Automated detection and segmentation of vertebral bodies in volumetric abdominal magnetic resonance images
Detection and segmentation of the column of vertebral bodies are intermediate steps required to identify the bone marrow which is considered as the wrongly labeled visceral adipose tissue in the assessment of abdominal obesity. Motivated by the necessity, a fully automated algorithm is designed to d...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2012
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| Online Access: | http://hdl.handle.net/10356/50888 |
| _version_ | 1824455410583601152 |
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| author | Lin, Dehui. |
| author2 | Vitali Zagorodnov |
| author_facet | Vitali Zagorodnov Lin, Dehui. |
| author_sort | Lin, Dehui. |
| collection | NTU |
| description | Detection and segmentation of the column of vertebral bodies are intermediate steps required to identify the bone marrow which is considered as the wrongly labeled visceral adipose tissue in the assessment of abdominal obesity. Motivated by the necessity, a fully automated algorithm is designed to detect and segment the column of vertebral bodies in the volumetric abdominal magnetic resonance images. In addition, the feasibility of the use of frequency domain to detect the vertebral bodies is also evaluated through the performance of the algorithm. In the development of the algorithm, common image processing techniques such as discrete Fourier transform and thresholding are used to detect and segment the vertebral bodies. In total, 21 data sets of abdominal magnetic resonance images are used to test the performance of the algorithm. Accuracy rates of 98.6% in detection and 93.7% in segmentation are achieved. In spite of different resolutions, equally good performance of the algorithm is observed. The efficient and effective automated algorithm proves the usefulness of frequency domain in detecting the column of vertebral bodies and the accuracy of finding the volumes of vertebral bodies. |
| first_indexed | 2025-02-19T03:37:46Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/50888 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:37:46Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | ntu-10356/508882023-03-03T20:38:11Z Automated detection and segmentation of vertebral bodies in volumetric abdominal magnetic resonance images Lin, Dehui. Vitali Zagorodnov School of Computer Engineering Centre for Computational Intelligence DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Detection and segmentation of the column of vertebral bodies are intermediate steps required to identify the bone marrow which is considered as the wrongly labeled visceral adipose tissue in the assessment of abdominal obesity. Motivated by the necessity, a fully automated algorithm is designed to detect and segment the column of vertebral bodies in the volumetric abdominal magnetic resonance images. In addition, the feasibility of the use of frequency domain to detect the vertebral bodies is also evaluated through the performance of the algorithm. In the development of the algorithm, common image processing techniques such as discrete Fourier transform and thresholding are used to detect and segment the vertebral bodies. In total, 21 data sets of abdominal magnetic resonance images are used to test the performance of the algorithm. Accuracy rates of 98.6% in detection and 93.7% in segmentation are achieved. In spite of different resolutions, equally good performance of the algorithm is observed. The efficient and effective automated algorithm proves the usefulness of frequency domain in detecting the column of vertebral bodies and the accuracy of finding the volumes of vertebral bodies. Bachelor of Engineering (Computer Science) 2012-12-13T08:25:14Z 2012-12-13T08:25:14Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/50888 en Nanyang Technological University 34 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Lin, Dehui. Automated detection and segmentation of vertebral bodies in volumetric abdominal magnetic resonance images |
| title | Automated detection and segmentation of vertebral bodies in volumetric abdominal magnetic resonance images |
| title_full | Automated detection and segmentation of vertebral bodies in volumetric abdominal magnetic resonance images |
| title_fullStr | Automated detection and segmentation of vertebral bodies in volumetric abdominal magnetic resonance images |
| title_full_unstemmed | Automated detection and segmentation of vertebral bodies in volumetric abdominal magnetic resonance images |
| title_short | Automated detection and segmentation of vertebral bodies in volumetric abdominal magnetic resonance images |
| title_sort | automated detection and segmentation of vertebral bodies in volumetric abdominal magnetic resonance images |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
| url | http://hdl.handle.net/10356/50888 |
| work_keys_str_mv | AT lindehui automateddetectionandsegmentationofvertebralbodiesinvolumetricabdominalmagneticresonanceimages |