Alena Ulla Uus 6 hónapja
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1 módosított fájl, 3 hozzáadás és 8 törlés
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      README.md

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README.md

@@ -13,7 +13,7 @@ The input images were aquired on 0.55T Free.Max Siemens scanner using T2w HASTE
 
 ### Structural 4D T2w MRI altas of the fetal brain at 0.55T
 
-The fetal brain atlas was created from 3D SVR-reconstructed images of 108 normal control fetuses (0.55T, TE=100ms). It was generated using affine and 3 non-rigid registration iterations in MIRTK toolbox with 1 week temporal window sigma  averaging and Laplacian sharpening. The atlas includes 16 week timepoints from 22 to 37 weeks with 0.7mm resolution. The parcellation label includes the major brain tissue structures (Uus, Kyriakopoulou et al., 2023: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153133/). 
+The fetal brain atlas was created from 3D SVR-reconstructed images of 108 normal control fetuses (0.55T, TE=100ms). It was generated using affine and 3 non-rigid registration iterations in MIRTK toolbox with 1 week temporal window sigma  averaging and Laplacian sharpening. The atlas includes 17 week timepoints from 22 to 38 weeks with 0.8mm resolution. The parcellation label includes the major brain tissue structures (Uus, Kyriakopoulou et al., 2023: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153133/). 
 
 
 
@@ -23,7 +23,7 @@ The fetal brain atlas was created from 3D SVR-reconstructed images of 108 normal
 
 ### Structural 4D T2w MRI altas of the fetal body at 0.55T
 
-The fetal body atlas was created from 3D DSVR-reconstructed images of 106 normal control fetuses (0.55T, TE=100ms). It was generated using affine and 3 non-rigid registration iterations in MIRTK toolbox with 1 week temporal window sigma averaging and Laplacian sharpening. The atlas includes 16 week timepoints from 22 to 37 weeks GA range with 0.7mm resolution. The parcellation label includes the major brain tissue structures (Uus, Hall et al., 2023: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312818/). 
+The fetal body atlas was created from 3D DSVR-reconstructed images of 106 normal control fetuses (0.55T, TE=100ms). It was generated using affine and 3 non-rigid registration iterations in MIRTK toolbox with 1 week temporal window sigma averaging and Laplacian sharpening. The atlas includes 17 week timepoints from 22 to 38 weeks GA range with 0.7mm resolution. The parcellation label includes the major body organ structures (Uus, Hall et al., 2023: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312818/). 
 
 
 <img src="https://gin.g-node.org/kcl_cdb/055t_fetal_mri_atlases/raw/master/info/055t-body.jpg" width="900" height="433" />
@@ -33,12 +33,7 @@ The fetal body atlas was created from 3D DSVR-reconstructed images of 106 normal
 
 ### Brain tissue and bory organ normal volumetry growcharts at 0.55T
 
-The volumetry growcharts (centile .csv files) were created from 115 (brain) and 125 (body) normal control fetal datasets (0.55T, TE=100ms, singleton pregnancy) based on deep learning segmentations on 3D D/SVR T2w images of the fetal bran and body.
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+The volumetry growcharts (centile .csv files) were created from 115 (brain) and 125 (body) normal control fetal datasets (0.55T, TE=100ms, singleton pregnancy) based on deep learning segmentations on 3D D/SVR T2w images of the fetal brain and body. They are based on parcellation protocols with [19 brain tissue ROIs](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153133/) and [9 body organ ROIs](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312818).