From a2fca9d378cb3bb866ff2104ed2b5407a8d84747 Mon Sep 17 00:00:00 2001 From: Adam Tyson Date: Wed, 29 Jan 2020 14:04:24 +0000 Subject: [PATCH] Add heatmap (#6) * update imlib api call * add heatmap * heatmap test --- neuro/heatmap/__init__.py | 0 neuro/heatmap/heatmap.py | 306 + setup.py | 11 +- tests/data/heatmap/cells.xml | 73230 +++++++++++++++++ tests/data/heatmap/heatmap.nii | Bin 0 -> 2229040 bytes tests/data/heatmap/raw/raw_data0000.tif | Bin 0 -> 67548 bytes tests/data/heatmap/raw/raw_data0001.tif | Bin 0 -> 67548 bytes tests/data/heatmap/raw/raw_data0002.tif | Bin 0 -> 67548 bytes tests/data/heatmap/raw/raw_data0003.tif | Bin 0 -> 67548 bytes tests/data/heatmap/raw/raw_data0004.tif | Bin 0 -> 67548 bytes tests/data/heatmap/raw/raw_data0005.tif | Bin 0 -> 67548 bytes tests/data/heatmap/raw/raw_data0006.tif | Bin 0 -> 67548 bytes tests/data/heatmap/raw/raw_data0007.tif | Bin 0 -> 67548 bytes tests/data/heatmap/raw/raw_data0008.tif | Bin 0 -> 67548 bytes 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create mode 100644 tests/data/heatmap/raw/raw_data0268.tif create mode 100644 tests/data/heatmap/raw/raw_data0269.tif create mode 100644 tests/data/heatmap/registered_atlas.nii create mode 100644 tests/tests/test_integration/test_heatmap.py diff --git a/neuro/heatmap/__init__.py b/neuro/heatmap/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/neuro/heatmap/heatmap.py b/neuro/heatmap/heatmap.py new file mode 100644 index 0000000..e525785 --- /dev/null +++ b/neuro/heatmap/heatmap.py @@ -0,0 +1,306 @@ +""" +Based on cellfinder detected cells, and amap registration, generate a heatmap +image +""" + +import logging +import argparse + +import numpy as np +from skimage.filters import gaussian +from skimage.transform import resize + +from brainio import brainio +from imlib.cells.utils import get_cell_location_array +from imlib.image.scale import scale_and_convert_to_16_bits +from imlib.image.binning import get_bins +from imlib.image.shape import convert_shape_dict_to_array_shape +from imlib.image.masking import mask_image_threshold +from imlib.general.misc import check_positive_float + + +def run( + cells_file, + output_filename, + target_size, + raw_image_shape, + raw_image_bin_sizes, + transformation_matrix, + atlas_scale, + smoothing=10, + mask=True, + atlas=None, + cells_only=True, + convert_16bit=True, +): + """ + + :param cells_file: Cellfinder output cells file. + :param output_filename: File to save heatmap into + :param target_size: Size of the final heatmap + :param raw_image_shape: Size of the raw data (coordinate space of the + cells) + :param raw_image_bin_sizes: List/tuple of the sizes of the bins in the + raw data space + :param transformation_matrix: Transformation matrix so that the resulting + nifti can be processed using other tools. + :param atlas_scale: Image scaling so that the resulting nifti can be + processed using other tools. + :param smoothing: Smoothing kernel size, in the target image space + :param mask: Whether or not to mask the heatmap based on an atlas file + :param atlas: Atlas file to mask the heatmap + :param cells_only: Only use "cells", not artefacts + :param convert_16bit: Convert final image to 16 bit + + + """ + + # TODO: compare the smoothing effects of gaussian filtering, and upsampling + target_size = convert_shape_dict_to_array_shape(target_size, type="fiji") + raw_image_shape = convert_shape_dict_to_array_shape( + raw_image_shape, type="fiji" + ) + cells_array = get_cell_location_array(cells_file, cells_only=cells_only) + bins = get_bins(raw_image_shape, raw_image_bin_sizes) + + logging.debug("Generating heatmap (3D histogram)") + heatmap_array, _ = np.histogramdd(cells_array, bins=bins) + + logging.debug("Resizing heatmap to the size of the target image") + heatmap_array = resize(heatmap_array, target_size, order=0) + if smoothing is not None: + logging.debug( + "Applying Gaussian smoothing with a kernel sigma of: " + "{}".format(smoothing) + ) + heatmap_array = gaussian(heatmap_array, sigma=smoothing) + + if mask: + logging.debug("Masking image based on registered atlas") + # copy, otherwise it's modified, which affects later figure generation + atlas_for_mask = np.copy(atlas) + heatmap_array = mask_image_threshold(heatmap_array, atlas_for_mask) + + if convert_16bit: + logging.debug("Converting to 16 bit") + heatmap_array = scale_and_convert_to_16_bits(heatmap_array) + + logging.debug("Saving heatmap image") + brainio.to_nii( + heatmap_array, + output_filename, + scale=atlas_scale, + affine_transform=transformation_matrix, + ) + + +def get_parser(): + parser = argparse.ArgumentParser( + formatter_class=argparse.ArgumentDefaultsHelpFormatter + ) + parser.add_argument( + dest="cells_file", type=str, help="Cellfinder output cell file", + ) + parser.add_argument( + dest="output_filename", + type=str, + help="Output filename. Should end with '.nii'", + ) + + parser.add_argument( + dest="raw_image", type=str, help="Paths to raw data", + ) + + parser.add_argument( + dest="downsampled_image", type=str, help="Downsampled_atlas .nii file", + ) + parser.add_argument( + "--bin-size", + dest="bin_size_um", + type=check_positive_float, + default=100, + help="Heatmap bin size (um of each edge of histogram cube)", + ) + parser.add_argument( + "-x", + "--x-pixel-um", + dest="x_pixel_um", + type=check_positive_float, + help="Pixel spacing of the data in the first " + "dimension, specified in um.", + ) + parser.add_argument( + "-y", + "--y-pixel-um", + dest="y_pixel_um", + type=check_positive_float, + help="Pixel spacing of the data in the second " + "dimension, specified in um.", + ) + parser.add_argument( + "-z", + "--z-pixel-um", + dest="z_pixel_um", + type=check_positive_float, + help="Pixel spacing of the data in the third " + "dimension, specified in um.", + ) + parser.add_argument( + "--heatmap-smoothing", + dest="heatmap_smooth", + type=check_positive_float, + default=100, + help="Gaussian smoothing sigma, in um.", + ) + parser.add_argument( + "--no-mask-figs", + dest="mask_figures", + action="store_false", + help="Don't mask the figures (removing any areas outside the brain," + "from e.g. smoothing)", + ) + + return parser + + +class HeatmapParams: + # assumes an isotropic target space + def __init__( + self, + raw_image, + downsampled_image, + bin_size_um, + x_pixel_um, + y_pixel_um, + z_pixel_um, + smoothing_target_space, + ): + self._input_image = raw_image + self._target_image = downsampled_image + self._bin_um = bin_size_um + self._x_pixel_um = x_pixel_um + self._y_pixel_um = y_pixel_um + self._z_pixel_um = z_pixel_um + self._smooth_um = smoothing_target_space + self._downsampled_image = None + + self.figure_image_shape = None + self.raw_image_shape = None + self.bin_size_raw_voxels = None + self.atlas_scale = None + self.transformation_matrix = None + self.smoothing_target_voxel = None + + self._get_raw_image_shape() + self._get_figure_image_shape() + self._get_atlas_data() + self._get_atlas_scale() + self._get_transformation_matrix() + self._get_binning() + self._get_smoothing() + + def _get_raw_image_shape(self): + logging.debug("Checking raw image size") + self.raw_image_shape = brainio.get_size_image_from_file_paths( + self._input_image + ) + logging.debug(f"Raw image size: {self.raw_image_shape}") + + def _get_figure_image_shape(self): + logging.debug( + "Loading file: {} to check target image size" + "".format(self._target_image) + ) + self._downsampled_image = brainio.load_nii( + self._target_image, as_array=False + ) + shape = self._downsampled_image.shape + self.figure_image_shape = {"x": shape[0], "y": shape[1], "z": shape[2]} + logging.debug("Target image size: {}".format(self.figure_image_shape)) + + def _get_binning(self): + logging.debug("Calculating bin size in raw image space voxels") + bin_raw_x = int(self._bin_um / self._x_pixel_um) + bin_raw_y = int(self._bin_um / self._y_pixel_um) + bin_raw_z = int(self._bin_um / self._z_pixel_um) + self.bin_size_raw_voxels = [bin_raw_x, bin_raw_y, bin_raw_z] + logging.debug( + f"Bin size in raw image space is x:{bin_raw_x}, " + f"y:{bin_raw_y}, z:{bin_raw_z}." + ) + + def _get_atlas_data(self): + self.atlas_data = self._downsampled_image.get_fdata() + + def _get_atlas_scale(self): + self.atlas_scale = self._downsampled_image.header.get_zooms() + + def _get_transformation_matrix(self): + self.transformation_matrix = self._downsampled_image.affine + + def _get_smoothing(self): + logging.debug( + "Calculating smoothing in target image volume. Assumes " + "an isotropic target image" + ) + if self._smooth_um is not 0: + # 1000 is to scale to um + self.smoothing_target_voxel = int( + self._smooth_um / (self.atlas_scale[0] * 1000) + ) + + +def main( + cells_file, + output_filename, + raw_image, + downsampled_image, + bin_size_um, + x_pixel_um, + y_pixel_um, + z_pixel_um, + heatmap_smooth, + masking, +): + params = HeatmapParams( + raw_image, + downsampled_image, + bin_size_um, + x_pixel_um, + y_pixel_um, + z_pixel_um, + heatmap_smooth, + ) + + run( + cells_file, + output_filename, + params.figure_image_shape, + params.raw_image_shape, + params.bin_size_raw_voxels, + params.transformation_matrix, + params.atlas_scale, + smoothing=params.smoothing_target_voxel, + mask=masking, + atlas=params.atlas_data, + ) + + +def cli(): + args = get_parser().parse_args() + main( + args.cells_file, + args.output_filename, + args.raw_image, + args.downsampled_image, + args.bin_size_um, + args.x_pixel_um, + args.y_pixel_um, + args.z_pixel_um, + args.heatmap_smooth, + args.mask_figures, + ) + + +if __name__ == "__main__": + cli() diff --git a/setup.py b/setup.py index 38953ee..fd68a6d 100644 --- a/setup.py +++ b/setup.py @@ -1,6 +1,14 @@ from setuptools import setup, find_namespace_packages -requirements = ["brainrender", "napari", "imlib", "pandas"] +requirements = [ + "numpy", + "scikit-image", + "pandas", + "napari", + "brainrender", + "imlib", + "brainio", +] setup( @@ -40,6 +48,7 @@ "console_scripts": [ "points_to_brainrender = " "neuro.points.points_to_brainrender:main", + "heatmap = neuro.heatmap.heatmap:cli", ] }, zip_safe=False, diff --git a/tests/data/heatmap/cells.xml b/tests/data/heatmap/cells.xml new file mode 100644 index 0000000..1692514 --- /dev/null +++ b/tests/data/heatmap/cells.xml @@ -0,0 +1,73230 @@ + + + + placeholder.tif + + + 1 + + 1 + + 129 + 5 + 1 + + + 132 + 127 + 1 + + + 188 + 111 + 2 + + + 51 + 138 + 2 + + + 143 + 116 + 2 + + + 137 + 94 + 2 + + + 156 + 19 + 2 + + + 140 + 119 + 2 + + + 112 + 118 + 2 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