دورية أكاديمية
Clustering-Based Linear Least Square Fitting Method for Generation of Parametric Images in Dynamic FDG PET Studies
العنوان: | Clustering-Based Linear Least Square Fitting Method for Generation of Parametric Images in Dynamic FDG PET Studies |
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المؤلفون: | Xinrui Huang, Yun Zhou, Shangliang Bao, Sung-Cheng Huang |
المصدر: | International Journal of Biomedical Imaging, Vol 2007 (2007) |
بيانات النشر: | Hindawi Limited, 2007. |
سنة النشر: | 2007 |
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: | Parametric images generated from dynamic positron emission tomography (PET) studies are useful for presenting functional/biological information in the 3-dimensional space, but usually suffer from their high sensitivity to image noise. To improve the quality of these images, we proposed in this study a modified linear least square (LLS) fitting method named cLLS that incorporates a clustering-based spatial constraint for generation of parametric images from dynamic PET data of high noise levels. In this method, the combination of K-means and hierarchical cluster analysis was used to classify dynamic PET data. Compared with conventional LLS, cLLS can achieve high statistical reliability in the generated parametric images without incurring a high computational burden. The effectiveness of the method was demonstrated both with computer simulation and with a human brain dynamic FDG PET study. The cLLS method is expected to be useful for generation of parametric images from dynamic FDG PET study. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 1687-4188 1687-4196 |
العلاقة: | https://doaj.org/toc/1687-4188Test; https://doaj.org/toc/1687-4196Test |
DOI: | 10.1155/2007/65641 |
الوصول الحر: | https://doaj.org/article/b12f2e773bb84ba8b3e456ca8d55a92bTest |
رقم الانضمام: | edsdoj.b12f2e773bb84ba8b3e456ca8d55a92b |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 16874188 16874196 |
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DOI: | 10.1155/2007/65641 |