Graphical programming interface: A development environment for MRI methods

To introduce a multiplatform, Python language‐based, development environment called graphical programming interface for prototyping MRI techniques.

[1]  Dwight G. Nishimura,et al.  Rapid gridding reconstruction with a minimal oversampling ratio , 2005, IEEE Transactions on Medical Imaging.

[2]  J. Pipe Motion correction with PROPELLER MRI: Application to head motion and free‐breathing cardiac imaging , 1999, Magnetic resonance in medicine.

[3]  James G. Pipe,et al.  Convolution kernel design and efficient algorithm for sampling density correction , 2009, Magnetic resonance in medicine.

[4]  Nicholas R Zwart,et al.  A new design and rationale for 3D orthogonally oversampled k‐space trajectories , 2011, Magnetic resonance in medicine.

[5]  Fred L. Drake,et al.  The Python Language Reference Manual , 1999 .

[6]  Travis E. Oliphant,et al.  Python for Scientific Computing , 2007, Computing in Science & Engineering.

[7]  Nicholas R Zwart,et al.  Spiral trajectory design: A flexible numerical algorithm and base analytical equations , 2014, Magnetic resonance in medicine.

[8]  Mark Summerfield,et al.  Rapid GUI Programming with Python and Qt: The Definitive Guide to PyQt Programming , 2007 .

[9]  David Abrahams,et al.  Building hybrid systems with Boost.Python , 2003 .

[10]  David M. Beazley,et al.  SWIG: An Easy to Use Tool for Integrating Scripting Languages with C and C++ , 1996, Tcl/Tk Workshop.

[11]  J. Pipe,et al.  Sampling density compensation in MRI: Rationale and an iterative numerical solution , 1999, Magnetic resonance in medicine.

[12]  Zhiqiang Li,et al.  Revised motion estimation algorithm for PROPELLER MRI , 2014, Magnetic resonance in medicine.

[13]  Michel F. Sanner,et al.  ViPEr , a Visual programming Environment for Python , 2001 .

[14]  David H. Laidlaw,et al.  The application visualization system: a computational environment for scientific visualization , 1989, IEEE Computer Graphics and Applications.

[15]  Steven G. Johnson,et al.  The Design and Implementation of FFTW3 , 2005, Proceedings of the IEEE.

[16]  J G Pipe,et al.  PROPELLER MRI: Clinical testing of a novel technique for quantification and compensation of head motion , 2001, Journal of magnetic resonance imaging : JMRI.

[17]  James G Pipe,et al.  Distributed spirals: A new class of three‐dimensional k‐space trajectories , 2013, Magnetic resonance in medicine.

[18]  John D. Hunter,et al.  Matplotlib: A 2D Graphics Environment , 2007, Computing in Science & Engineering.

[19]  Michael Schacht Hansen,et al.  Gadgetron: An open source framework for medical image reconstruction , 2013, Magnetic resonance in medicine.

[20]  A. Macovski,et al.  Selection of a convolution function for Fourier inversion using gridding [computerised tomography application]. , 1991, IEEE transactions on medical imaging.

[21]  J. Pipe Reconstructing MR images from undersampled data: Data‐weighting considerations , 2000, Magnetic resonance in medicine.

[22]  Nicholas R Zwart,et al.  Efficient sample density estimation by combining gridding and an optimized kernel , 2012, Magnetic resonance in medicine.