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Keo, Chea. Vertebral segmentation using gradient vector flow (GVF) field. Master's Degree(Informatics). Burapha University. Library. : Burapha University, 2017.
Vertebral segmentation using gradient vector flow (GVF) field
Name: Keo, Chea
ThaSH:
Osteoporosis
ThaSH:
Vector fields
ThaSH:
Physics Vector analysis
ThaSH:
Vector analysis
ThaSH:
วิทยานิพนธ์
-- ภาษาอังกฤษ
Abstract:
Bone mineral density (BMD) is the quantity of bone mineral in bone tissue used to analyze osteoporosis. To measuring the BMD, this proposed approach applies the four main steps. First of all, segment the vertebral pose by using Gradient Vector Flow (GVF) Field. In this step, cropping the original x-ray image to remove unnecessary object is applied by using Vertical Projection and Normal Distribution. Then, GVF Field is applied to get the feature from the cropped image. Horizontal vector field is considered in detecting the position of vertebral pose. The accuracy in detecting vertebral pose of this proposed methodology is 84.75%. Secondly, the boundary of vertebral spine is detected by using GVF-Snake. The correctness of GVF-Snake in detecting vertebral boundary is 90.47%. Thirdly, this approach finds the bone lesion by using the modified average intensity. The modified average intensity is coming from the average intensity plus with constant value. Then, this modified average intensity is taken to compare with all intensity in the image. Any intensity value which is bigger than the modified average intensity is the bone lesion. The accuracy of detecting bone lesion is 61.25%. Finally, this proposed methodology calculates BMD and T-Score to predict bone fracture risk. The result that is predicted from x-ray image has the correctness 51.56%.
Burapha University. Library
Address:
CHONBURI
Email:
buulibrary@buu.ac.th
Name: Krisana Chinnasarn
Role:
Principal advisor
Name: Annupan Rodtook
Role:
Co-advisor
Created:
2017
Modified:
2565-02-22
Issued:
2019-07-04
วิทยานิพนธ์/Thesis
application/pdf
CallNumber:
Th 515.63 Ke37V
eng
DegreeName: Master of Science
Level: Master's Degree
Descipline: Informatics
Grantor: Burapha University
©copyrights Burapha University
RightsAccess:
ใช้เวลา
0.045467 วินาที
Keo, Chea
| Title | Contributor | Type |
|---|---|---|
| Vertebral segmentation using gradient vector flow (GVF) field
มหาวิทยาลัยบูรพา Keo, Chea | Krisana Chinnasarn Annupan Rodtook | วิทยานิพนธ์/Thesis |
Krisana Chinnasarn
| Title | Creator | Type and Date Create |
|---|---|---|
| Segmentation of vertebral body in low radiation image for prediction of osteoporosis disease
มหาวิทยาลัยบูรพา Krisana Chinnasarn;Annupan Rodtook | Sukonthee Sungkhun | วิทยานิพนธ์/Thesis |
| Vertebral segmentation using gradient vector flow (GVF) field
มหาวิทยาลัยบูรพา Krisana Chinnasarn;Annupan Rodtook | Keo, Chea | วิทยานิพนธ์/Thesis |
| Automated optic disc and cup segmentation in complex environments
มหาวิทยาลัยบูรพา Krisana Chinnasarn;Annupan Rodtook | Wuttichai Luangruangrong | วิทยานิพนธ์/Thesis |
Annupan Rodtook