Lung segmentation in CT for thoracic PET-CT registration through visual study
Hybrid Positron Emission Tomography (PET)/Computer Tomography (CT) is a combined device that merges the anatomical and functional information of a patient used most commonly in cancer diagnosis and staging. This device is said to improve co-registration of both the anatomical and functional informat...
| Main Authors: | , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2012
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/41491/1/Lung%20segmentation%20in%20CT%20for%20thoracic%20PET-CT%20registration%20through%20visual%20study.pdf |
| _version_ | 1825928969517531136 |
|---|---|
| author | Mokri, Siti Salasiah Saripan, M. Iqbal Marhaban, Mohammad Hamiruce Nordin, Abdul Jalil |
| author_facet | Mokri, Siti Salasiah Saripan, M. Iqbal Marhaban, Mohammad Hamiruce Nordin, Abdul Jalil |
| author_sort | Mokri, Siti Salasiah |
| collection | UPM |
| description | Hybrid Positron Emission Tomography (PET)/Computer Tomography (CT) is a combined device that merges the anatomical and functional information of a patient used most commonly in cancer diagnosis and staging. This device is said to improve co-registration of both the anatomical and functional information. However, in real clinical practices, voluntary and involuntary patient motions are inevitable during scanning resulting in registration errors. In our study, feature based registration algorithm is to be used to solve such problem focusing on the thoracic region. Thus, segmentation method is chosen as a preliminary step to segment significant anatomical regions such as the lungs. Lungs segmentation in CT image is implemented based on optimal thresholding, region growing, connected component labeling as well as morphological operations. Satisfactory lung boundary segmentation results are obtained through visual inspection for our current dataset; that are deemed agreeable to devise a solution for PET-CT thoracic misregistration. |
| first_indexed | 2024-03-06T08:50:03Z |
| format | Conference or Workshop Item |
| id | upm.eprints-41491 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:50:03Z |
| publishDate | 2012 |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-414912018-10-26T07:12:04Z http://psasir.upm.edu.my/id/eprint/41491/ Lung segmentation in CT for thoracic PET-CT registration through visual study Mokri, Siti Salasiah Saripan, M. Iqbal Marhaban, Mohammad Hamiruce Nordin, Abdul Jalil Hybrid Positron Emission Tomography (PET)/Computer Tomography (CT) is a combined device that merges the anatomical and functional information of a patient used most commonly in cancer diagnosis and staging. This device is said to improve co-registration of both the anatomical and functional information. However, in real clinical practices, voluntary and involuntary patient motions are inevitable during scanning resulting in registration errors. In our study, feature based registration algorithm is to be used to solve such problem focusing on the thoracic region. Thus, segmentation method is chosen as a preliminary step to segment significant anatomical regions such as the lungs. Lungs segmentation in CT image is implemented based on optimal thresholding, region growing, connected component labeling as well as morphological operations. Satisfactory lung boundary segmentation results are obtained through visual inspection for our current dataset; that are deemed agreeable to devise a solution for PET-CT thoracic misregistration. IEEE 2012 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/41491/1/Lung%20segmentation%20in%20CT%20for%20thoracic%20PET-CT%20registration%20through%20visual%20study.pdf Mokri, Siti Salasiah and Saripan, M. Iqbal and Marhaban, Mohammad Hamiruce and Nordin, Abdul Jalil (2012) Lung segmentation in CT for thoracic PET-CT registration through visual study. In: 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES 2012), 17-19 Dec. 2012, Langkawi, Kedah, Malaysia. (pp. 550-554). 10.1109/IECBES.2012.6498040 |
| spellingShingle | Mokri, Siti Salasiah Saripan, M. Iqbal Marhaban, Mohammad Hamiruce Nordin, Abdul Jalil Lung segmentation in CT for thoracic PET-CT registration through visual study |
| title | Lung segmentation in CT for thoracic PET-CT registration through visual study |
| title_full | Lung segmentation in CT for thoracic PET-CT registration through visual study |
| title_fullStr | Lung segmentation in CT for thoracic PET-CT registration through visual study |
| title_full_unstemmed | Lung segmentation in CT for thoracic PET-CT registration through visual study |
| title_short | Lung segmentation in CT for thoracic PET-CT registration through visual study |
| title_sort | lung segmentation in ct for thoracic pet ct registration through visual study |
| url | http://psasir.upm.edu.my/id/eprint/41491/1/Lung%20segmentation%20in%20CT%20for%20thoracic%20PET-CT%20registration%20through%20visual%20study.pdf |
| work_keys_str_mv | AT mokrisitisalasiah lungsegmentationinctforthoracicpetctregistrationthroughvisualstudy AT saripanmiqbal lungsegmentationinctforthoracicpetctregistrationthroughvisualstudy AT marhabanmohammadhamiruce lungsegmentationinctforthoracicpetctregistrationthroughvisualstudy AT nordinabduljalil lungsegmentationinctforthoracicpetctregistrationthroughvisualstudy |