Analysis of functional magnetic resonance imaging in Python']Python

被引：53

作者：

Millman, K. Jarrod ^{[1
]}

Brett, Matthew

机构：

[1] Univ Calif Berkeley, Helen Wills Neurosci Inst, Berkeley, CA 94720 USA

[2] MRC, Cognit & Brain Sci Unit, Cambridge, England

来源：

COMPUTING IN SCIENCE & ENGINEERING | 2007年 / 9卷 / 03期

关键词：

D O I：

10.1109/MCSE.2007.46

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The authors describe a package for analyzing magnetic resonance imaging (MRI) and functional MRI ( fMRI) data, which is part of the Neuroimaging in Python (NIPY) project. An international group of leading statisticians, physicists, programmers, and neuroimaging methodologists are developing NIPY for wider use.

引用

页码：52 / 55

页数：4

共 5 条

[1] Locating chronically implanted subdural electrodes using surface reconstruction [J].

Hunter, JD ;

Hanan, DM ;

Singer, BF ;

Shaikh, S ;

Brubaker, KA ;

Hecox, KE ;

Towle, VL .

CLINICAL NEUROPHYSIOLOGY, 2005, 116 (08) :1984-1987

[2]

MILLMAN KJ, 2006, P INT ADV DAT C, P24

[3] Inference for magnitudes and delays of responses in the FIAC data using BRAINSTAT/FMRISTAT [J].

Taylor, JE ;

Worsley, KJ .

HUMAN BRAIN MAPPING, 2006, 27 (05) :434-441

[4]

TAYLOR JE, 2005, NEUROIMAGE, V26

[5]

Toga A. W., 2002, BRAIN MAPPING METHOD

← 1 →