Esempio n. 1
0
def main():
    args = parse_args()
    mask = dwi.mask.read_mask(args.input)

    selected_slices = list(mask.selected_slices())
    mbb = mask.bounding_box()
    mbb_shape = tuple([b - a for a, b in mbb])
    d = dict(infile=args.input, shape=mask.shape(), size=np.prod(mask.shape()),
             nsel=mask.n_selected(), mbb=mbb, mbb_shape=mbb_shape,
             mbb_size=np.prod(mbb_shape), mbb_all=mask.mbb_equals_selection(),
             nsl=len(selected_slices), sl=selected_slices,
             msl=mask.max_slices())
    s = (
        'mask: {infile}\n'
        'mask shape: {shape}\n'
        'mask size: {size}\n'
        'selected voxels: {nsel}\n'
        'minimum bounding box coordinates: {mbb}\n'
        'minimum bounding box shape: {mbb_shape}\n'
        'minimum bounding box size: {mbb_size} (equals selection: {mbb_all})\n'
        'selected slices: {nsl}: {sl}\n'
        'maximum slices: {msl}'
    )
    print(s.format(**d))

    if args.subregion:
        write_subregion(mask, args.pad, args.input, args.subregion)
Esempio n. 2
0
def main():
    args = parse_args()
    mask = dwi.mask.read_mask(args.input)

    selected_slices = list(mask.selected_slices())
    mbb = mask.bounding_box()
    mbb_shape = tuple([b - a for a, b in mbb])
    d = dict(infile=args.input, shape=mask.shape(), size=np.prod(mask.shape()),
             nsel=mask.n_selected(), mbb=mbb, mbb_shape=mbb_shape,
             mbb_size=np.prod(mbb_shape), mbb_all=mask.mbb_equals_selection(),
             nsl=len(selected_slices), sl=selected_slices,
             msl=mask.max_slices())
    s = (
        'mask: {infile}\n'
        'mask shape: {shape}\n'
        'mask size: {size}\n'
        'selected voxels: {nsel}\n'
        'minimum bounding box coordinates: {mbb}\n'
        'minimum bounding box shape: {mbb_shape}\n'
        'minimum bounding box size: {mbb_size} (equals selection: {mbb_all})\n'
        'selected slices: {nsl}: {sl}\n'
        'maximum slices: {msl}'
    )
    print(s.format(**d))

    if args.subregion:
        write_subregion(mask, args.pad, args.input, args.subregion)
Esempio n. 3
0
def main():
    """Main."""
    args = parse_args()
    print(args.image, args.mask)
    mask = dwi.mask.read_mask(args.mask)
    slices = get_slices(args.image)

    if mask.shape()[0] != len(slices):
        raise Exception('Number of slices mismatch.')

    for mask_slice, paths, i in zip(mask.array, slices, range(len(slices))):
        for p in paths:
            if args.verbose:
                d = dict(i=i, n_selected=np.sum(mask_slice is not False), p=p)
                print('Slice {i:d} ({n_selected:d}): {p:s}'.format(**d))
            mask_out_slice(mask_slice, p)
Esempio n. 4
0
def main():
    """Main."""
    args = parse_args()
    print(args.image, args.mask)
    mask = dwi.mask.read_mask(args.mask)
    slices = get_slices(args.image)

    if mask.shape()[0] != len(slices):
        raise Exception('Number of slices mismatch.')

    for mask_slice, paths, i in zip(mask.array, slices, range(len(slices))):
        for p in paths:
            if args.verbose:
                d = dict(i=i, n_selected=np.sum(mask_slice is not False), p=p)
                print('Slice {i:d} ({n_selected:d}): {p:s}'.format(**d))
            mask_out_slice(mask_slice, p)
Esempio n. 5
0
def main():
    args = parse_args()
    loglevel = logging.INFO if args.verbose else logging.WARNING
    logging.basicConfig(level=loglevel, stream=logging.sys.stdout)

    logging.info('Reading image: %s', args.input)
    img, attrs = dwi.files.read_pmap(args.input)
    if args.mode == 'T2':
        assert attrs['echotimes'][0] == 0  # TODO: Could be another?
    img = img[..., 0]
    assert img.ndim == 3

    if args.mask is None:
        mask = np.zeros_like(img, dtype=np.bool)
        mbb = dwi.util.bbox(img, pad=0)
        logging.info('MBB mask: %s', mbb)
        mask[mbb] = True
        mask = dwi.mask.Mask3D(mask)
    else:
        logging.info('Using mask: %s', args.mask)
        mask = dwi.mask.read_mask(args.mask)
        if isinstance(mask, dwi.mask.Mask):
            mask = mask.convert_to_3d(img.shape[0])

    if img.shape != mask.shape():
        raise Exception('Image shape {} does not match mask shape {}'.format(
            img.shape, mask.shape()))
    if mask.n_selected() == 0:
        raise ValueError('Empty mask.')

    if args.slices == 'maxfirst':
        slice_indices = [mask.max_slices()[0]]
    elif args.slices == 'max':
        slice_indices = mask.max_slices()
    elif args.slices == 'all':
        slice_indices = mask.selected_slices()
    else:
        raise Exception('Invalid slice set specification', args.slices)

    # Zero other slices in mask.
    for i in range(len(mask.array)):
        if i not in slice_indices:
            mask.array[i, :, :] = 0

    # Use only selected slices to save memory.
    if not args.voxel == 'all':
        img = img[slice_indices].copy()
        mask.array = mask.array[slice_indices].copy()

    # Get portion mask.
    if args.winspec in ('all', 'mbb'):
        pmask = mask.array  # Some methods don't use window.
    elif args.winspec.isdigit():
        winsize = int(args.winspec)
        assert winsize > 0
        winshape = (1, winsize, winsize)
        pmask = portion_mask(mask.array, winshape, portion=args.portion)
    else:
        raise ValueError('Invalid window spec: {}'.format(args.winspec))

    logging.info('Image: %s, slice: %s, voxels: %s, window: %s', img.shape,
                 slice_indices, np.count_nonzero(mask.array), args.winspec)

    logging.info('Calculating %s texture features for %s...', args.method,
                 args.mode)

    dwi.rcParams.texture_avg = args.voxel
    if dwi.rcParams.texture_avg != 'all':
        if args.mode.startswith('T2w') and args.method.startswith('gabor'):
            # These result arrays can get quite huge (if float64).
            dwi.rcParams.texture_path = args.output

    if args.method in ('glcm', 'glcm_mbb'):
        img = dwi.util.quantize(dwi.util.normalize(img, args.mode))

    tmap, names = dwi.texture.get_texture(img, args.method, args.winspec,
                                          pmask)
    attrs['parameters'] = names
    # Number of windows, or resulting texture map volume in general.
    attrs['tmap_voxels'] = np.count_nonzero(pmask)

    logging.info('Writing shape %s, type %s to %s', tmap.shape, tmap.dtype,
                 args.output)
    if dwi.rcParams.texture_path:
        attrs['shape'] = tmap.shape
        attrs['dtype'] = str(tmap.dtype)
        dwi.hdf5.write_attrs(tmap, attrs)  # Attributes may need conversion.
    else:
        dwi.files.write_pmap(args.output, tmap, attrs)
Esempio n. 6
0
def main():
    args = parse_args()
    loglevel = logging.INFO if args.verbose else logging.WARNING
    logging.basicConfig(level=loglevel, stream=logging.sys.stdout)

    logging.info('Reading image: %s', args.input)
    img, attrs = dwi.files.read_pmap(args.input)
    if args.mode == 'T2':
        assert attrs['echotimes'][0] == 0  # TODO: Could be another?
    img = img[..., 0]
    assert img.ndim == 3

    if args.mask is None:
        mask = np.zeros_like(img, dtype=np.bool)
        mbb = dwi.util.bbox(img, pad=0)
        logging.info('MBB mask: %s', mbb)
        mask[mbb] = True
        mask = dwi.mask.Mask3D(mask)
    else:
        logging.info('Using mask: %s', args.mask)
        mask = dwi.mask.read_mask(args.mask)
        if isinstance(mask, dwi.mask.Mask):
            mask = mask.convert_to_3d(img.shape[0])

    if img.shape != mask.shape():
        raise Exception('Image shape {} does not match mask shape {}'.format(
            img.shape, mask.shape()))
    if mask.n_selected() == 0:
        raise ValueError('Empty mask.')

    if args.slices == 'maxfirst':
        slice_indices = [mask.max_slices()[0]]
    elif args.slices == 'max':
        slice_indices = mask.max_slices()
    elif args.slices == 'all':
        slice_indices = mask.selected_slices()
    else:
        raise Exception('Invalid slice set specification', args.slices)

    # Zero other slices in mask.
    for i in range(len(mask.array)):
        if i not in slice_indices:
            mask.array[i, :, :] = 0

    # Use only selected slices to save memory.
    if not args.voxel == 'all':
        img = img[slice_indices].copy()
        mask.array = mask.array[slice_indices].copy()

    # Get portion mask.
    if args.winspec in ('all', 'mbb'):
        pmask = mask.array  # Some methods don't use window.
    elif args.winspec.isdigit():
        winsize = int(args.winspec)
        assert winsize > 0
        winshape = (1, winsize, winsize)
        pmask = portion_mask(mask.array, winshape, portion=args.portion)
    else:
        raise ValueError('Invalid window spec: {}'.format(args.winspec))

    logging.info('Image: %s, slice: %s, voxels: %s, window: %s', img.shape,
                 slice_indices, np.count_nonzero(mask.array), args.winspec)

    logging.info('Calculating %s texture features for %s...', args.method,
                 args.mode)

    dwi.rcParams.texture_avg = args.voxel
    if dwi.rcParams.texture_avg != 'all':
        if args.mode.startswith('T2w') and args.method.startswith('gabor'):
            # These result arrays can get quite huge (if float64).
            dwi.rcParams.texture_path = args.output

    if args.method in ('glcm', 'glcm_mbb'):
        img = dwi.util.quantize(dwi.util.normalize(img, args.mode))

    tmap, names = dwi.texture.get_texture(img, args.method, args.winspec,
                                          pmask)
    attrs['parameters'] = names
    # Number of windows, or resulting texture map volume in general.
    attrs['tmap_voxels'] = np.count_nonzero(pmask)

    logging.info('Writing shape %s, type %s to %s', tmap.shape, tmap.dtype,
                 args.output)
    if dwi.rcParams.texture_path:
        attrs['shape'] = tmap.shape
        attrs['dtype'] = str(tmap.dtype)
        dwi.hdf5.write_attrs(tmap, attrs)  # Attributes may need conversion.
    else:
        dwi.files.write_pmap(args.output, tmap, attrs)