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已同步 2025-08-06 04:26:52 +08:00
Added materials files for AustinMan/Woman models.
这个提交包含在：
craig-warren
@@ -49,9 +49,11 @@ Package overview
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AustinManWoman_gprMax_materials.txt
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AustinManWoman_gprMax_materials_dispersive.txt
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head_only_hdf5.py
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* ``AustinManWoman_gprMax_materials.txt`` is a text file containing non-dispersive material properties at 900 MHz (http://niremf.ifac.cnr.it/tissprop/).
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* ``AustinManWoman_gprMax_materials_dispersive.txt`` is a text file containing dispersive material properties using a 3-pole Debye model (http://dx.doi.org/10.1109/LMWC.2011.2180371). Note the main body tissues are described using a 3-pole Debye model, nbut ot all materials have a dispersive description.
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* ``head_only_hdf5.py`` is a script to assist with creating a model of only the head from a full body AustinMan/Woman model.
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How to use the models
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=====================
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## Tissue properties
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## Non-dispersive properties (900MHz) from http://niremf.ifac.cnr.it/tissprop/htmlclie/htmlclie.php
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#material: 1 0 1 0 Air
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#material: 44.77 0.6961 1 0 Aorta
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#material: 18.94 0.3831 1 0 Bladder
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#material: 61.36 1.538 1 0 Blood
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#material: 44.77 0.6961 1 0 BloodVessel
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#material: 68.9 1.636 1 0 BodyFluid
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#material: 20.79 0.34 1 0 BoneCancellous
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#material: 12.45 0.1433 1 0 BoneCortical
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#material: 5.504 0.04021 1 0 BoneMarrow
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#material: 52.73 0.9423 1 0 BrainGreyMatter
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#material: 38.89 0.5908 1 0 BrainWhiteMatter
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#material: 5.424 0.04896 1 0 BreastFat
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#material: 42.65 0.7824 1 0 Cartilage
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#material: 49.44 1.263 1 0 Cerebellum
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#material: 68.64 2.413 1 0 CerebroSpinalFluid
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#material: 49.78 0.9591 1 0 Cervix
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#material: 57.94 1.08 1 0 Colon
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#material: 55.23 1.394 1 0 Cornea
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#material: 65.06 1.187 1 0 Duodenum
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#material: 44.43 0.9611 1 0 Dura
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#material: 55.27 1.167 1 0 EyeSclera
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#material: 5.462 0.05104 1 0 Fat
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#material: 59.14 1.257 1 0 GallBladder
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#material: 70.19 1.838 1 0 GallBladderBile
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#material: 59.68 1.038 1 0 Gland
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#material: 59.89 1.23 1 0 Heart
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#material: 58.67 1.392 1 0 Kidney
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#material: 46.57 0.7934 1 0 Lens
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#material: 46.83 0.855 1 0 Liver
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#material: 51.42 0.858 1 0 LungDeflated
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#material: 22 0.4567 1 0 LungInflated
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#material: 59.68 1.038 1 0 Lymph
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#material: 46.08 0.8447 1 0 MucousMembrane
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#material: 55.03 0.9429 1 0 Muscle
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#material: 12.45 0.1433 1 0 Nail
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#material: 32.53 0.5737 1 0 Nerve
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#material: 65.06 1.187 1 0 Oesophagus
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#material: 50.47 1.29 1 0 Ovary
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#material: 59.68 1.038 1 0 Pancreas
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#material: 60.55 1.21 1 0 Prostate
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#material: 55.27 1.167 1 0 Retina
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#material: 41.41 0.8667 1 0 SkinDry
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#material: 46.08 0.8447 1 0 SkinWet
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#material: 59.49 2.165 1 0 SmallIntestine
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#material: 32.53 0.5737 1 0 SpinalCord
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#material: 57.18 1.273 1 0 Spleen
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#material: 65.06 1.187 1 0 Stomach
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#material: 45.83 0.7184 1 0 Tendon
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#material: 60.55 1.21 1 0 Testis
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#material: 59.68 1.038 1 0 Thymus
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#material: 59.68 1.038 1 0 Thyroid
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#material: 55.27 0.9363 1 0 Tongue
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#material: 12.45 0.1433 1 0 Tooth
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#material: 42.01 0.7711 1 0 Trachea
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#material: 61.12 1.27 1 0 Uterus
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#material: 68.9 1.636 1 0 VitreousHumor
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@@ -0,0 +1,124 @@
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## Tissue properties
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## 3-Pole Debye model (1MHz-100GHz) from http://dx.doi.org/10.1109/LMWC.2011.2180371
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## Non-dispersive properties (900MHz) from http://niremf.ifac.cnr.it/tissprop/htmlclie/htmlclie.php
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#material: 1 0 1 0 Air
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#material: 44.77 0.6961 1 0 Aorta
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#material: 3.4969 0.2261 1 0 Bladder
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#add_dispersion_debye: 3 370.48 9.1145e-8 21.866 4.6778e-10 15.38 0.94981e-11 Bladder
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#material: 7.5425 0.73265 1 0 Blood
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#add_dispersion_debye: 3 3529.4 8.8589e-8 110.21 5.4229e-9 53.637 0.89892 Blood
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#material: 44.77 0.6961 1 0 BloodVessel
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#material: 68.9 1.636 1 0 BodyFluid
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## Avg. Bone used for BoneCancellous & BoneMarrow
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#material: 3.8518 0.095687 1 0 BoneCancellous
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#add_dispersion_debye: 3 125.82 3.2802e-8 18.125 2.4901e-9 11.748 1.379e-11 BoneCancellous
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#material: 3.4498 0.022411 1 0 BoneCortical
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#add_dispersion_debye: 3 118.19 4.6747e-8 9.5114 2.2822e-9 8.807 1.3731e-11 BoneCortical
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## Avg. Bone used for BoneCancellous & BoneMarrow
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#material: 3.8518 0.095687 1 0 BoneMarrow
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#add_dispersion_debye: 3 125.82 3.2802e-8 18.125 2.4901e-9 11.748 1.379e-11 BoneMarrow
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## Avg. Brain used for BrainGreyMatter & BrainWhiteMatter
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#material: 6.9992 0.17911 1 0 BrainGreyMatter
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#add_dispersion_debye: 3 787.41 2.2589e-8 142.26 2.5012e-9 40.264 0.91939e-11 BrainGreyMatter
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#material: 6.9992 0.17911 1 0 BrainWhiteMatter
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#add_dispersion_debye: 3 787.41 2.2589e-8 142.26 2.5012e-9 40.264 0.91939e-11 BrainWhiteMatter
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#material: 5.424 0.04896 1 0 BreastFat
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#material: 42.65 0.7824 1 0 Cartilage
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#material: 6.9992 0.17911 1 0 Cerebellum
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#add_dispersion_debye: 3 787.41 2.2589e-8 142.26 2.5012e-9 40.264 0.91939e-11 Cerebellum
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#material: 5.7772 2.0002 1 0 CerebroSpinalFluid
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#add_dispersion_debye: 3 40.84 0.15293e-8 27.951 0.014519e-9 34.334 0.50631e-11 CerebroSpinalFluid
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#material: 49.78 0.9591 1 0 Cervix
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#material: 57.94 1.08 1 0 Colon
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#material: 55.23 1.394 1 0 Cornea
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#material: 7.8582 0.55004 1 0 Duodenum
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#add_dispersion_debye: 3 1674.5 6.273e-8 74.699 4.4123e-9 56.797 0.85287e-11 Duodenum
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#material: 44.43 0.9611 1 0 Dura
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#material: 55.27 1.167 1 0 EyeSclera
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#material: 3.261 0.043999 1 0 Fat
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#add_dispersion_debye: 3 34.522 1.3971e-8 2.2452 0.04806e-9 6.2928 0.60675e-11 Fat
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#material: 4.7563 0.90026 1 0 GallBladder
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#add_dispersion_debye: 3 40.681 0.1583e-8 20.066 0.01249e-9 33.876 0.57641e-11 GallBladder
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#material: 70.19 1.838 1 0 GallBladderBile
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#material: 59.68 1.038 1 0 Gland
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#material: 7.8989 0.27449 1 0 Heart
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#add_dispersion_debye: 3 1935.3 7.9786e-8 138.97 3.2768e-9 50.762 0.93944e-11 Heart
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#material: 7.8691 0.23004 1 0 Kidney
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#add_dispersion_debye: 3 2025 6.5466e-8 167.3 3.0341e-9 48.945 0.96655e-11 Kidney
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## Avg. Lens
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#material: 5.8421 0.27596 1 0 Lens
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#add_dispersion_debye: 3 630.99 5.9556e-8 62.733 3.6647e-9 30.811 0.89718e-11 Lens
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#material: 6.809 0.14243 1 0 Liver
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#add_dispersion_debye: 3 1529.8 8.4314e-8 112.04 3.7562e-9 39.593 1.0293e-11 Liver
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## Avg. Lung used for LungDeflated & LungInflated
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#material: 5.5014 0.21296 1 0 LungDeflated
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#add_dispersion_debye: 3 899.49 6.9396e-8 62.733 3.6647e-9 30.811 0.89718e-11 LungDeflated
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#material: 5.5014 0.21296 1 0 LungInflated
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#add_dispersion_debye: 3 899.49 6.9396e-8 62.733 3.6647e-9 30.811 0.89718e-11 LungInflated
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#material: 59.68 1.038 1 0 Lymph
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#material: 46.08 0.8447 1 0 MucousMembrane
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## Avg. Muscle
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#material: 7.5933 0.42066 1 0 Muscle
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#add_dispersion_debye: 3 2646.6 13.044e-8 87.588 6.1808e-9 47.546 0.79767e-11 Muscle
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#material: 12.45 0.1433 1 0 Nail
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#material: 32.53 0.5737 1 0 Nerve
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#material: 65.06 1.187 1 0 Oesophagus
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#material: 50.47 1.29 1 0 Ovary
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#material: 59.68 1.038 1 0 Pancreas
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#material: 60.55 1.21 1 0 Prostate
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#material: 55.27 1.167 1 0 Retina
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## Avg. Skin used from SkinDry & SkinWet
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#material: 5.8661 0.092415 1 0 SkinDry
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#add_dispersion_debye: 3 1123 5.4817e-8 144.69 4.0078e-9 37.434 0.88726e-11 SkinDry
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#material: 5.8661 0.092415 1 0 SkinWet
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#add_dispersion_debye: 3 1123 5.4817e-8 144.69 4.0078e-9 37.434 0.88726e-11 SkinWet
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#material: 7.7811 0.6884 1 0 SmallIntestine
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#add_dispersion_debye: 3 6590.7 9.123e-8 211.31 4.2003e-9 50.6 0.92249e-11 SmallIntestine
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#material: 32.53 0.5737 1 0 SpinalCord
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#material: 57.18 1.273 1 0 Spleen
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#material: 7.8582 0.55004 1 0 Stomach
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#add_dispersion_debye: 3 1674.5 6.273e-8 74.699 4.4123e-9 56.797 0.85287e-11 Stomach
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#material: 45.83 0.7184 1 0 Tendon
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#material: 60.55 1.21 1 0 Testis
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#material: 59.68 1.038 1 0 Thymus
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#material: 59.68 1.038 1 0 Thyroid
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#material: 55.27 0.9363 1 0 Tongue
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#material: 12.45 0.1433 1 0 Tooth
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#material: 42.01 0.7711 1 0 Trachea
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#material: 61.12 1.27 1 0 Uterus
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#material: 4.0041 1.5001 1 0 VitreousHumor
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#add_dispersion_debye: 3 21.766 12.46e-8 1.364 15.742e-9 65.024 0.72371e-11 VitreousHumor
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@@ -0,0 +1,23 @@
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import argparse, os
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import h5py
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# Parse command line arguments
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parser = argparse.ArgumentParser(description='Writes a HDF5 file of AustinMan or AustinWoman head only.', usage='python head_only_hdf5 filename')
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parser.add_argument('filename', help='name and path to (HDF5) file containing AustinMan or AustinWoman model')
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args = parser.parse_args()
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# Read full body HDF5 file
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f = h5py.File(args.filename, 'r')
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dx_dy_dz = f.attrs['dx, dy, dz']
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data = f['/data'][:,:,:]
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# Define head as last 1/8 of total body height
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nzhead = 7 * int(data.shape[2] / 8)
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print('Dimensions of head model: {:g} x {:g} x {:g} cells'.format(data.shape[0], data.shape[1], data.shape[2] - nzhead))
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# Write HDF5 file
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headfile = os.path.splitext(args.filename)[0] + '_head.h5'
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f = h5py.File(headfile, 'w')
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f.attrs['dx, dy, dz'] = dx_dy_dz
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f['/data'] = data[:,:,nzhead:data.shape[2]]
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