[A preliminary clinical study on endoscopic measurement of lesion area with the method of digital image processing technology].
It is of great importance to measure the lesion area in scientific research and clinical practice. The present study aims to solve barrel distortion and measure lesion area with the technology of computer visualization. With the ultimate purpose to obtain the precise lesion area, the study, based on the original endoscopy system and digital image processing technology, dealt with the correction of barrel distortion by lens adjustment, calculated the gastric ulcer area with the aid of Qt database and finally developed an image processing software--Endoscope Assistant (EAS). The results showed that the EAS was accurate in vitro. It was employed to measure the gastric ulcer area of 45 patients and the results were compared with the traditional formula method. It could be well concluded that this technology is safe, accurate and economical for measuring gastric ulcer area.
Department of Gastroenterology, the 1st Affiliated Hospital, Anhui Medical University, Hefei 230022, China.
Lei
L
Zhang
Department of Gastroenterology, the 1st Affiliated Hospital, Anhui Medical University, Hefei 230022, China.
Zhihua
Z
Wang
Department of Electronic Science and Technology, University of Science and Technology of China, Hefei 230022, China.
Zhongqian
Z
Fu
Department of Electronic Science and Technology, University of Science and Technology of China, Hefei 230022, China.
Pengcheng
P
Fang
Department of Electronic Science and Technology, University of Science and Technology of China, Hefei 230022, China.
Kai
K
Ling
Department of Gastroenterology, the 1st Affiliated Hospital, Anhui Medical University, Hefei 230022, China.
Jianming
J
Xu
Department of Gastroenterology, the 1st Affiliated Hospital, Anhui Medical University, Hefei 230022, China.
Derun
D
Kong
Department of Gastroenterology, the 1st Affiliated Hospital, Anhui Medical University, Hefei 230022, China.
Zhangwei
Z
Xu
D000465:Algorithms; D005773:Gastroscopy / Q000379:methods*; D006801:Humans; D007089:Image Enhancement; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D012984:Software; D013272:Stomach Diseases / Q000175:diagnosis* / Q000473:pathology