𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A new method for detecting brain activities from fMRI dataset

✍ Scribed by Huafu Chen; Dezhong Yao; Lin Chen

Book ID
114296354
Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
115 KB
Volume
48
Category
Article
ISSN
0925-2312

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A split–merge-based region-growing metho
A split–merge-based region-growing method for fMRI activation detection
✍ Yingli Lu; Tianzi Jiang; Yufeng Zang 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 293 KB

## Abstract We introduce a hybrid method for functional magnetic resonance imaging (fMRI) activation detection based on the well‐developed split–merge and region‐growing techniques. The proposed method includes conjoining both of the spatio‐temporal priors inherent in split–merge and the prior info

Removal of phase artifacts from fMRI dat
Removal of phase artifacts from fMRI data using a Stockwell transform filter improves brain activity detection
✍ Bradley G. Goodyear; Hongmei Zhu; Robert A. Brown; J. Ross Mitchell 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 221 KB

## Abstract A novel and automated technique is described for removing fMRI image artifacts resulting from motion outside of the imaging field of view. The technique is based on the Stockwell transform (ST), a mathematical operation that provides the frequency content at each time point within a tim

A hypercapnia-based normalization method
A hypercapnia-based normalization method for improved spatial localization of human brain activation with fMRI
✍ Peter A. Bandettini; Eric C. Wong 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 313 KB 👁 1 views

An issue in blood oxygenation level dependent contrast-based functional MRI is the accurate interpretation of the activation-induced signal changes. Hemodynamic factors other than activation-induced changes in blood oxygenation are known to contribute to the signal change magnitudes and dynamics, an