TY - JOUR
T1 - A fast and accurate tube diameter visualization method for digestive system medical images
AU - Ueda, Mitsuru
AU - Kondo, Masafumi
AU - Kayano, Isao
AU - Sejima, Yoshihiro
AU - Yokogawa, Tomoyuki
AU - Sato, Yoichiro
AU - Sugihara, Yuusaku
AU - Matsumoto, Kazuyuki
N1 - Funding Information:
The medical images used in this study were provided after approval (#1707-008) by the Ethics Committee of Okayama University Hospital.
Publisher Copyright:
2021 The Institute of Electrical Engineers of Japan.
PY - 2021/9/1
Y1 - 2021/9/1
N2 - Although the tube diameter and stenosis rate are important observations in the diagnosis using medical images of digestive organ, such as digestive systems, the diagnosis is based on the physician’s subjective evaluation. On the other hand, automatic measurement of tube diameters by image processing has been used for blood vessels, which are tubular tissues similar to digestive systems, and it is also possible to visualize the vessel diameter by assigning pseudo-colors according to the length of the vessel. However, it is difficult to apply the existing diameter visualization methods directly to digestive system medical images due to the processing time and accuracy problems because the tubes are large and tortuous, unlike blood vessels. In this paper, we propose a method to measure the tube diameter quickly by dynamically calculating the next featured pixel using the history of the midpoints of the tube diameter line. Furthermore, we derive an approximate curve corresponding to the centerline of the tube from the history of the featured pixels and measure the tube diameter with high accuracy. We applied the proposed method to various types of digestive system medical images and confirmed that the proposed method could accurately measure and visualize the tube diameter along the shape of the tube and reduce the processing time by up to 99%.
AB - Although the tube diameter and stenosis rate are important observations in the diagnosis using medical images of digestive organ, such as digestive systems, the diagnosis is based on the physician’s subjective evaluation. On the other hand, automatic measurement of tube diameters by image processing has been used for blood vessels, which are tubular tissues similar to digestive systems, and it is also possible to visualize the vessel diameter by assigning pseudo-colors according to the length of the vessel. However, it is difficult to apply the existing diameter visualization methods directly to digestive system medical images due to the processing time and accuracy problems because the tubes are large and tortuous, unlike blood vessels. In this paper, we propose a method to measure the tube diameter quickly by dynamically calculating the next featured pixel using the history of the midpoints of the tube diameter line. Furthermore, we derive an approximate curve corresponding to the centerline of the tube from the history of the featured pixels and measure the tube diameter with high accuracy. We applied the proposed method to various types of digestive system medical images and confirmed that the proposed method could accurately measure and visualize the tube diameter along the shape of the tube and reduce the processing time by up to 99%.
KW - Automated diameter measurement
KW - Color mapping
KW - Dynamic centerline detection
KW - Image processing
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U2 - 10.1541/ieejeiss.141.982
DO - 10.1541/ieejeiss.141.982
M3 - Article
AN - SCOPUS:85114229835
SN - 0385-4221
VL - 141
SP - 982
EP - 991
JO - IEEJ Transactions on Electronics, Information and Systems
JF - IEEJ Transactions on Electronics, Information and Systems
IS - 9
ER -