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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Tumor Delineation in PET to generate Gross Tumor Volume- Comparison and Analysis of Four Image Segmentation |
| Authors Name: | Christy Esther S , Devakumar Devadhas |
| Unique Id: | IJSDR2001011 |
| Published In: | Volume 5 Issue 1, January-2020 |
| Abstract: | Numerous image segmentation methods have been developed for the segmentation of tumor in PET. In this article, four image segmentation methods have been compared and evaluated to determine the near accurate method. A series of phantom studies were performed, to determine an most accurate and uniformly applicable method to define the Gross tumor volume (GTV) with PET. The obtained results were affirmative; hence the methods were performed on 10 patient data for accurate delineation of GTV in PET images. Four image segmentation techniques 1) 25% threshold, 2) threshold based Schaefer method, 3) statistical segmentation method, and 4) region growing method, were first tested by a phantom study to determine the GTV in PET images. The methods were then evaluated using patient data in which the segmentation results were compared with the Gross tumor volume (GTV) obtained by manual method. All the four methods showed good results for the phantom study. On the other hand, clinical studies show that, the 25% threshold method gave good segmentation results. The statistical method and region growing method gave consistent good results with a dice similarity coefficient about 96%, while the Schaefer method underestimated the tumor volume. |
| Keywords: | PET. Image Segmentation. Tumor delineation. Gross tumor volume. Radiotherapy treatment planning |
| Cite Article: | "Tumor Delineation in PET to generate Gross Tumor Volume- Comparison and Analysis of Four Image Segmentation ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 1, page no.64 - 69, January-2020, Available :http://www.ijsdr.org/papers/IJSDR2001011.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR2001011 Registration ID:191213 Published In: Volume 5 Issue 1, January-2020 DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.23036 Page No: 64 - 69 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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