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mrirecon/bart: version 0.9.00

Authors: Blumenthal, Moritz; Heide, Martin; Holme, Christian; Juschitz, Martin; Rapp, Bernhard; Schaten, Philip; Scholand, Nick; +3 Authors

mrirecon/bart: version 0.9.00

Abstract

Changes: new tools: nlmeans, tensorflow, nufftbase, calc, psf calc: access some mathematical functions from the command-line nlmean: non-local means filter tensorflow: load and apply Tensorflow graph nufftbase: compute Fourier transform of basis used in nuFFT psf: compute PSF nufft: various new options to control behavior nufft: basis and weights nufft: zero and low memory modes nufft: use -x for image dimensions sim: Bloch-McConnell simulations traj: rotation of Cartesian trajectories traj: RAGA trajectories reconet: MPI support reconet: tensorflow graph support reconet: export graph for visualization pics: mpi and multi-GPU support pics: add shared-img-dims option to pics pics: add option to specify FISTA pics: preconditioning nlinv: add option to specifiy non-Cart image size phantom: BRAIN geometry phantom: 64ch sensitivities phantom: ellipsoid simulation phantom: support for generic geometries mobafit: add basis to mobafit mobafit: add IR and IR LL to mobafit mobafit: magnitude fitting mobafit: scaling and initial values mobafit: minimum and maximum bounds mobafit: GPU support nrmse: add option for scientific notation moba: Export and ksp coils in moba moba: Various new options estdelay: support for looping version: show tensorflow and MPI support signal: Spin-Echo signal model scripts/shell: kspace_precond.sh: Script to compute k-space preconditioner scripts/python: bart_tf.py: Export tensorflow graphs for use with BART scripts/python: bart.py: Print stdout and stderr output from bart call scripts/python: splines_from_svg.py: extract spline control points from SVG files library/geom: Brain geometry library/misc: better backtraces library/num: md_ravel_index, md_select_strides, md_zsmin2, md_unravel library/num: library for complex-valued Gaussians library/num: cuda kernels: zdot, zfsq2, zfftmod_3d, zsmin, compress, decompress library/num: cuda batch kernels: xpay, axpy, dot_bat library/num: cuda kernels: (z)add_unfold, (z)mul(c)_unfold, (z)fmac(c)_unfold library/num: md_nlmeans(2), md_nlmeans_distance(2) library/num: library for MPI sync, broadcast, reductions library/num: double precision bessel function library/num: special functions: sinc, sincf, jinc library/num: library for virtual pointers library/num: time-ordered matrix exponentials: mat_to_exp library/num: functions for adjoint sensitivity analysis library/num: functions for quadratures: trapezoidal, simpson library/num: configure fftw wisdom/measure via environment variable library/simu: Bloch McConnell simulations library/simu: Spin Echo signal model library/linops: linop: flip library/nlops: nlops: zphsr and zabs library/nn: nlops: ardioid, siglog, igaussian library/network: tensorflow networks library/noncart: nufft inverse gridding on GPU library/noncart: RAGA trajectories library/iter: weighted least-squares prox function library/iter: batched conjgrad library/iter: multiple regularizations for primal-dual general: webasm support general: BART_ prefix to environment variables general: generic loop interface to bart general: basic MPI support general: OpenMPI and GPU for gridding general: zero-overhead mode for nuFFT general: performance improvements general: many GPU improvements, unified GPU initialization built: FORTRAN and PNG options built: LTO integration test built: OMP=0 CUDA=1 compilation built: more unit and integration tests many other bug fixes and improvements

Keywords

computational magnetic resonance imaging, magnetic resonance imaging, deep learning, parallel imaging, computational imaging, compressed sensing

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
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