Name
Title | ||
|---|---|---|
Multi-atlas-based Segmentation of the Parotid Glands of MR Images in Patients Following Head-and-neck Cancer Radiotherapy. |
Abstract | ||
|---|---|---|
Xerostomia (dry mouth), resulting from radiation damage to the parotid glands, is one of the most common and distressing side effects of head-and-neck cancer radiotherapy. Recent MRI studies have demonstrated that the volume reduction of parotid glands is an important indicator for radiation damage and xerostomia. In the clinic, parotid-volume evaluation is exclusively based on physicians' manual contours. However, manual contouring is time-consuming and prone to inter-observer and intra-observer variability. Here, we report a fully automated multi-atlas-based registration method for parotid-gland delineation in 3D head-and-neck MR images. The multi-atlas segmentation utilizes a hybrid deformable image registration to map the target subject to multiple patients' images, applies the transformation to the corresponding segmented parotid glands, and subsequently uses the multiple patient-specific pairs (head-and-neck MR image and transformed parotid-gland mask) to train support vector machine (SVM) to reach consensus to segment the parotid gland of the target subject. This segmentation algorithm was tested with head-and-neck MRIs of 5 patients following radiotherapy for the nasopharyngeal cancer. The average parotid-gland volume overlapped 85% between the automatic segmentations and the physicians' manual contours. In conclusion, we have demonstrated the feasibility of an automatic multi-atlas based segmentation algorithm to segment parotid glands in head-and-neck MR images. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1117/12.2007783 | Proceedings of SPIE |
Keywords | Field | DocType |
Image registration,support vector machine,segmentation,MRI,parotid gland,head-and-neck cancer,radiation toxicity,xerostomia | Computer vision,Segmentation,Radiation therapy,Atlas (anatomy),Artificial intelligence,Radiology,Contouring,Head and neck cancer,Parotid gland,Image registration,Magnetic resonance imaging,Physics | Conference |
Volume | Issue | ISSN |
8670 | null | 0277-786X |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guanghui Cheng | 1 | 2 | 1.40 |
| Xiaofeng Yang | 2 | 12 | 1.98 |
| Ning Wu | 3 | 1 | 0.36 |
| Zhijian Xu | 4 | 1 | 0.70 |
| Hongfu Zhao | 5 | 1 | 0.36 |
| Yuefeng Wang | 6 | 1 | 0.36 |
| Tian Liu | 7 | 1 | 0.36 |