唇腭裂婴儿石膏模型鼻部测量的3D度量数据

数据集获取（Figshare）

• 源站标题：3D metric data of nasal measurements taken from digitalised plaster models for infants with cleft lip and palate created by computer-aided design and manufacture with and without the RapidNAM refinement
• DOI：10.6084/m9.figshare.7011638.v1
• 发布日期：2018-09-06
• 文件数：1 个
• 文件总体积：24.84 KB
• 源站页面：https://springernature.figshare.com/articles/dataset/3D_metric_data_of_nasal_measurements_taken_from_digitalised_plaster_models_for_infants_with_cleft_lip_and_palate_created_by_computer-aided_design_and_manufacture_with_and_without_the_RapidNAM_refinement/7011638

命令行下载

curl -L -o "Data Sheet for Facilitating CADCAM nasoalveolar molding therapy with a novel click-in system for nasal stents ensuring a quick and user-friendly chairside nasal stent exchange.xlsx" "https://ndownloader.figshare.com/files/12943823"

文件清单

• Data Sheet for Facilitating CADCAM nasoalveolar molding therapy with a novel click-in system for nasal stents ensuring a quick and user-friendly chairside nasal stent exchange.xlsx（24.84 KB）

文件总体积 24.84 KB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

This dataset is a single .xlsx spreadsheet with two tabs. The data are the location of 3D metric points (x,y,z) on plaster models of the noses of 13 healthy newborns who required treatment of unilateral cleft palate and lip (CLP). The two tabs are the data for two treatment approaches: (i) computer-aided design and computer-aided manufacturing (CAD/CAM); (ii) CAD/CAM with the RapidNAM refinement.
The related publication introduces RapidNAM, a technique which refines CAD/CAM technology for nasoalveolar molding (NAM) therapy with virtual modelling and additive manufacturing and tests it against the conventional CAD/CAM therapy. To perform the comparison, casts of the nose and upper lip of patients were taken at the beginning and end of therapy (approximately 3-4 months apart), the casts were digitalised with a 3D triangulation scanner with a resolution of 20 μm, then digitalised plaster models were virtually measured by using Python. Specific points on the the models were chosen for comparison by two independent observers.

The column titles in the Excel files are the following points on the nose, which were selected for measurement by two independent observers (see Fig. 2 of associated publication):

• alar bases (AB, AB.)
• nasal tip (NT)
• subnasal point (SN)
• most anterior point of columella (CA)
• top (NT, NT.) of nostril on healthy and cleft side
• bottom (NB, NB.) of nostril on healthy and cleft side
• inner rim to left (NL, NL.) and right of each nostril (NR, NR.)
• points with shortest connecting line over cleft on vermilion of lip (L, L.)
• the last 8 columns are distances between reference points.
  Variables are listed with x,y, and z since they have been selected on 3D models. Columns containing [x,y,z] coordinates have origin at the barycentre of the plaster model, while other columns are measurements between points. All measurements are in mm. For formatting purposes, where a prime has been used in the manuscript (e.g., AB’'), the Excel file instead contains a point (e.g., AB.).

All data have been anonymised containing no further personal information.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.7011638.v1（source: https://springernature.figshare.com/articles/dataset/3D_metric_data_of_nasal_measurements_taken_from_digitalised_plaster_models_for_infants_with_cleft_lip_and_palate_created_by_computer-aided_design_and_manufacture_with_and_without_the_RapidNAM_refinement/7011638）。