双出口右心室复杂双心室修复的3D建模与打印数据表1

数据集获取（Figshare）

• 源站标题：Data_Sheet_1_3D modeling and printing for complex biventricular repair of double outlet right ventricle.DOCX
• DOI：10.3389/fcvm.2022.1024053.s001
• 发布日期：2022-11-30
• 文件数：1 个
• 文件总体积：2.96 MB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_3D_modeling_and_printing_for_complex_biventricular_repair_of_double_outlet_right_ventricle_DOCX/21646370

命令行下载

curl -L -o "Data_Sheet_1_3D modeling and printing for complex biventricular repair of double outlet right ventricle.DOCX" "https://ndownloader.figshare.com/files/38377541"

文件清单

• Data_Sheet_1_3D modeling and printing for complex biventricular repair of double outlet right ventricle.DOCX（2.96 MB）

文件总体积 2.96 MB（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

BackgroundDouble outlet right ventricle (DORV) describes a group of congenital heart defects where pulmonary artery and aorta originate completely or predominantly from the right ventricle. The individual anatomy of DORV patients varies widely with multiple subtypes classified. Although the majority of morphologies is suitable for biventricular repair (BVR), complex DORV anatomy can render univentricular palliation (UVP) the only option. Thus, patient-specific decision-making is critical for optimal surgical treatment planning. The evolution of image processing and rapid prototyping techniques facilitate the generation of detailed virtual and physical 3D models of the patient-specific anatomy which can support this important decision process within the Heart Team.
Materilas and methodsThe individual cardiovascular anatomy of nine patients with complex DORV, in whom surgical decision-making was not straightforward, was reconstructed from either computed tomography or magnetic resonance imaging data. 3D reconstructions were used to characterize the morphologic details of DORV, such as size and location of the ventricular septal defect (VSD), atrioventricular valve size, ventricular volumes, relationship between the great arteries and their spatial relation to the VSD, outflow tract obstructions, coronary artery anatomy, etc. Additionally, physical models were generated. Virtual and physical models were used in the preoperative assessment to determine surgical treatment strategy, either BVR vs. UVP.
ResultsMedian age at operation was 13.2 months (IQR: 9.6-24.0). The DORV transposition subtype was present in six patients, three patients had a DORV-ventricular septal defect subtype. Patient-specific reconstruction was feasible for all patients despite heterogeneous image quality. Complex BVR was feasible in 5/9 patients (55%). Reasons for unsuitability for BVR were AV valve chordae interfering with potential intraventricular baffle creation, ventricular hypoplasia and non-committed VSD morphology. Evaluation in particular of qualitative data from 3D models was considered to support comprehension of complex anatomy.
ConclusionImage-based 3D reconstruction of patient-s

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fcvm.2022.1024053.s001（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_3D_modeling_and_printing_for_complex_biventricular_repair_of_double_outlet_right_ventricle_DOCX/21646370）。