A novel application of principal surfaces to segmentation in 4D-CT for radiation treatment planning

S You, E Ataer-Cansizoglu, D Erdogmus… - 2010 Ninth …, 2010 - ieeexplore.ieee.org
Radiation therapy is one of the most effective options used in the treatment of about half of
all people with cancer. A critical goal in radiation therapy is to deliver optimal radiation …

Principal curve based semi-automatic segmentation of organs in 3D-CT

S You, E Bas, E Ataer-Cansizoglu… - … Conference of the …, 2011 - ieeexplore.ieee.org
Radiation therapy plays an important and effective role in the treatment of cancer. A main
goal in radiation therapy is to deliver high radiation doses to the perceived tumors while …

An automatic and robust algorithm for segmentation of three-dimensional medical images

H Zhang, H Shen, H Duan - Sixth International Conference on …, 2005 - ieeexplore.ieee.org
Segmentation is a crucial precursor to most medical image analysis applications. This paper
presents a new three-dimensional adaptive region growing algorithm for the automatic …

Shape based region growing using derivatives of 3D medical images: application to semiautomated detection of pulmonary nodules

J Dehmeshki, X Ye, J Costello - … 2003 International Conference …, 2003 - ieeexplore.ieee.org
This paper presents a new method for shape based segmentation of 3D medical images. 3D
geometric information is calculated for each voxel by computing the partial derivatives of the …

Maximum a posteriori segmentation for medical visualization

LS Hibbard - … . Workshop on Biomedical Image Analysis (Cat …, 1998 - ieeexplore.ieee.org
This is a practical contouring method combining region growing, gradient edge detection,
and prior shape constraints to compute contours throughout a three dimensional, computed …

Automatic segmentation of lung areas based on SNAKES and extraction of abnormal areas

Y Itai, H Kim, S Ishikawa, S Katsuragawa… - … Conference on Tools …, 2005 - ieeexplore.ieee.org
Segmentation for lung areas from CT images is an important task on understanding tissue
construction, computing and extracting abnormal areas. Many segmentation methods based …

3d segmentation of the lung based on the neighbor information and curvature

Y Qi, K Dong, L Yin, M Li - 2013 Seventh International …, 2013 - ieeexplore.ieee.org
A novel method for the automatic segmentation of the lung in X-ray computed tomography
(CT) images is presented. In this paper, a maximum a posteriori (MAP) estimation …

Segmentation and visualization of the lungs in three dimensions using 3D Region Growing and Visualization Toolkit in CT examinations of the chest

RVM da Nóbrega, MB Rodrigues… - 2017 IEEE 30th …, 2017 - ieeexplore.ieee.org
Computed tomography (CT) stands out among the exams used by computer-aided
diagnosis in medical imaging as it provides the visualization of internal organs such as the …

Segmentation of thoracic computed tomography images

S Vauclin, P Zhang, I Gardin… - … on Signals, Circuits …, 2005 - ieeexplore.ieee.org
Segmentation of thoracic computed tomography (CT) images is an important step in many
medical imaging applications. This paper presents an automatic scheme for identifying the …

Morphological definition of anatomic shapes using minimal datasets

E Zindy, C Moore, D Burton… - 2000 IEEE Conference on …, 2000 - ieeexplore.ieee.org
A new method for outlining tumour volumes and surrounding organs from computed
tomography slices is presented. This task is performed during radiotherapy treatment …