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Measurement of Vascular Diameter In Vitro by Automated Software for CT Angiography: Effects of Inner Diameter, Density of Contrast Medium, and Convolution Kernel

Shigeru Suzuki1, Shigeru Furui, Tatsuro Kaminaga and Teiyu Yamauchi

1 All authors: Department of Radiology, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo 173-8605, Japan.



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Fig. 1. Schema of P1 phantom. P1 phantom was made of six acrylic cylinders with 3- or 4-mm inner diameters filled with contrast medium of three dilutions. Six cylinders were fixed in columnar styrene container filled with salad oil. Cylinders were placed parallel to central axis of styrene container. Styrene container was fixed in water-filled columnar polyethylene container, with central axes overlapping.

 


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Fig. 2. Cross section (top) and CT attenuation profile (bottom) of 3-mm inner diameter model filled with contrast medium of intermediate density (350 H). Circle on cross section corresponds to contour recognized by automated software. Straight lines inside circle correspond to minimal and maximal diameters in cross section. Increments of attenuation profile curve are 2 mm. A = soft, B = standard, C = detail, D = bone, and E = lung convolution kernels.

 


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Fig. 3. Cross section (top) and CT attenuation profile (bottom) of 6-mm inner diameter model filled with contrast medium of intermediate density (350 H). Circle on cross section corresponds to contour recognized by automated software. Straight lines inside circle correspond to minimal and maximal diameters in cross section. Increments of attenuation profile curve are 2 mm. A = soft, B = standard, C = detail, D = bone, and E = lung convolution kernels.

 


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Fig. 4. Cross section (top) and CT attenuation profile (bottom) of 6-mm inner diameter model filled with contrast medium of low density (210 H). Circle on cross section corresponds to contour recognized by automated software. Straight lines inside circle correspond to minimal and maximal diameters in cross section. Increments of attenuation profile curve are 2 mm. A = soft, B = standard, C = detail, D = bone, and E = lung convolution kernels.

 


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Fig. 5. Bar graph shows effect of vascular model inner diameter and convolution kernel on measurement error in 210-H model. Bars from left to right in each group indicate 3-mm, 4-mm, and 6-mm inner diameter models.

 


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Fig. 6. Bar graph shows effect of vascular model inner diameter and convolution kernel on measurement error in 350-H model. Bars from left to right in each group indicate 3-mm, 4-mm, and 6-mm inner diameter models.

 


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Fig. 7. Bar graph shows effect of vascular model inner diameter and convolution kernel on measurement error in 460-H model. Bars from left to right in each group indicate 3-mm, 4-mm, and 6-mm inner diameter models.

 

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