Functional and dynamic magnetic resonance imaging using vector adaptive weights smoothing

Jörg Polzehl, Vladimir G. Spokoiny

Результат исследований: Вклад в журналСтатьярецензирование

13 Цитирования (Scopus)

Аннотация

We consider the problem of statistical inference for functional and dynamic magnetic resonance imaging (MRI). A new approach is proposed which extends the adaptive weights smoothing procedure of Polzehl and Spokoiny that was originally designed for image denoising. We demonstrate how the adaptive weights smoothing method can be applied to time series of images, which typically occur in functional and dynamic MRI. It is shown how signal detection in functional MRI and the analysis of dynamic MRI can benefit from spatially adaptive smoothing. The performance of the procedure is illustrated by using real and simulated data.

Язык оригиналаАнглийский
Страницы (с-по)485-501
Число страниц17
ЖурналJournal of the Royal Statistical Society. Series C: Applied Statistics
Том50
Номер выпуска4
DOI
СостояниеОпубликовано - 2001
Опубликовано для внешнего пользованияДа

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