TrainingDataPro/spine-magnetic-resonance-imaging-dataset

---
license: cc-by-nc-nd-4.0
task_categories:
- image-classification
- image-segmentation
- image-to-image
- object-detection
language:
- en
tags:
- medical
- biology
- code
---
# Spine MRI Dataset, Anomaly Detection & Segmentation

The dataset consists of .dcm files containing **MRI scans of the spine** of the person with several dystrophic changes, such as changes in the shape of the spine, osteophytes, disc protrusions, intracerebral lesions, hydromyelia, spondyloarthrosis and spondylosis, anatomical narrowness of the spinal canal and asymmetry of the vertebral arteries. The images are **labeled** by the doctors and accompanied by **report** in PDF-format.

The dataset includes 5 studies, made from the different angles which provide a comprehensive understanding of a several dystrophic changes and useful in training spine anomaly classification algorithms. Each scan includes detailed imaging of the spine, including the *vertebrae, discs, nerves, and surrounding tissues*.

### MRI study angles in the dataset


# 💴 For Commercial Usage: Full version of the dataset includes 20,000 spine studies of people with different conditions, leave a request on **[TrainingData](https://trainingdata.pro/datasets/spine-mri?utm_source=huggingface&utm_medium=cpc&utm_campaign=spine-magnetic-resonance-imaging-dataset)** to buy the dataset

### Types of diseases and conditions in the full dataset:
- Degeneration of discs
- Osteophytes
- Osteochondrosis
- Hemangioma
- Disk extrusion
- Spondylitis
- **AND MANY OTHER CONDITIONS**


Researchers and healthcare professionals can use this dataset to study spinal conditions and disorders, such as herniated discs, spinal stenosis, scoliosis, and fractures. The dataset can also be used to develop and evaluate new imaging techniques, computer algorithms for image analysis, and artificial intelligence models for automated diagnosis.

# 💴 Buy the Dataset: This is just an example of the data. Leave a request on [https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/spine-mri?utm_source=huggingface&utm_medium=cpc&utm_campaign=spine-magnetic-resonance-imaging-dataset) to discuss your requirements, learn about the price and buy the dataset

# Content

### The dataset includes:
- **ST000001**: includes subfolders with 5 studies. Each study includes MRI-scans in **.dcm and .jpg formats**,
- **DICOMDIR**: includes information about the patient's condition and links to access files,
- **Spine_MRI_5.pdf**: includes medical report, provided by the radiologist,
- **.csv file**: includes id of the studies and the number of files

### Medical reports include the following data:
- Patient's **demographic information**,
- **Description** of the case,
- Preliminary **diagnosis**,
- **Recommendations** on the further actions

*All patients consented to the publication of data*

# Medical data might be collected in accordance with your requirements.

## [TrainingData](https://trainingdata.pro/datasets/spine-mri?utm_source=huggingface&utm_medium=cpc&utm_campaign=spine-magnetic-resonance-imaging-dataset) provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**

TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**

*keywords: mri spine scans, spinal imaging, radiology dataset, neuroimaging, medical imaging data, image segmentation, lumbar spine mri, thoracic spine mri, cervical spine mri, spine anatomy, spinal cord mri, orthopedic imaging, radiologist dataset, mri scan analysis, spine mri dataset, machine learning medical imaging, spinal abnormalities, image classification, neural network spine scans, mri data analysis, deep learning medical imaging, mri image processing, spine tumor detection, spine injury diagnosis, mri image segmentation, spine mri classification, artificial intelligence in radiology, spine abnormalities detection, spine pathology analysis, mri feature extraction.*

The dataset consists of .dcm files containing MRI scans of the spine with several dystrophic changes, such as changes in the shape of the spine, osteophytes, disc protrusions, intracerebral lesions, hydromyelia, spondyloarthrosis and spondylosis, anatomical narrowness of the spinal canal and asymmetry of the vertebral arteries. The images are labeled by doctors and accompanied by a report in PDF format. The dataset includes 5 studies, made from different angles, providing a comprehensive understanding of several dystrophic changes and useful in training spine anomaly classification algorithms. Each scan includes detailed imaging of the spine, including the vertebrae, discs, nerves, and surrounding tissues. The dataset also includes demographic information of the patients, descriptions of the cases, preliminary diagnoses, and recommendations for further actions. All patients consented to the publication of data.

原始信息汇总

Spine MRI Dataset, Anomaly Detection & Segmentation

数据集概述

该数据集包含脊柱MRI扫描的.dcm文件，涉及多种退行性变化，如脊柱形状改变、骨刺、椎间盘突出、脑内病变、水囊症、脊柱关节炎和脊柱病、脊髓管解剖狭窄和椎动脉不对称。图像由医生标注，并附有PDF格式的报告。

数据集内容

• ST000001: 包含5个研究的子文件夹，每个研究包含**.dcm和.jpg格式的MRI扫描**。
• DICOMDIR: 包含患者病情信息和文件访问链接。
• Spine_MRI_5.pdf: 包含放射科医生提供的医疗报告。
• .csv文件: 包含研究ID和文件数量。

医疗报告内容

• 患者的人口统计信息。
• 病例描述。
• 初步诊断。
• 进一步行动的建议。

数据集用途

研究人员和医疗专业人员可以使用此数据集研究脊柱疾病和障碍，如椎间盘突出、脊柱狭窄、脊柱侧弯和骨折。该数据集还可用于开发和评估新的成像技术、图像分析的计算机算法和用于自动诊断的人工智能模型。

数据集扩展

完整版本的数据集包含20,000个不同条件的脊柱研究，涵盖以下疾病和状况：

• 椎间盘退变
• 骨刺
• 骨软骨病
• 血管瘤
• 椎间盘突出
• 脊柱炎
• 及其他多种状况