+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Automatic segmentation and recognition of anatomical lung structures from high-resolution chest CT images



Automatic segmentation and recognition of anatomical lung structures from high-resolution chest CT images



Computerized Medical Imaging and Graphics 30(5): 299-313



This paper describes a fully automated segmentation and recognition scheme, which is designed to recognize lung anatomical structures in the human chest by segmenting the different chest internal organ and tissue regions sequentially from high-resolution chest CT images. A sequential region-splitting process is used to segment lungs, airway of bronchus, lung lobes and fissures based on the anatomical structures and statistical intensity distributions in CT images. The performance of our scheme is evaluated by segmenting lung structures from high-resolution multi-slice chest CT images from 44 patients; the validity of our method was proved by preliminary experimental results.

Please choose payment method:






(PDF emailed within 0-6 h: $19.90)

Accession: 011793498

Download citation: RISBibTeXText

PMID: 16920331

DOI: 10.1016/j.compmedimag.2006.06.002


Related references

Automatic segmentation of lung fields on chest radiographic images. Computers and Biomedical Research An International Journal 32(3): 283-303, 1999

Adaptive border marching algorithm: automatic lung segmentation on chest CT images. Computerized Medical Imaging and Graphics 32(6): 452-462, 2008

Determination of lung regions on chest ct images with diffuse lung diseases by use of anatomical structures and pulmonary textures. Conference Proceedings 2015: 2985-2988, 2015

Integrated lung field segmentation of injured region with anatomical structure analysis by failurerecovery algorithm from chest CT images. Biomedical Signal Processing and Control 12: 28-38, 2014

Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images. IEEE Transactions on Medical Imaging 38(1): 134-144, 2019

Automatic 3D Segmentation and Quantification of Lenticulostriate Arteries from High-Resolution 7 Tesla MRA Images. IEEE Transactions on Image Processing 25(1): 400-413, 2016

Fast automatic segmentation of anatomical structures in x-ray computed tomography images to improve fluorescence molecular tomography reconstruction. Journal of Biomedical Optics 15(3): 036006, 2010

Segmentation of striatal brain structures from high resolution PET images. International Journal of Biomedical Imaging 2009: 156234, 2009

Segmentation of lung lobes in high-resolution isotropic CT images. IEEE Transactions on Bio-Medical Engineering 56(5): 1383-1393, 2009

Optimization in multi-scale segmentation of high-resolution satellite images for artificial feature recognition. International Journal of Remote Sensing 28(20): 4625-4644, 2007

Automatic detection of circular structures in high-resolution satellite images of agricultural land. Archaeological Prospection 16(1): 1-15, 2009

Automatic pulmonary fissure detection and lobe segmentation in CT chest images. Biomedical Engineering Online 13: 59, 2014

Automatic recognition of man-made objects in high resolution optical remote sensing images by SVM classification of geometric image features. Isprs Journal of Photogrammetry and Remote Sensing 62(3): 236-248, 2007

Automatic segmentation of anatomical structures from CT scans of thorax for RTP. Computational and Mathematical Methods in Medicine 2014: 472890, 2014

Lung extraction, lobe segmentation and hierarchical region assessment for quantitative analysis on high resolution computed tomography images. Medical Image Computing and Computer-Assisted Intervention 12(Pt 2): 690-698, 2009