Stable 3D Mass-Spring Models for the Segmentation of the Thyroid Cartilage
نویسندگان
چکیده
The preoperative planning of primary tumor resections in the larynx region shall be supported by a 3D visualization of the patientspecific anatomy and pathological situation. This requires a segmentation of the larynx cartilage structures from CT datasets. In our work, we apply and adapt stable 3D mass-spring models to create a 3D deformable shape model for the segmentation of the thyroid cartilage. A new concept for elastic initialization of the model is presented, allowing the deformable model to adapt specifically to patient-specific shape variations and pathological deformations.
منابع مشابه
Generation and Initialization of Stable 3D Mass-Spring Models for the Segmentation of the Thyroid Cartilage
The preoperative planning of primary tumor resections in the larynx region shall be supported by a 3D visualization of the patientspeci c anatomy and pathological situation. This requires a segmentation of the larynx cartilage structures from computed tomography (CT) datasets. In our work, we use 3D Stable Mass-Spring Models (SMSMs) for this segmentation task. Thereto, we create a speci c 3D de...
متن کاملAutomatic Generation of Dynamic 3D Models for Medical Segmentation Tasks
Models of geometry or appearance of three-dimensional objects may be used for locating and specifying object instances in 3D image data. Such models are necessary for segmentation if the object to be segmented is not separable based on image information only. They provide a-priori knowledge about the expected shape of the target structure. The success of such a segmentation task depends on the ...
متن کاملA Hybrid 3D Colon Segmentation Method Using Modified Geometric Deformable Models
Introduction: Nowadays virtual colonoscopy has become a reliable and efficient method of detecting primary stages of colon cancer such as polyp detection. One of the most important and crucial stages of virtual colonoscopy is colon segmentation because an incorrect segmentation may lead to a misdiagnosis. Materials and Methods: In this work, a hybrid method based on Geometric Deformable Models...
متن کاملTarget detection Bridge Modelling using Point Cloud Segmentation Obtained from Photogrameric UAV
In recent years, great efforts have been made to generate 3D models of urban structures in photogrammetry and remote sensing. 3D reconstruction of the bridge, as one of the most important urban structures in transportation systems, has been neglected because of its geometric and structural complexity. Due to the UAV technology development in spatial data acquisition, in this study, the point cl...
متن کاملSegmentation of Neck Lymph Nodes in CT Datasets with Stable 3D Mass-Spring Models
RATIONALE AND OBJECTIVES The quantitative assessment of neck lymph nodes in the context of malignant tumors requires an efficient segmentation technique for lymph nodes in tomographic three-dimensional (3D) datasets. We present a stable 3D mass-spring model for lymph node segmentation in computed tomography (CT) datasets. MATERIALS AND METHODS For the first time our model concurrently represe...
متن کامل