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Merge pull request #3 from NordicMRspine/setup
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Package initial version
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alexjaffray authored Aug 21, 2023
2 parents 9024982 + ad4225f commit 5f2cd07
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2 changes: 1 addition & 1 deletion .github/workflows/CI.yml
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Expand Up @@ -18,7 +18,7 @@ jobs:
fail-fast: false
matrix:
version:
- '1.1'
- '1.6'
- '1.8'
- 'nightly'
os:
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4 changes: 3 additions & 1 deletion .gitignore
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*.jl.*.cov
*.jl.cov
*.jl.mem
/Manifest.toml
Manifest.toml
.vscode
.DS_Store
23 changes: 21 additions & 2 deletions Project.toml
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Expand Up @@ -3,11 +3,30 @@ uuid = "eacce8a8-16e1-4f0a-a125-bfe7a196bd66"
authors = ["Laura Beghini"]
version = "0.1.0"

[deps]
DSP = "717857b8-e6f2-59f4-9121-6e50c889abd2"
DataInterpolations = "82cc6244-b520-54b8-b5a6-8a565e85f1d0"
FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
Images = "916415d5-f1e6-5110-898d-aaa5f9f070e0"
JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
MRIBase = "f7771a9a-6e57-4e71-863b-6e4b6a2f17df"
MRICoilSensitivities = "c57eb701-aafc-44a2-a53c-128049758959"
MRIFiles = "5a6f062f-bf45-497d-b654-ad17aae2a530"
MRIReco = "bdf86e05-2d2b-5731-a332-f3fe1f9e047f"
NIfTI = "a3a9e032-41b5-5fc4-967a-a6b7a19844d3"
PolygonOps = "647866c9-e3ac-4575-94e7-e3d426903924"
REPL = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb"
Scratch = "6c6a2e73-6563-6170-7368-637461726353"
Setfield = "efcf1570-3423-57d1-acb7-fd33fddbac46"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"

[compat]
julia = "1.1"
julia = "1.3"

[extras]
LazyArtifacts = "4af54fe1-eca0-43a8-85a7-787d91b784e3"
Scratch = "6c6a2e73-6563-6170-7368-637461726353"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["Test"]
test = ["LazyArtifacts", "Scratch", "Test"]
16 changes: 16 additions & 0 deletions README.md
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[![Build Status](https://github.com/Laura2305/MRINavigator.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/Laura2305/MRINavigator.jl/actions/workflows/CI.yml?query=branch%3Amain)
[![Coverage](https://codecov.io/gh/Laura2305/MRINavigator.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/Laura2305/MRINavigator.jl)

MRINavigator.jl provides multiple navigator-based correction pipelines for magnetic resonance data. These aim at demodulating time dependent field variations. The package was developed with a focus on spinal cord imaging, however it can be used for multiple imaging applications.
The corrections are to be applied on the raw data before the image reconstruction. MRIReco.jl can be used to reconstruct the images.

More details can be found in the Online Documentation (soon to be published).

MRIReco reference: https://onlinelibrary.wiley.com/doi/epdf/10.1002/mrm.28792

## How to give credit

soon to be published


## Community Standards

This project is part of the Julia community and follows the [Julia community standards](https://julialang.org/community/standards/).
310 changes: 310 additions & 0 deletions src/AdjustData.jl
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export OrderSlices!, ExtractNoiseData!, ReverseBipolar!, RemoveRef!, CopyTE!, AdjustSubsampleIndices!, ExtractNavigator, ExtractFlags, selectEcho!, selectSlice!

"""
OrderSlices!(rawData::RawAcquisitionData)
Spatially order the slices in the MRIReco.jl raw data structure.
The slices are ordered basing on the position coordinates saved in each profile.
If these are not present the slices can not be ordered.
MRIReco reference: https://onlinelibrary.wiley.com/doi/epdf/10.1002/mrm.28792
# Arguments
* `rawData::RawAcquisitionData` - raw data structure obtained loading raw data with MRIReco.jl
"""
function OrderSlices!(rawData::RawAcquisitionData)

total_num = length(rawData.profiles)
slices = zeros(typeof(rawData.profiles[1].head.position[3]), total_num)

for ii = 1:total_num
slices[ii] = rawData.profiles[ii].head.position[3]
end

unique!(slices)
slices_indx = sortperm(sortperm(slices))

for ii = 1:total_num
index = rawData.profiles[ii].head.position[3] .== slices
rawData.profiles[ii].head.idx.slice = slices_indx[index][1]-1
end

end


"""
flags = ExtractFlags(rawData::RawAcquisitionData)
Extract the acquisition flags from the MRIReco.jl raw data profiles.
Return a 31 elements vector for each profile.
MRIReco reference: https://onlinelibrary.wiley.com/doi/epdf/10.1002/mrm.28792
# Arguments
* `rawData::RawAcquisitionData` - raw data structure obtained loading raw data with MRIReco.jl
"""
function ExtractFlags(rawData::RawAcquisitionData)

total_num = length(rawData.profiles)
flags = zeros(Int64, total_num, 31)

for ii=1:total_num
flags[ii,:] = digits(rawData.profiles[ii].head.flags, base = 2, pad=31)
end

return flags

end


"""
noisemat = ExtractNoiseData!(rawData::RawAcquisitionData, flags::Array{Int64})
Extract and return the noise acquisition from the MRIReco.jl raw data.
The noise acquisition is usually the first profile with slice = 0, contrast = 0, repetition = 0.
The noise profile should have the 19th flag element qual to 1. Check with ExtractFlags if errors occur.
MRIReco reference: https://onlinelibrary.wiley.com/doi/epdf/10.1002/mrm.28792
# Arguments
* `rawData::RawAcquisitionData` - raw data structure obtained loading raw data with MRIReco.jl
"""
function ExtractNoiseData!(rawData::RawAcquisitionData)

flags = ExtractFlags(rawData)
total_num = length(rawData.profiles)

if total_num != size(flags, 1)
@error "size of flags and number of profiles in rawData do not match"
end

noisemat = Matrix{typeof(rawData.profiles[1].data)}

for ii=1:total_num

# noise acquisition flag in ISMRMRD format
if flags[ii,19] == true
noisemat = rawData.profiles[ii].data
deleteat!(rawData.profiles, ii)
break
end

end

return noisemat

end


"""
ReverseBipolar!(rawData::RawAcquisitionData)
Reflect the MRIReco.jl raw data profiles for bipolar acquisition.
MRIReco reference: https://onlinelibrary.wiley.com/doi/epdf/10.1002/mrm.28792
# Arguments
* `rawData::RawAcquisitionData` - raw data structure obtained loading raw data with MRIReco.jl
"""
function ReverseBipolar!(rawData::RawAcquisitionData)

flags = ExtractFlags(rawData)
total_num = length(rawData.profiles)

if total_num != size(flags, 1)
@error "size of flags and number of profiles in rawData do not match"
end

for ii=1:total_num

# reflect line flag in ISMRMRD format
if flags[ii,22] == true
reverse!(rawData.profiles[ii].data, dims=1)
rawData.profiles[ii].head.flags=rawData.profiles[ii].head.flags-(2^21)
end

end

end


"""
RemoveRef!(rawData::RawAcquisitionData, slices::Union{Vector{Int64}, Nothing}, echoes::Union{Vector{Int64}, Nothing})
Remove reference data that are not useful for the navigator-based crrection from acquisitions with phase stabilization on Siemens scanners.
Not solid to recalls.
MRIReco reference: https://onlinelibrary.wiley.com/doi/epdf/10.1002/mrm.28792
# Arguments
* `rawData::RawAcquisitionData` - raw data structure obtained loading raw data with MRIReco.jl
"""
function RemoveRef!(rawData::RawAcquisitionData)

numSlices = rawData.params["enc_lim_slice"].maximum + 1
numEchoes = size(rawData.params["TE"],1) + 1

#Apply this only if using phase stabilizaion
removeIndx = numSlices*(numEchoes)
deleteat!(rawData.profiles, 1:removeIndx)

end


"""
CopyTE!(rawData::RawAcquisitionData, acqData::AcquisitionData)
Copy the TE values from the MRIReco.jl raw data structure to the acquisition data structure.
MRIReco reference: https://onlinelibrary.wiley.com/doi/epdf/10.1002/mrm.28792
# Arguments
* `rawData::RawAcquisitionData` - raw data structure obtained loading raw data with MRIReco.jl
* `acqData::AcquisitionData` - acquisition data structure obtained converting raw data with MRIReco.jl
"""
function CopyTE!(rawData::RawAcquisitionData, acqData::AcquisitionData)

for ii=1:size(acqData.kdata)[1]
acqData.traj[ii].TE = deepcopy(rawData.params["TE"][ii])
end

end


"""
AdjustSubsampleIndices!(acqData::AcquisitionData)
Add subsamples indices in the MRIReco.jl acquisition data structure.
Needed when conveting data not acquired in the first repetition.
MRIReco reference: https://onlinelibrary.wiley.com/doi/epdf/10.1002/mrm.28792
# Arguments
* `acqData::AcquisitionData` - acquisition data structure obtained converting raw data with MRIReco.jl
"""
function AdjustSubsampleIndices!(acqData::AcquisitionData)

if isempty(acqData.subsampleIndices[1])

for ii = 1:size(acqData.subsampleIndices)[1]
acqData.subsampleIndices[ii]=1:size(acqData.kdata[1,1,1])[1]
end

end

end


"""
(nav, nav_time) = ExtractNavigator(rawData::RawAcquisitionData, slices::Union{Vector{Int64}, Nothing})
Extract the navigator profiles from the MRIReco.jl raw data structure.
These are registered with the same indices (contract, slice, encoding step) as the image data for the first echo time.
Return a navigator array and a navigator time array. The navigator array has four dimensions in order: k-space samples, coils, k-space lines, slices.
MRIReco reference: https://onlinelibrary.wiley.com/doi/epdf/10.1002/mrm.28792
# Arguments
* `rawData::RawAcquisitionData` - raw data structure obtained loading raw data with MRIReco.jl
"""
function ExtractNavigator(rawData::RawAcquisitionData)

total_num = length(rawData.profiles)
numberslices = rawData.params["enc_lim_slice"].maximum +1
contrasts = zeros(Int64, total_num)
slices = zeros(Int64, total_num)
lines = zeros(Int64, total_num)

for ii = 1:total_num

contrasts[ii] = rawData.profiles[ii].head.idx.contrast
slices[ii] = rawData.profiles[ii].head.idx.slice
lines[ii] = rawData.profiles[ii].head.idx.kspace_encode_step_1

end

# keep only the indexes of data saved in the first echo (this includes navigator)
contrastsIndx = findall(x->x==0, contrasts)
slices = slices[contrastsIndx]
lines = lines[contrastsIndx]

nav = zeros(typeof(rawData.profiles[1].data[1,1]), size(rawData.profiles[1].data)[1], size(rawData.profiles[1].data)[2], rawData.params["reconSize"][2], numberslices)

nav_time = zeros(Float64, rawData.params["reconSize"][2], numberslices)

#Odd indexes are data first echo, Even indexes are navigator data
for ii = 2:2:length(slices)

nav[:,:,lines[ii]+1,slices[ii]+1] = rawData.profiles[contrastsIndx[ii]].data
nav_time[lines[ii]+1,slices[ii]+1] = rawData.profiles[contrastsIndx[ii]].head.acquisition_time_stamp

end

#Remove the rows filled with zeroes
lines = unique(lines) .+1
nav = nav[:,:,lines,:]
nav_time = nav_time[lines,:]

return nav, nav_time
#navigator[k-space samples, coils, k-space lines, slices]

end

"""
SelectEcho!(acqd, idx_echo)
Extract one or more echoes from the acquisition data structure
# Arguments
* `acqd::AcquisitionData` - acquisition data structure obtained converting raw data with MRIReco.jl
* `idx_echo::Vector{Int64}` - vector containing the indexes of the echoes to be selected (starting from 0)
MRIReco reference: https://onlinelibrary.wiley.com/doi/epdf/10.1002/mrm.28792
"""
function selectEcho!(acqd::AcquisitionData, idx_echo::Vector{Int64})

if !isempty(idx_echo)

contrasts = size(acqd.kdata)[1]
indices = Vector{Int64}(undef, contrasts)

for ii=1:contrasts
indices[ii] = ii
end

deleteat!(indices, idx_echo)
deleteat!(acqd.subsampleIndices, indices)
deleteat!(acqd.traj, indices)
acqd.kdata = acqd.kdata[idx_echo,:,:]

end
end

"""
SelectSlice!(acqd, nav, nav_time, idx_slice)
Extract one or more echoes from the acquisition data structure
# Arguments
* `acqd::AcquisitionData` - acquisition data structure obtained converting raw data with MRIReco.jl
* `idx_slice::Vector{Int64}` - vector containing the indexes of the slices to be selected (starting from 0, downer slice)
# Optional arguments with default value = nothing
* `nav::Union{Array{Complex{T}, 4}, Nothin} = nothing` - navigator profiles obtained with the ExtractNavigator function
* `nav_time::Union{Array{Complex{Float32}, 2}, Nothing}` - time stamps for the navigator data obtained with ExtractNavigator (in ms from the beginning of the day)
MRIReco reference: https://onlinelibrary.wiley.com/doi/epdf/10.1002/mrm.28792
"""
function selectSlice!(acqd::AcquisitionData, idx_slice::Vector{Int64}, nav::Union{Array{Complex{T}, 4}, Nothing} = nothing, nav_time::Union{Array{Float64, 2}, Nothing} = nothing) where {T}

# get kdata from slice
acqd.kdata = acqd.kdata[:,idx_slice,:]

if !isnothing(nav) && !isnothing(nav_time)

nav = nav[:,:,:,idx_slice]
nav_time = nav_time[:,idx_slice]

end

end
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