Vertebral body segmentation with GrowCut: Initial experience, workflow and practical application

Abstract

In this contribution, we used the GrowCut segmentation algorithm publicly available in three-dimensional Slicer for three-dimensional segmentation of vertebral bodies. To the best of our knowledge, this is the first time that the GrowCut method has been studied for the usage of vertebral body segmentation. In brief, we found that the GrowCut segmentation times were consistently less than the manual segmentation times. Hence, GrowCut provides an alternative to a manual slice-by-slice segmentation process.

10 pages

References in corpus (7)

• GBM Volumetry using the 3D Slicer Medical Image Computing Platform
• Pituitary Adenoma Volumetry with 3D Slicer
• Square-Cut: A Segmentation Algorithm on the Basis of a Rectangle Shape
• Integration of the OpenIGTLink Network Protocol for Image-Guided Therapy with the Medical Platform MeVisLab
• Cube-Cut: Vertebral Body Segmentation in MRI-Data through Cubic-Shaped Divergences
• Detection and Visualization of Endoleaks in CT Data for Monitoring of Thoracic and Abdominal Aortic Aneurysm Stents
• Cellular Automata Segmentation of the Boundary between the Compacta of Vertebral Bodies and Surrounding Structures

Cited by in corpus (3)

• Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons
• BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging
• 3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging