) Copyright © 2016 Terms and Conditions

Figure3 Comparison between (a) Cartilage map From MEMVA and (b) gross image of femur articular cartilage. Osteoarthritis and Cartilage 2016 24, S382-S383DOI: (10.1016/j.joca.2016.01.685) Copyright © 2016 Terms and Conditions

Figure 4 Thickness error comparison between the real and each of r2, r3 and r4. “R” means real cartilage thickness, “r2”, “r3” and “r4” means calculated local mean cartilage thickness with 2x2, 3x3 and 4x4 respectively. The x-axis is the total index point; the y-axis is the error thickness in millimeter. Osteoarthritis and Cartilage 2016 24, S382-S383DOI: (10.1016/j.joca.2016.01.685) Copyright © 2016 Terms and Conditions