From 67eec2d7c15797a2b03b384d62d407e384425057 Mon Sep 17 00:00:00 2001 From: Mehmet Oguz Derin Date: Thu, 28 Mar 2024 14:17:08 +0900 Subject: [PATCH] Add a volume rendering sample with 3D textures (#407) * Add a volume rendering sample with 3D textures --- public/assets/img/volume/.gitignore | 4 + public/assets/img/volume/README.adoc | 58 +++++ .../img/volume/t1_icbm_normal_1mm_pn0_rf0.py | 64 ++++++ ...l_1mm_pn0_rf0_180x216x180_uint8_1x1.bin-gz | Bin 0 -> 3788907 bytes sample/volumeRenderingTexture3D/index.html | 30 +++ sample/volumeRenderingTexture3D/main.ts | 215 ++++++++++++++++++ sample/volumeRenderingTexture3D/meta.ts | 16 ++ sample/volumeRenderingTexture3D/volume.wgsl | 55 +++++ src/samples.ts | 2 + 9 files changed, 444 insertions(+) create mode 100644 public/assets/img/volume/.gitignore create mode 100644 public/assets/img/volume/README.adoc create mode 100644 public/assets/img/volume/t1_icbm_normal_1mm_pn0_rf0.py create mode 100644 public/assets/img/volume/t1_icbm_normal_1mm_pn0_rf0_180x216x180_uint8_1x1.bin-gz create mode 100644 sample/volumeRenderingTexture3D/index.html create mode 100644 sample/volumeRenderingTexture3D/main.ts create mode 100644 sample/volumeRenderingTexture3D/meta.ts create mode 100644 sample/volumeRenderingTexture3D/volume.wgsl diff --git a/public/assets/img/volume/.gitignore b/public/assets/img/volume/.gitignore new file mode 100644 index 00000000..d5779a0b --- /dev/null +++ b/public/assets/img/volume/.gitignore @@ -0,0 +1,4 @@ +slices/ +t1_icbm_normal_1mm_pn0_rf0_180x216x180_uint8_1x1.bin +t1_icbm_normal_1mm_pn0_rf0.npy +t1_icbm_normal_1mm_pn0_rf0.rawb diff --git a/public/assets/img/volume/README.adoc b/public/assets/img/volume/README.adoc new file mode 100644 index 00000000..99d8a2be --- /dev/null +++ b/public/assets/img/volume/README.adoc @@ -0,0 +1,58 @@ +:toc: + +== Data from BrainWeb: Simulated Brain Database + +In the "Volume Rendering - Texture 3D" sample, the implementation uses simulated brain data from BrainWeb. The render results, as seen in the sample, were validated to be representative of standard visualization with VTK. + +=== Reproduction + +1. Go to https://brainweb.bic.mni.mcgill.ca/brainweb/selection_normal.html +2. Set modality to T1. +3. Set slice thickness to 1mm. +4. Set noise to 0%. +5. Set RF to 0%. +6. Click Download. +7. Set file format to raw byte. +8. Set compression to none. +9. Follow other instructions on the website according to your situation. +10. Click Start Download. +11. Copy the downloaded *.rawb data to this directory. +12. Activate a Python environment with at least Python 3.12, Numpy, Scipy, and Pillow. +13. Start a terminal in this directory. +14. Run t1_icbm_normal_1mm_pn0_rf0.py script. + +=== References + +* http://www.bic.mni.mcgill.ca/brainweb/[`http://www.bic.mni.mcgill.ca/brainweb/`] + +* C.A. Cocosco, V. Kollokian, R.K.-S. Kwan, A.C. Evans : + __"BrainWeb: Online Interface to a 3D MRI Simulated Brain Database"__ + + NeuroImage, vol.5, no.4, part 2/4, S425, 1997 -- Proceedings of 3-rd International Conference on Functional Mapping of the Human Brain, Copenhagen, May 1997. + ** abstract available in + http://www.bic.mni.mcgill.ca/users/crisco/HBM97_abs/HBM97_abs.html[html], + http://www.bic.mni.mcgill.ca/users/crisco/HBM97_abs/HBM97_abs.pdf[pdf (500Kb)], + or http://www.bic.mni.mcgill.ca/users/crisco/HBM97_abs/HBM97_abs.ps.gz[gnuzip-ed postscript (500Kb)]. + ** poster available in + http://www.bic.mni.mcgill.ca/users/crisco/HBM97_poster/HBM97_poster.pdf[pdf (1.1Mb)], + or http://www.bic.mni.mcgill.ca/users/crisco/HBM97_poster/HBM97_poster.ps.gz[gnuzip-ed postscript (850Kb)]. + +* R.K.-S. Kwan, A.C. Evans, G.B. Pike : + __"MRI simulation-based evaluation of image-processing and classification methods"__ + + IEEE Transactions on Medical Imaging. 18(11):1085-97, Nov 1999. + +* R.K.-S. Kwan, A.C. Evans, G.B. Pike : + __"An Extensible MRI Simulator for Post-Processing Evaluation"__ + + Visualization in Biomedical Computing (VBC'96). Lecture Notes in Computer Science, vol. 1131. Springer-Verlag, 1996. 135-140. + ** paper available in + http://www.bic.mni.mcgill.ca/users/rkwan/vbc96/paper/vbc96.html[html], + http://www.bic.mni.mcgill.ca/users/rkwan/vbc96/paper/vbc96.ps[postscript (1Mb)], + or http://www.bic.mni.mcgill.ca/users/rkwan/vbc96/paper/vbc96.ps.gz[gnuzip-ed postscript (380Kb)]. + ** poster available in + http://www.bic.mni.mcgill.ca/users/rkwan/vbc96/poster/vbc96bw.ps[grey-scale postscript (5.3Mb)], + http://www.bic.mni.mcgill.ca/users/rkwan/vbc96/poster/vbc96bw.ps.gz[grey-scale, gnuzip-ed postscript (536Kb)], + or http://www.bic.mni.mcgill.ca/users/rkwan/vbc96/poster/vbc96.poster.ps.gz[colour, gnuzip-ed postscript (597Kb)]. + +* D.L. Collins, A.P. Zijdenbos, V. Kollokian, J.G. Sled, N.J. Kabani, C.J. Holmes, A.C. Evans : + __"Design and Construction of a Realistic Digital Brain Phantom"__ + + IEEE Transactions on Medical Imaging, vol.17, No.3, p.463--468, June 1998. + ** paper available in http://www.bic.mni.mcgill.ca/users/louis/papers/phantom/[html]. diff --git a/public/assets/img/volume/t1_icbm_normal_1mm_pn0_rf0.py b/public/assets/img/volume/t1_icbm_normal_1mm_pn0_rf0.py new file mode 100644 index 00000000..126ffafa --- /dev/null +++ b/public/assets/img/volume/t1_icbm_normal_1mm_pn0_rf0.py @@ -0,0 +1,64 @@ +import gzip +import os + +import numpy as np +from PIL import Image +from scipy.ndimage import zoom + + +def resample_volume_lanczos(byte_array, original_shape, new_shape): + volume = np.frombuffer(byte_array, dtype=np.uint8).reshape(original_shape) + zoom_factors = [n / o for n, o in zip(new_shape, original_shape)] + resampled_volume = zoom(volume, zoom_factors, order=4) + return resampled_volume + + +def load_byte_array_from_file(file_path): + with open(file_path, "rb") as file: + byte_array = file.read() + return byte_array + + +file_path = "t1_icbm_normal_1mm_pn0_rf0.rawb" +byte_array = load_byte_array_from_file(file_path) +original_shape = (181, 217, 181) +new_shape = (180, 216, 180) +resampled_volume = resample_volume_lanczos(byte_array, original_shape, new_shape) + +np.save("t1_icbm_normal_1mm_pn0_rf0.npy", resampled_volume) + + +file_path = "t1_icbm_normal_1mm_pn0_rf0.npy" +data = np.load(file_path) +os.makedirs("slices", exist_ok=True) + +for i, slice in enumerate(data): + img = Image.fromarray(slice) + if img.mode != "L": + img = img.convert("L") + img.save(f"slices/slice_{i:03d}.png") + +print(f"Exported {len(data)} slices.") + +source_directory = "slices" +final_file_path = "t1_icbm_normal_1mm_pn0_rf0_180x216x180_uint8_1x1.bin" + +with open(final_file_path, "wb") as output_file: + for file_name in sorted(os.listdir(source_directory)): + if file_name.lower().endswith(".png"): + source_path = os.path.join(source_directory, file_name) + img = Image.open(source_path).convert("L") + img_data = np.array(img, dtype=np.uint8) + img_data.tofile(output_file) + +print("Images have been successfully converted and concatenated.") + +with open("t1_icbm_normal_1mm_pn0_rf0_180x216x180_uint8_1x1.bin", "rb") as f: + bytes_data = f.read() + +gzip_filename = "t1_icbm_normal_1mm_pn0_rf0_180x216x180_uint8_1x1.bin-gz" + +with gzip.open(gzip_filename, "wb", compresslevel=9) as f: + f.write(bytes_data) + +print(f"File compressed and saved as {gzip_filename}") diff --git a/public/assets/img/volume/t1_icbm_normal_1mm_pn0_rf0_180x216x180_uint8_1x1.bin-gz b/public/assets/img/volume/t1_icbm_normal_1mm_pn0_rf0_180x216x180_uint8_1x1.bin-gz new file mode 100644 index 0000000000000000000000000000000000000000..e2146c2adf0d7308f419d0af542f425d2c88cecc GIT binary patch literal 3788907 zcmV(}K+wM*iwFpi-U4O<|8y~5X=7q-Uv6)5ZDDL*F>P&MaBeVPa%M1JF*q=IGBGxI zF*q<^b!l#NIA1Y%F)m_hZY^he0Mxt(cq7-5E-Fq=3Zpn0jnX7WfFQvD5CoBP&Y>GX 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