Enhancement of Lesions in CT Images of Lung Cancer Based on MIMICS Software
In order to explore the three-dimensional reconstruction of lung cancer CT images by MIMICS software, the purpose of enhancing the effect of the lesion area is realized, and the visualization model can be realized, which can effectively assist the early diagnosis of lung cancer and
the surgical treatment of lung cancer. Using lung CT scan data from lung cancer patients, semi-automated segmentation methods are used to segment the lung tumors in MIMICS software to create an individualized lung cancer model. MIMICS software accurately and efficiently distributes the model
according to the gray values of different tissues, and successfully establishes a human body chest finite element model with realistic shape and accurate structure. The model includes chest skin, bones, lungs, pulmonary arteries, pulmonary veins, and tracheobronchial trees, providing precise
model support for finite element analysis. This study successfully constructs a three-dimensional digital model of individualized lung cancer. The model has high geometric similarity and strong stereoscopic effect. It truly reflects the morphological characteristics of lung cancer and the
spatial relationship between adjacent structures, which makes the imaging effect of lung cancer lesions more prominent. By moving, separating, combining, and revealing the model, multi-angle observation and measurement can be performed, which facilitates preoperative planning and shortens
the operation time.
Keywords: CT; DISEASE AREA; LUNG CANCER; MIMICS; THREE-DIMENSIONAL RECONSTRUCTION
Document Type: Research Article
Publication date: 01 April 2020
- Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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