دورية أكاديمية

Clustering-Based Linear Least Square Fitting Method for Generation of Parametric Images in Dynamic FDG PET Studies

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
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
الوصف
تدمد:16874188
16874196
DOI:10.1155/2007/65641