التفاصيل البيبلوغرافية
| العنوان: |
Clustering-Based Linear Least Square Fitting Method for Generation of Parametric Images in Dynamic FDG PET Studies |
| المؤلفون: |
Xinrui Huang, Yun Zhou, Shangliang Bao, Sung-Cheng Huang |
| بيانات النشر: |
International Journal of Biomedical Imaging |
| سنة النشر: |
2007 |
| المجموعة: |
Hindawi Publishing Corporation |
| 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 in journal/newspaper |
| اللغة: |
English |
| العلاقة: |
https://doi.org/10.1155/2007/65641Test |
| DOI: |
10.1155/2007/65641 |
| الإتاحة: |
https://doi.org/10.1155/2007/65641Test |
| حقوق: |
Copyright © 2007 Xinrui Huang et al. |
| رقم الانضمام: |
edsbas.23AA09DC |
| قاعدة البيانات: |
BASE |
