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.. _scans:
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Scans (dosma.scan_sequences)
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================================================================================
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DOSMA currently supports 4 MRI scan types:
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1. Quantitative DESS (qDESS)
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2. CubeQuant
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3. MAPSS
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4. UTE Cones
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Each scan implements a subset of the following actions:
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1. **Segment** tissues from scan
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2. **Interregister** to register between lower resolution (moving) and higher resolution (target) scans
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3. **Quantitative fitting** for voxel-wise parameter maps.
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.. automodule::
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   dosma.scan_sequences
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.. autosummary::
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   :toctree: generated
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   dosma.scan_sequences.ScanSequence
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   dosma.scan_sequences.QDess
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   dosma.scan_sequences.CubeQuant
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   dosma.scan_sequences.Mapss
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   dosma.scan_sequences.Cones
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Below we briefly discuss the different scan types and associated actions.
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qDESS
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Quantitative double echo in steady state (qDESS) is a high-resolution scan that has shown high efficacy for analytic
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|T2| mapping :cite:`sveinsson2017simple`. Because of its high resolution, qDESS scans have been shown to be good candidates for automatic
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segmentation.
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DOSMA supports both automatic segmentation and analytical |T2| solving for qDESS scans. Automated segmentation uses
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pre-trained convolutional neural networks (CNNs).
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CubeQuant (3D FSE)
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Cubequant is a 3D fast-spin-echo (FSE) |T1rho|-weighted sequence. Acquisitions between spin-locks are
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susceptible to motion, and as a result, volumes within the scan have to be registered to each other
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(i.e. *intra*-registered).
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Moreover, CubeQuant scans often have lower resolution to increase SNR in practice. Because of the
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low-resolution, these scans are often registered to higher resolution target scans :cite:`jordan2014variability`.
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By default, DOSMA intraregisters volumes acquired at different spin-locks to one another. This framework also supports
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both registration between scan types (interregistration) and |T1rho| fitting.
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Because registration is sensitive to the target scan type, different registration approaches may work better with
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different scan types. By default, the registration approaches are optimized to register CubeQuant scans to qDESS scans.
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3D MAPSS (SPGR)
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Magnetization‐prepared angle‐modulated partitioned k‐space spoiled gradient echo snapshots (3D MAPSS) is a spoiled
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gradient (SPGR) sequence that reduce specific absorption rate (SAR), increase SNR, and reduce the extent of
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retrospective correction of contaminating |T1| effects :cite:`li2008vivo`.
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The MAPSS sequence can be used to estimate both |T1rho| and |T2| quantitative values. Like CubeQuant scans, MAPSS scans
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must also be intraregistered to ensure alignment between all volumes acquired at different echos and spin-lock times.
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DOSMA automatically performs intraregistration among volumes within the MAPSS scan. |T2| and |T1rho| fitting is also
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supported.
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UTE Cones
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Ultra-short echo time (UTE) Cones (or Cones) is a |T2star|-weighted sequence. In practice, many of these scans are low
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resolution.
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DOSMA supports interregistration between Cones and other scan sequences; however, registration files are optimized for
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registration to qDESS. |T2star| fitting is also supported.
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.. Substitutions
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.. |T2| replace:: T\ :sub:`2`
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.. |T1| replace:: T\ :sub:`1`
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.. |T1rho| replace:: T\ :sub:`1`:math:`{\rho}`
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.. |T2star| replace:: T\ :sub:`2`:sup:`*`