.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "generated/gallery/02-tours/03_fov_offset_enrichment.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr_generated_gallery_02-tours_03_fov_offset_enrichment.py: ======================================== Field-of-view offset and the proxy phase ======================================== This Tour moves the field of view of two designs away from the isocentre and shows where the phase of the offset is applied: by the scanner, as the frequency and phase offsets of each readout, and by the reconstruction proxy, for the part those offsets cannot carry when the readout gradient varies during sampling. **Prerequisites:** lessons 3 and 4 of the :doc:`course `. An object at :math:`\mathbf{d}` adds the phase :math:`-2\pi\,\mathbf{d}\cdot\mathbf{k}(t)` to each sample. Under a readout gradient that holds one value, :math:`\mathbf{k}(t)` is linear in time and the phase is a frequency and a phase offset. On a ramp-sampled readout it is not, and the IR cache carries no ADC phase modulation for the rest (:doc:`/explanations/reconstruction`). .. GENERATED FROM PYTHON SOURCE LINES 21-27 .. GENERATED FROM PYTHON SOURCE LINES 28-35 Two designs at an offset ------------------------ A 2D gradient echo, which samples the flat top of its readout gradient, and a 2D echo planar sequence, whose trains are ramp sampled, are converted at the prescribed offset :math:`\mathbf{d} = (30, -50, 0)` mm along the logical readout, phase-encoding and slice axes, and again at the isocentre. .. GENERATED FROM PYTHON SOURCE LINES 35-62 .. code-block:: Python import tempfile from pathlib import Path import numpy as np import pypulseqpp as pp from pypulseqpp import sequences from pypulseqpp.sequences.sequence.epi2D_sequence import epi2d from pypulseqpp.sequences.sequence.gre2D_sequence import gre2d from pulserver import ir, virtual from pulserver.proxy import SequenceTable system = pp.Opts(max_grad=40, grad_unit="mT/m", max_slew=150, slew_unit="T/m/s") work = Path(tempfile.mkdtemp()) offset = (0.03, -0.05, 0.0) designs = { "gradient echo": [gre2d(system, n_x=64, n_y=64, n_dummy=0)], "echo planar": epi2d(system, n_x=64, n_y=64), } files = {} for name, chain in designs.items(): for where, shift in (("offset", offset), ("isocentre", None)): path = work / f"{name.replace(' ', '_')}_{where}.seq" files[name, where] = sequences.write(path, chain, offline=False)[0] ir.convert(files[name, where], system, fov_offset=shift) .. GENERATED FROM PYTHON SOURCE LINES 63-70 Acquisitions ------------ The phantom is acquired twice per design: placed at :math:`\mathbf{d}` and played from the cache converted at the offset, and placed at the isocentre and played from the cache converted there. Under the identity rotation the physical axes are the logical ones. .. GENERATED FROM PYTHON SOURCE LINES 70-85 .. code-block:: Python ellipses = [ virtual.Ellipse((0.0, 0.0, 0.0), (0.06, 0.04)), virtual.Ellipse((0.02, 0.01, 0.0), (0.015, 0.015), intensity=-0.5), ] at_offset = virtual.Phantom(ellipses, position=offset) at_isocentre = virtual.Phantom(ellipses) readouts = { name: ( virtual.acquire(files[name, "offset"], at_offset), virtual.acquire(files[name, "isocentre"], at_isocentre), ) for name in designs } .. GENERATED FROM PYTHON SOURCE LINES 86-92 The proxy phase --------------- :class:`~pulserver.proxy.SequenceTable`, read at the offset the cache was converted at, gives the phase the proxy applies to each readout, in rad, or ``None`` where the scanner's offsets carry the whole phase. .. GENERATED FROM PYTHON SOURCE LINES 92-101 .. code-block:: Python tables = { name: SequenceTable.read(files[name, "offset"], fov_offset_m=offset) for name in designs } for name, table in tables.items(): phases = [table.readout_phase_modulation(row) for row in range(len(table))] applied = sum(phase is not None for phase in phases) print(f"{name}: a phase on {applied} of {len(table)} readouts") .. rst-class:: sphx-glr-script-out .. code-block:: none gradient echo: a phase on 0 of 64 readouts echo planar: a phase on 134 of 134 readouts .. GENERATED FROM PYTHON SOURCE LINES 102-107 On the echo planar readouts the phase is the curvature of :math:`2\pi\,\mathbf{d}\cdot\mathbf{k}(t)` about the line through the middle of the sampling window, which the scanner's frequency and phase offsets play. The imaging readouts are those of the encoding space of the main subsequence that is not the navigators'. .. GENERATED FROM PYTHON SOURCE LINES 107-123 .. code-block:: Python table = tables["echo planar"] main = max(index for index, space in enumerate(table.spaces) if not space.navigator) imaging = np.flatnonzero(table.encoding_space == main) row = imaging[len(imaging) // 2] .. image-sg:: /generated/gallery/02-tours/images/sphx_glr_03_fov_offset_enrichment_001.png :alt: 03 fov offset enrichment :srcset: /generated/gallery/02-tours/images/sphx_glr_03_fov_offset_enrichment_001.png :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 124-127 With the proxy phase applied, the samples of the object at the offset are those of the object at the isocentre, to the precision of the acquisition; as received, the echo planar samples are not. .. GENERATED FROM PYTHON SOURCE LINES 127-150 .. code-block:: Python def agreement(name, corrected): moved, centred = readouts[name] table = tables[name] worst = 0.0 for row in range(len(table)): samples = moved[row] phase = table.readout_phase_modulation(row) if corrected and phase is not None: samples = samples * np.exp(1j * phase) worst = max( worst, np.abs(samples - centred[row]).max() / np.abs(centred[row]).max() ) return worst for name in designs: print( f"{name}: largest difference from the isocentre, as received " f"{agreement(name, False):.1e}, with the proxy phase {agreement(name, True):.1e}" ) .. rst-class:: sphx-glr-script-out .. code-block:: none gradient echo: largest difference from the isocentre, as received 9.5e-07, with the proxy phase 9.5e-07 echo planar: largest difference from the isocentre, as received 1.1e+00, with the proxy phase 9.4e-07 .. GENERATED FROM PYTHON SOURCE LINES 151-159 Images ------ The echo planar lines are gridded along the readout from the k-space of their samples, placed by their encoding counters, and Fourier transformed. The differences from the image at the isocentre show what the phase the proxy applies removes. The arcs at the sides of the reference come from the linear interpolation of the gridding, which the three images share. .. GENERATED FROM PYTHON SOURCE LINES 159-202 .. code-block:: Python def image(samples, table): n, fov = 64, 0.22 grid = (np.arange(n) - n / 2) / fov kspace = np.zeros((n, n), complex) for row in imaging: kx = table.readout_k(row)[0] order = np.argsort(kx) line = samples[row][0][order] kspace[table.counters["LIN"][row]] = np.interp( grid, kx[order], line.real ) + 1j * np.interp(grid, kx[order], line.imag) return np.abs(np.fft.fftshift(np.fft.ifft2(np.fft.ifftshift(kspace)))) moved, centred = readouts["echo planar"] reference = image(centred, table) as_received = image(moved, table) corrected = image( [ samples if table.readout_phase_modulation(row) is None else samples * np.exp(1j * table.readout_phase_modulation(row)) for row, samples in enumerate(moved) ], table, ) .. image-sg:: /generated/gallery/02-tours/images/sphx_glr_03_fov_offset_enrichment_002.png :alt: at the isocentre, difference, as received, difference, proxy phase :srcset: /generated/gallery/02-tours/images/sphx_glr_03_fov_offset_enrichment_002.png :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 203-209 The differences are drawn at a fifth of the reference's scale. A header that states the object at another position, ``fov_offset_mm``, makes the proxy apply :math:`2\pi\,\Delta\mathbf{d}\cdot\mathbf{k}(t)` in full for the difference, as :meth:`~pulserver.proxy.SequenceTable.readout_phase_modulation` states, which needs no new cache. .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 0.475 seconds) .. _sphx_glr_download_generated_gallery_02-tours_03_fov_offset_enrichment.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: 03_fov_offset_enrichment.ipynb <03_fov_offset_enrichment.ipynb>` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: 03_fov_offset_enrichment.py <03_fov_offset_enrichment.py>` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: 03_fov_offset_enrichment.zip <03_fov_offset_enrichment.zip>` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_