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  4. IMPACT: Image-based physiological artifacts estimation and correction technique for functional MRI
 
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IMPACT: Image-based physiological artifacts estimation and correction technique for functional MRI

Journal
Magnetic Resonance in Medicine
Journal Volume
46
Journal Issue
2
Pages
344 - 353
Date Issued
2001-01
Author(s)
Kai-Hsiang Chuang
JYH-HORNG CHEN  
DOI
10.1002/mrm.1197
URI
http://scholars.lib.ntu.edu.tw/handle/123456789/294380
https://www.scopus.com/inward/record.uri?eid=2-s2.0-0034904235&doi=10.1002%2fmrm.1197&partnerID=40&md5=46698357bee7382c4f5857e5c0376578
Abstract
Functional MRI (fMRI) signal variation induced by respiratory and cardiac motion affects the activation signal and limits the accuracy of analysis. Current physiological motion correction methods require either synchronization with external monitoring of respiration and heartbeat, specialized pulse sequence design, or k-space data. The IMage-based Physiological Artifacts estimation and Correction Technique (IMPACT), which is free from these constraints, is described. When images are acquired fast enough to sample physiological motion without aliasing, respiratory and cardiac signals can be directly estimated from magnitude images. Physiological artifacts are removed by reordering images according to the estimated respiratory and cardiac phases and then subtracting the Fourier-fitted variation from magnitude images. Compared with the k-space-based method, this method can efficiently and effectively reduce the overall signal fluctuation in the brain and increase the activated area. With this new technique, physiological artifacts can be reduced using traditional fMRI pulse sequences, and existing data can be corrected and reanalyzed without additional experiments. © 2001 Wiley-Liss, Inc.
Subjects
Functional MRI; Image processing; Motion artifact; Physiological noise; Retrospective motion correction
SDGs

[SDGs]SDG3

Other Subjects
Activation analysis; Image processing; Physiology; Accuracy of analysis; Additional experiments; Correction techniques; Functional MRI; Functional MRI (fMRI); Motion artifact; Motion correction; Physiological noise; Magnetic resonance imaging; adult; article; artifact; artifact reduction; breathing pattern; data analysis; female; heart cycle; human; human experiment; image processing; male; normal human; nuclear magnetic resonance imaging; signal noise ratio
Type
journal article

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