دورية أكاديمية
Robust Initialization of Active Shape Models for Lung Segmentation in CT Scans: A Feature-Based Atlas Approach
| العنوان: | Robust Initialization of Active Shape Models for Lung Segmentation in CT Scans: A Feature-Based Atlas Approach |
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| المؤلفون: | Gurman Gill, Matthew Toews, Reinhard R. Beichel |
| المصدر: | International Journal of Biomedical Imaging, Vol 2014 (2014) |
| بيانات النشر: | Wiley, 2014. |
| سنة النشر: | 2014 |
| المجموعة: | LCC:Medical physics. Medical radiology. Nuclear medicine LCC:Medical technology |
| مصطلحات موضوعية: | Medical physics. Medical radiology. Nuclear medicine, R895-920, Medical technology, R855-855.5 |
| الوصف: | Model-based segmentation methods have the advantage of incorporating a priori shape information into the segmentation process but suffer from the drawback that the model must be initialized sufficiently close to the target. We propose a novel approach for initializing an active shape model (ASM) and apply it to 3D lung segmentation in CT scans. Our method constructs an atlas consisting of a set of representative lung features and an average lung shape. The ASM pose parameters are found by transforming the average lung shape based on an affine transform computed from matching features between the new image and representative lung features. Our evaluation on a diverse set of 190 images showed an average dice coefficient of 0.746 ± 0.068 for initialization and 0.974 ± 0.017 for subsequent segmentation, based on an independent reference standard. The mean absolute surface distance error was 0.948 ± 1.537 mm. The initialization as well as segmentation results showed a statistically significant improvement compared to four other approaches. The proposed initialization method can be generalized to other applications employing ASM-based segmentation. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1687-4188 1687-4196 |
| Relation: | https://doaj.org/toc/1687-4188; https://doaj.org/toc/1687-4196 |
| DOI: | 10.1155/2014/479154 |
| URL الوصول: | https://doaj.org/article/45891e23638747fc878148e7df4cd9ec |
| رقم الأكسشن: | edsdoj.45891e23638747fc878148e7df4cd9ec |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 16874188 16874196 |
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| DOI: | 10.1155/2014/479154 |