Liver Segmentation and 3D Modeling from Abdominal CT Images

• 발행기관: 한국스마트미디어학회
• 저자명: Hong Tai Tran A Ran Oh In Seop Na Soo Hyung Kim
• 간행물 정보: 『스마트미디어저널』Vol5, No.1, 1~6쪽, 전체 6쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2016.03.30

영문 초록

Medical image processing is a compulsory process to diagnose many kinds of disease. Therefore, an automatic algorithm for this task is highly demanded as an important part to construct a computer-aided diagnosis system. In this paper, we introduce an automatic method to segment the liver region from 3D abdominal CT images using Otsu method. First, we choose a 2D slice which has most liver information from the whole 3D image. Secondly, on the chosen slice, we enhanced the image based on its intensity using Otsu method with multiple thresholds and use the threshold to enhance the whole 3D image. Then, we apply a liver mask to mark the candidate liver region. After that, we execute the Otsu method again to segment the liver region from the chosen slice and propagate the result to the whole 3D image. Finally, we apply preprocessing on the frontal side of 3D images to crop only the liver region from the image.

키워드

Image Processing| Medical Image Processing| Abdominal| Computer Topology