Automatic Mediastinal Lymph Node Computer-aided Detection System using 3D watershed-based segmentation on Chest CT
Date Issued
2014
Date
2014
Author(s)
LAI, WEI-DA
Abstract
The assessment of involvement of mediastinal lymph nodes is an important evaluation criterion in cancer staging with computed tomography (CT) as the imaging tool. In the clinical workflow, radiologists need to examine all CT slices to detect abnormal enlarge lymph nodes. In this study, a fully automatic computer-aided detection system was proposed to detect mediastinal lymph nodes. With the assistance of the proposed system, the examination time and missed lymph nodes can be reduced. First, a mediastinal volume of interest (VOI) was extracted to restrict the possible locations of lymph nodes. Second, the 3-D watershed transform was performed to obtained morphology information. Third, two blob detectors were combined to identify suspicious regions. Finally, quantitative features were extracted from the overlapped regions in the 2-D suspicious point and 3-D suspicious region and combined in a classifier to discriminate the real lymph nodes from other tissues. The proposed system achieved the sensitivities of 100%, 90.90%, 80.51%, 70.12%, and 61.00% with 15.12, 11.2, 8.32, 6.16 and 3.76 false positives per volume, respectively. In the clinical use, the sensitivities of 100% achieved by our proposed system can provide more reliable recommendations to radiologists.
Subjects
胸腔電腦斷層攝影
淋巴結偵測
癌症分期
尺度不變特徵轉換
最大穩定極值區域
SDGs
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-103-R01922109-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):0d3c086fb3cf0974a1df7fa1b0e49fcb