Bibliographic Details
| Title: |
A modified gradient correlation filter for image segmentation: Application to airway and bowel. |
| Authors: |
Sensakovic, William F.1 wfsensak@uchicago.edu, Starkey, Adam1, Armato, Samuel G.1 |
| Source: |
Medical Physics. Feb2009, Vol. 36 Issue 2, p480-485. 6p. 4 Black and White Photographs, 1 Diagram, 3 Graphs. |
| Subjects: |
Medical imaging systems, Diagnostic imaging, Tomography, Airway (Anatomy), Lungs, Cardiopulmonary system, Medical radiography |
| Abstract: |
The segmentation of structures of interest from medical images may incorrectly include adjacent structures in the segmented image (i.e., false positives). This study introduces a family of gradient correlation filters that reduce false positives in the segmented image by comparing the segmented region gradients with a user-defined model. A gradient correlation filter was applied to a database of clinical computed tomography scans for the task of differentiating airway from lung regions and bowel from lung regions. The results were evaluated using receiver-operating characteristic analysis and demonstrated excellent results for both the airway/lung and bowel/lung classification tasks. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |
