Spine mri dataset. Aug 16, 2021 · In a companion paper by Cohen-Adad et al.

Spine mri dataset. Nov 22, 2024 · RSNA's 2024 AI challenge used the largest open-source lumbar spine MRI dataset to develop AI models for detecting and classifying degenerative spine conditions, with participation from 1,874 teams worldwide. T1, T2, STIR etc. ) and fields of view (lumbar, cervical, whole spine). png goes with 1. dcm files containing MRI scans of the spine of the person with several dystrophic changes, such as osteophytes, dorsal disc extrusions, dorsal disc protrusions and spondyloarthrosis. Oct 13, 2024 · The dataset includes three primary MRI sequences, sagittal T2/STIR, sagittal T1, and axial T2, each capturing distinct pathological characteristics at different levels of the lumbar spine. An iterative data annotation approach Jan 22, 2025 · This dataset includes imaging data and reports from consecutive non-contrast lumbar spine MRI examinations conducted between 2017 and 2023. Our result suggests that using the multi-slice encoded MRI dataset, the proposed detection-guided classification framework effectively localizes degenerative regions and achieves high classification accuracy by focusing on relevant areas rather than processing entire MRI slices. It’s an invaluable resource for the development of machine learning models aimed at classifying and segmenting spinal abnormalities. Jan 1, 2023 · Image [6] Fig. Jul 15, 2024 · However, these grades are subjective, prompting the need to develop an automated technique to enhance inter-rater reliability. 0 Dataset card Data Studio FilesFiles and versions Community 1 main lumbar-spine-mri-dataset /DICOMDIR TrainingDataPro Upload 109 files 9e08664 verifiedover 1 year ago download Copy download link history May 11, 2021 · This repository contains code for our paper published in Radiology Journal (RSNA): "Deep Learning Model for Automated Detection and Classification of Central Canal, Lateral Recess, and Neural Foraminal Stenosis at Lumbar Spine MRI" Article link (Published online: May 11 2021) In the paper, we develop and apply AI techniques to automatically detect and classify lumbar spinal stenosis on MRI images. Each patient data can have one or more MRI studies associated with it. Each of the image’s abnormal findings was manually annotated by a skilled radiologist with bounding boxes divided into 13 categories. Jan 3, 2022 · The material used in this research is taken from our Lumbar Spine MRI Dataset which is available publicly [6, 17]. RSNA cervical dataset: spine MRI scans and a report from the doctor this paper presents a large publicly available multi-center lumbar spine magnetic resonance imaging (MRI) dataset with reference segmentations of vertebrae, intervertebral discs (IVDs), and spinal canal. Accurate segmentation of the vertebral body, lamina and dural sac is a key step in the diagnosis of LSS. These images also include a number of sacrum and thoracic vertebrae and intervertebral discs. The dataset contains MRI images of the lumbar vertebras and lumbar discs, focusing on the vertebras and lumbar intervertebral discs. Data Augmentation Because of the relatively small sample size, to prevent overfitting, all images were randomly augmented using the RSNA cervical dataset: spine MRI scans and a report from the doctor To develop accurate and reliable AI algorithms for lumbar spine MRI segmentation, large and diverse datasets with reference segmentations are needed. - neuropoly/totalspineseg A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography - MIRACLE-Center/CTSpine1K We would like to show you a description here but the site won’t allow us. A The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) dataset is composed of MRI studies of the lumbar spine from 2,697 patients with a total of 8,593 image series from 8 institutions across 6 countries and 5 continents. dcm 文件，涉及多种退行性变化，如椎间盘退变、骨刺、背盘突出、脊柱炎和椎动脉 B2 段不对称等。图像由医生进行标注，并附有 PDF 格式的报告。数据集内容 Nov 18, 2024 · Background MRI is critical for diagnosing lumbar spine disorders but its complexity challenges diagnostic accuracy. and Sudirman, S. The performance of the trained model was evaluated using the dice similarity coefficient (DSC), accuracy, precision, recall and intersection-over-union (IoU) metrics. , van Hooff, M. The dataset consists of 48,345 T1-weighted and T2-weighted traverse and sagittal images of the patients’ lumbar spine. dcm files containing MRI scans of the spine of the person with several dystrophic changes, such as osteochondrosis, spondyloarthrosis, hemangioma, physiological lordosis smoothed, osteophytes and aggravated defects. In this dataset, we labeled two subjects in lumbar spine disc state and canal stenosis. (2022) Classification of Sagittal Lumbar Spine MRI for Lumbar Spinal Stenosis Detection Using Transfer Learning of a Deep Convolutional Neural Network. Dataset: The “images” folder contains 20 pngs of spine MRI slices. Unlock Medical Imaging Insights for AI/MLSomething went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Residual severe aortic valve stenosis. Current functionality includes: Detecting and labelling vertebral bodies in sagittally-sliced MRI scan across a range of common sequences (e. , Buckens, C. Jun 21, 2023 · This paper presents a large publicly available multi-center lumbar spine magnetic resonance imaging (MRI) dataset with reference segmentations of vertebrae, intervertebral discs (IVDs), and spinal canal. we introduce the spine generic quantitative MRI protocol that provides valuable metrics for assessing spinal cord macrostructural and microstructural integrity. W. We utilize the u-net model [ref] which is comprised of an encoder network and a decoder network. The performance of the proposed algorithm was evaluated through a set of experiments on the Lumbar Spine MRI dataset containing MRI studies of 515 patients. Overall, a very accu-rate segmentation performance of 97% Dice Jun 1, 2023 · The MIDAS dataset is an extensive collection of MR images corresponding to the lumbar spine. We use the pre-trained MobileNet_v2 as the encoder and and the decoder is the upsample block already implemented in TensorFlow Pix2pix Mar 26, 2025 · Test dataset The test dataset comprised 50 random cervical spine MRIs from 50 adult patients (>18 years) who had preoperative MRIs for DCS surgery, from December 2015 to August 2018 at Ng Teng Fong General Hospital, Singapore (acquired on Siemens 1. this paper presents a large publicly available multi-center lumbar spine magnetic resonance imaging (MRI) dataset with reference segmentations of vertebrae, intervertebral discs (IVDs), and spinal Dec 1, 2024 · The use of a CNN in patch-based classification for automatic vertebral segmentation utilizing three different MRI spine tumor datasets is unprecedented, as far as we are aware. These experiments compare the performance of our contour evolution algorithm with the Geodesic Active Contour and Chan-Vese methods over 22 different setups. To the best of our knowledge, no existing studies have been devoted to the development and evaluation of a comprehensive system for classifying and localizing multiple spine lesions from X-ray scans. The SSMSpine dataset is synthesized using a combination of a statistical shape model (SSM) and biomechanics, which serves as a special way of de-identifying patient image data. Since its launch more than a decade ago, the landmark public-private partnership has made major contributions to AD research, enabling the sharing of data Apr 25, 2024 · 原始信息汇总 Spine MRI Dataset, Anomaly Detection & Segmentation 数据集概述该数据集包含 MRI 脊柱扫描的 . Oct 23, 2024 · Recognizing the scarcity of detailed datasets in this area, we introduce an open-access lumbosacral spine MRI dataset, meticulously capturing spinal nerve root structures. The dataset consists of 48,345 T1-weighted and T2-weighted MRI images of each patient’s lumbar spine taken using a 1. Jul 1, 2024 · The Oxford Whole Spine (OWS) dataset and spinal metastases datasets are part of Oxford Secondary Care Lumbar Magnetic Resonance Imaging Cohorts (OSCLMRIC) which is a Health Research Authority (REC 3 days ago · 腰椎MRI数据集 - 超过240万份研究案例，包含腰椎椎体和椎间盘的MRI图像以及放射科医生的相应文本报告，包括详细描述、结论和建议。该数据集覆盖了67种以上的病理学，旨在用于医学影像分析、脊柱分割和诊断研究。数据集包含的技术特征和元数据均有标注，数据格式为DICOM和JPG。 This dataset is comprised of high-resolution MRI scans of the spine, showcasing various degenerative and dystrophic changes, including vertebral fractures, osteophytes, and disc protrusions. In collaboration with the American Society of Neuroradiology, the 2024 RSNA Lumbar Spine Degenerative Classification AI Challenge invited researchers to develop models that can detect and classify degenerative spine conditions using lumbar spine MR images. The dataset includes 5 studies, made from the different Mar 23, 2022 · The database contains MRI datasets collected from these 34 patients, whereby 21 patients were rescanned at a second time point using a different MRI scanner model and/or sequence protocol (mean May 31, 2021 · In this paper, we introduce a large-scale spine CT dataset, called CTSpine1K, curated from multiple sources for vertebra segmentation, which contains 1,005 CT volumes with over 11,100 labeled vertebrae belonging to different spinal conditions. The research began with the creation of a large spine X-ray image dataset consisting of 10,468 images. Our goal is to analyze large datasets from GNC to better understand sources of back pain. Each mid-sagittal view contains 5 lumbar vertebrae and 6 lumbar intervertebral discs. Please check the related source code and MRI dataset in the Related Links section below. Sep 23, 2024 · 腰椎脊柱MRI扫描数据集（Lumbar Spine MRI Scans）是一个包含240万次研究的庞大医学影像数据集，专注于腰椎椎骨和腰椎间盘的MRI图像。该数据集由多个中心合作创建，旨在支持脊柱疾病的诊断，特别是退行性脊柱疾病、腰椎退行性病变和椎间盘突出等。通过提供详细的医学报告和多种视图的MRI图像，该 This dataset contains MRI scans of the spine showing various abnormalities that can occur, like changes in spine shape, bone growths, bulging discs, lesions within the spinal cord, fluid-filled cavities, and issues with the spinal canal and vertebral arteries. Apr 3, 2019 · This dataset contains the raw label images and ground truth label images of axial view slices of lumbar spine MRI used to train SegNet to detect lumbar spinal stenosis. Abstract This paper presents a large publicly available multi-center lumbar spine magnetic resonance imaging (MRI) dataset with reference segmentations of vertebrae, intervertebral discs (IVDs), and spinal canal. We have accessed datasets of "lumbar spine MRI" from mendely datasets. 4. Presently, these measurements are being taken either Mar 25, 2019 · This dataset contains the raw label images and ground truth label images of lumbar spine MRI used to train SegNet to detect lumbar spinal stenosis. Jun 3, 2020 · This dataset contains lumbosacral spine MRI images of 14 healthy adults with enhanced spinal nerve root structure resolution, using constructive interference in steady state (CISS) sequence, double echo steady state (DESS) sequence, and T2-weight turbo spin echo (T2-TSE) sequence. Each study consisted of up to three MRI series, resulting in a total of 544 series. A list of Medical imaging datasets. Mar 5, 2024 · SPIDER数据集是由荷兰拉德布德大学医学中心等机构共同创建的大型多中心腰椎MRI数据集，包含447个矢状T1和T2 MRI系列，来源于218名有下背痛历史的患者。数据集通过迭代数据标注方法，利用自动分割算法进行半自动分割，随后进行人工审核和修正，以提高分割精度。该数据集不仅包含椎体、椎间盘和 Radiographs are used as the most important imaging tool for identifying spine anomalies in clinical practice. conventional spin echo T2, STIR, or Dixon), sagittal T1, and axial T2 May 10, 2024 · The dataset consists of 48,345 T1-weighted and T2-weighted MRI images of each patient’s lumbar spine taken using a 1. This protocol was used to acquire a single subject dataset across 19 centers and a multi-subject … Image Formats: imagefolder Languages: English Size: < 1K Tags: biology medical code Libraries: Datasets Croissant License: cc-by-nc-nd-4. e. Jan 13, 2022 · The different combinations of methods are tested on a publicly available lumbar spine MRI dataset consisting of MRI studies of 515 patients with symptomatic back pain. May 16, 2024 · This multi-institutional, expertly curated dataset promises to improve standardized classification of degenerative lumbar spine conditions and enable development of tools to automate accurate and rapid disease classification. Step into our specialized Medical Image Collection showcasing the Meningioma Cancer MRI Medical Imaging Dataset for the Spine. you can further extend it into multi-class classification. In spine imaging, several atlas- and shape-based as well as deep learning segmentation Jan 23, 2024 · We selected the SPIDER lumbar spine MRI segmentation dataset (van der Graaf et al. We had 905 images belonging to the axial T2, 181 belonging to sagittal T2, and 362 belonging to myelography. Spine fracture dataset: spine MRI scans and a report from the doctor Lumbar spine MRI dataset with reference segmentations of vertebrae, intervertebral discs, and spinal canal. The studies were obtained from four hospitals, which included an academic center, two regional hospitals, and one orthopedic hospital, between January 2019 and March 2022. Proper diagnosis and treatment can improve the overall health and quality of life for patients. Methods The segmentation quality of MRI data is evaluated using dice Jun 10, 2025 · The dataset was created for the RSNA 2024 Lumbar Spine Degenerative Classification competition where competitors developed deep learning models to grade degenerative changes in the lumbar spine. Jul 5, 2024 · The original dataset containing 710 lumbar spine MRI images was finally screened from more than 1000 T2-weighted images from the perspective of clarity. This dataset had 1448 MRI images of the lumbar spine. 5/3. 2. Nagar et al. - Get the data Apr 3, 2019 · This data set contains anonymised clinical MRI study, or a set of scans, of 515 patients with symptomatic back pains. Methods: We LUMBAR MRI DATASET This dataset includes T1-weighted and T2-weighted mid-sagittal MR images of 80 subjects. This paper investigates a data- and knowledge-driven approach to auto-matically analyze lumbar MRI scans. The standard sagittal T1 and T2 Oct 15, 2024 · To address this problem, we introduce an open-access lumbosacral spine MRI dataset acquired in 14 healthy adults, using constructive interference in steady state (CISS) sequence, double echo steady state (DESS) sequence, and T2-weight turbo spin echo (T2-TSE) sequence, with enhanced nerve root resolution. Feb 10, 2023 · The results of the training with the CNN model were verified by testing the grading of the dataset using an automatic model. Jun 1, 2025 · Using the SPIDER dataset (), a well-established and publicly available dataset for lumbar spine segmentation in MR images, provides a realistic representation of clinical conditions with MRI scans from patients with low back pain. This study presents an lumbar spine magnetic resonance imaging image segmentation method based on deep learning. An iterative data annotation approach Aug 16, 2021 · An open-access lumbosacral spine MRI dataset with enhanced spinal nerve root structure resolution Harmonization of multi-site diffusion tensor imaging data for cervical and thoracic spinal cord at The SPIDER dataset contains (human) lumbar spine magnetic resonance images (MRI) and segmentation masks from the following paper: van der Graaf, J. Edited by A. Image [9] 5. We implemented and assessed three deep learning models-U-Net, Attention U-Net, and MultiResUNet-using 5-fold cross-validation. NIH Database of 100,000 Chest X-Rays Images, associated clinical data, annotations, and diagnoses OASIS Cross-sectional MRI Data in Young, Middle Aged, Nondemented and Demented Older Adults Longitudinal MRI Data in Nondemented and Demented Older Adults ADNI Alzheimer’s Disease Neuroimaging Initiative (ADNI) unites researchers with study data as they work to define the progression of Segmentation of spine MRI slices In this work we are building a segmentation network to segment images of spine. The Alzheimer’s Disease Neuroimaging Initiative (ADNI) is a longitudinal multicenter study designed to develop clinical, imaging, genetic, and biochemical biomarkers for the early detection and tracking of Alzheimer’s disease (AD). The dataset comprised cervical spine X-ray and T2-weighted MRI lateral images of 100 patients, collected between January 2022 and December 2023. r. 0T MRI platforms). This protocol was used to acquire a single subject dataset across 19 centers and a multi-subject dataset across 42 centers (for a total of 260 participants), spanning the three main Jul 29, 2020 · This dataset provides vertebral segmentation masks for spine CT images and annotations of vertebral fractures or abnormalities per vertebral level; it is available from and is intended for large-sc Spine MRI Dataset, Anomaly Detection & Segmentation The dataset consists of . This dataset was acquired using the spine-generic protocol on multiple subjects, multiple sites and multiple MRI vendors and models. This meticulously curated dataset is designed to enhance diagnostic research, AI model development, and clinical training for spinal meningioma cancer detection. M. 21. org is a project dedicated to the free and open sharing of raw magnetic resonance imaging (MRI) datasets. dcm文件格式存储，并附有医生的标签和PDF格式的报告。数据集包括5个研究，每个研究从不同角度提供了对多种脊柱退行性变化的全面理解，适用于训练脊柱异常分类算法。数据集还提到了商业用途的完整版本，包含20,000个脊柱研究，涵盖了多种疾病和条件 Dataset preparation: sagittal T2-weighted MRI of lumbar spine (a), annotation by a radiologist (b), image generation augmented by horizontal flip, cropping (zoom 0–20%), rotation (between −15° and 15°), shear (±15° horizontal and ±15° vertical) (c). The labelling process was carried Mar 25, 2019 · Our original data set contains clinical MRI study, or a set of scans, of 515 patients with symptomatic back pains. The challenge was held in two iterations in conjunction with MICCAI 2019 and 2020. The lack of MRI datasets with enhanced spinal nerve root structure resolution remains a notable gap in the context of EES research. Mar 25, 2024 · References Natalia, F. The dataset includes 447 sagittal T1 and T2 MRI series from 218 patients with a history of low b … Nov 11, 2024 · A large, publicly available dataset of sagittal lumbar spine MRI images with ground truth segmentations was used to train a BRAU-Net++ hybrid CNN–transformer neural network. The images are acquired using both T1- and T2-weighted sequences. Mar 25, 2025 · The combined dataset comprised 683 lumbar spine MRI scans for training and testing, with an additional 50 scans reserved for external validation. TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. Spine fracture dataset: spine MRI scans and a report from the doctor Dataset ¶ We gathered lumbar spine MRI studies from 257 patients who had experienced LBP in the past. Each study contains slices, i. It covers 67+ pathologies and is designed for medical imaging analysis, spine segmentation, and diagnostic research. OpenNeuro is a free platform for sharing, browsing, and managing neuroimaging data, fostering open and reproducible research in the field. tsv. The dataset used is an in-house dataset of 142 sagital lumbar spine images from German radiology prac-tices of the evidia GmbH. The four labelled Regions of Interest namely 1) Intervertebral Disc (IVD), 2) Posterior Element (PE), 3) Thecal Sac (TS) and 4) the Area between Anterior and Posterior (AAP) vertebrae elements. Results: The training dataset of the sagittal intervertebral disc lumbar MRI images found 220 IDDs of grade I, 530 of grade II, 170 of grade III, 160 of grade IV, and 20 of grade V. Lumbar spine MRI dataset: high-quality imaging of vertebras and discs The SPIDER dataset contains (human) lumbar spine magnetic resonance images (MRI) and segmentation masks described in the following paper: van der Graaf, J. All images from the same scanning session are accompanied by a radiologist’s report (who performed the scan). Table 1 summarizes the MRI protocol used in these scans. DICOM is the primary file format used by TCIA for radiology imaging May 18, 2021 · To our knowledge, this study is the first to leverage a large prospective dataset of cervical spine MRI scans and to produce a model with high accuracy for detecting spinal cord compression. Dec 6, 2022 · In this work, we collected a new dataset of 300 patients with a total of 600 cervical spine images in the MRI T2-weighted (T2W) modality for the first time, which included the cervical spine, intervertebral discs, spinal cord, and spinal canal information. The list of subjects is available in participants. Aug 24, 2021 · The dataset, called VinDr-SpineXR, contains 10,466 spine X-ray images from 5,000 studies, each of which is manually annotated with 13 types of abnormalities by an experienced radiologist with bounding boxes around abnormal findings. Nov 19, 2024 · The dataset comprises a multicenter collection of sagittal lumbar MRI obtained from four different hospitals in the Netherlands, Ground truth labels for semantic segmentation were created by combining vertebrae annotations (starting from L5) and one-hot-encoded into three structures: spinal canal (SC), vertebral bodies (VB), and IVD. This study introduces an automated convolutional neural network (CNN) technique trained on clinical MRI images of IVD and facet joints obtained from public-access Lumbar Spine MRI Dataset. Mar 24, 2025 · This dataset comprises 1038 sagittal spinal MRI images, each with a resolution of 384 × 384 pixels. lung cancer), image modality or type (MRI, CT, digital histopathology, etc) or research focus. Conclusion and Future Work 5. [todo] this version might be unstable and we are still working on different testing. Figure 1. Sep 1, 2024 · It is designed for classifying and localizing abnormalities in spine X-rays. The dataset includes 447 sagittal T1 and T2 MRI series from 218 patients with a his-tory of low back pain. Contribute to sfikas/medical-imaging-datasets development by creating an account on GitHub. Introduction Chronic lower back and leg pain, frequently resulting from a condition known as lumbar spinal stenosis (LSS), is a widespread affliction that affects millions of people worldwide. The axial view slices are mainly taken from the last Oct 15, 2024 · To bridge this gap, we present an open-access lumbosacral spine MRI dataset with enhanced resolution of spinal nerve root structures. This dataset follows the BIDS convention. Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterative Algorithm. The dataset includes 447 sagittal T1 and T2 MRI series from 218 patients with a history of low back pain and was collected from four different hospitals. npy files, where each mask represents the segmentation map of the discs and vertebrae for the corresponding spine image (1. . Singapore: Springer Nature Singapore. Lumbar spine segmentation in MR images: a dataset and a public benchmark. L. Nov 20, 2023 · This is a large publicly available multi-center lumbar spine magnetic resonance imaging (MRI) dataset with reference segmentations of vertebrae, intervertebral discs (IVDs), and spinal canal. It was collected from four diferent hospitals and was divided into a Mar 2, 2021 · This composite dataset comprising of mid-sagittal views of lumbar spine is composed of images of lumbar spine with ground truth images duly labelled/annotated as well the spinal measurements. We currently work on methods to translate MRI to CT to use existing labeling and segmentation methods. Mar 2, 2024 · This paper presents a large publicly available multi-center lumbar spine magnetic resonance imaging (MRI) dataset with reference segmentations of vertebrae, intervertebral discs (IVDs), and spinal canal. This study aims to streamline the diagnostic process by developing an automated radiology report generation (ARRG) system using a vision–language (VL) model. The images are labeled by the doctors and This dataset represents a comprehensive multi-center collection of lumbar spine MRI scans, complete with ref-erence segmentations of vertebrae, IVDs, and the spinal canal. The protocols and datasets are open-access and the data analysis code is open-source. Apr 25, 2024 · 该数据集包含脊柱的MRI扫描图像，图像以. dcm files containing MRI scans of the spine of the person with several dystrophic changes, such as osteophytes, focal mass in the Th7 vertebral body, fluid mass on the anterior contour of the Th7 vertebra, dorsal protrusion of the Th11-Th12 disc and spondyloarthrosis. Mar 10, 2021 · Lumbar spinal stenosis (LSS) is a lumbar disease with a high incidence in recent years. Abstract In a companion paper by Cohen-Adad et al. The data are organized as “collections”; typically patients’ imaging related by a common disease (e. - AbdlhMhmd/Spider-project The dataset contains MRI images of the lumbar vertebras and lumbar discs, focusing on the vertebras and lumbar intervertebral discs. We update the codes to fine-tune the SegmentAnyBone to custom datasets, and the dataset preparation guideline can be found in our other repo: . 1 Conclusion Lumbar spine MRI dataset is reviewed thoroughly and for research T1-weighted Axial MRI images, where Axial view MRI images is obtained for Intervertebral Disc that are located in lumbar region of spine and these discs are numbered as D3 D4 D5. OpenfMRI. Sep 23, 2024 · Lumbar Spine MRI数据集由UniData机构创建，专注于腰椎区域的磁共振成像（MRI）数据，旨在为脊柱疾病的诊断提供支持。该数据集包含超过240万项研究，涵盖了腰椎椎体和椎间盘的MRI图像，并附有详细的医学报告。 Spine MRI Dataset, Anomaly Detection & Segmentation The dataset consists of . Jul 1, 2025 · The dataset comprises image slices from 250 patients, included axial bone window and soft tissue window CT, as well as sagittal T1-weighted and T2-weighted MRI, and axial T2-weighted MRI. The challenge, supported by A new private lumbar spine dataset was built. The purpose of creating this dataset was to establish a strong correlation in the images with the spinal measurements being clinically relevant. The scans are accompanied with medical reports to help in diagnosing spine diseases such as degenerative spine conditions, lumbar degenerative disorders, and disc herniations. The carefully curated and annotated dataset includes images from more than eight sites across five continents. The diversity of forms of the LDH resulted in a variety of clinical manifestations. May 10, 2024 · The dataset consists of 48,345 T1-weighted and T2-weighted MRI images of each patient’s lumbar spine taken using a 1. Each image has been annotated with segmentation masks corresponding to various spinal conditions and the filenames have been standardized to ensure a clear link between raw images and their masks. The contributors have the necessary ethics & permissions to share the Jun 21, 2023 · This paper presents a large publicly available multi-center lumbar spine magnetic resonance imaging (MRI) dataset with reference segmentations of vertebrae, intervertebral discs (IVDs), and spinal The spine generic protocol was used in a single-subject reproducibility study across 19+ centers (spanning all three vendors) and in multiple subjects across 42+ centers. you can further fine-tune SegmentAnyBone to your dataset. However, the lack of spine imaging datasets, especially high-quality magnetic resonance imaging (MRI) datasets highlighting nerve roots, hinders the translation of EES into medical practice. For details of the generation process, please refer to our paper Evaluation of Deep Neural Network Models for Instance Segmentation of Lumbar Spine MRI. The dataset Medicine and Healthcare Disease Diagnosis: Use of MRI images of the spine to detect and classify various pathologies such as herniated discs, spinal stenosis, and osteochondrosis. Oct 28, 2021 · With the advent of deep learning algorithms, fully automated radiological image analysis is within reach. Dataset A total of 1,615 spine MRI scans, collected between September 2021 and February 2023 at X-Ray Service s. npy, etc. DC2Anet: Spine CT to MR (SpineC2M) Image Synthesis This repository is a TensorFlow implementation of the paper " DC2Anet: Generating Lumbar Spine MR Images from CT Scan Data Based on Semi-Supervised Learning," Applied Sciences, 2019, 9 (12), 2512. dcm files containing MRI scans of the spine of the person with several dystrophic changes, such as degeneration of discs, osteophytes, dorsal disk extrusion, spondylitis and asymmetry of B2 segments of vertebral arteries. F. Aug 16, 2021 · In a companion paper by Cohen-Adad et al. doi: 10. The data was collected from four different hospitals. This study proposes a BERT-based large language model (LLM) to enhance precision in classifying lumbar spine disorders through the integration of MRI data, textual reports, and numerical measurements. Access the 3DICOM DICOM library to download medical images compiled from open source medical datasets, all in easily downloadable formats! Keywords: lumber spine MRI, lumbar spinal stenosis, vision–language model, Generative Image-to-Text, automated radiology report generation 1. The “masks” folder contains 20 . 5-Tesla Siemens Magnetom Essenza MRI scanner and saved in the Digital Imaging and Communications in Medicine (DICOM) format. 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 lack of MRI datasets with enhanced resolution for spinal cord nerve root structures remains a significant gap in EES research. The dataset includes 447 sagittal T1 and T2 MRI series from 218 studies of 218 patients with a history of low back pain. The lack of large datasets with high-quality images and human experts’ annotations We believe that this large-scale dataset will facilitate further research in many spine-related image analysis tasks, including but not limited to vertebrae segmentation, labeling, 3D spine reconstruction from biplanar radiographs, and image superresolution and enhancement. Spine fracture dataset: spine MRI scans and a report from the doctor Mar 29, 2025 · 该数据集包含一个匿名的临床MRI研究或一组515有症状的背痛患者的扫描。每个患者数据可以有一个或多个与之相关的MRI研究。每个研究都包含切片，从最低的三个椎骨和最低的三个ivd的矢状或轴向视图中拍摄的单个图像。轴向视图切片主要取自最后三个ivd-包括最后一个椎骨和the骨之间的一个。最后 Mar 2, 2024 · This paper presents a large publicly available multi-center lumbar spine magnetic resonance imaging (MRI) dataset with reference segmentations of vertebrae, intervertebral discs (IVDs), and spinal May 20, 2024 · MRI provides a detailed view of the lumbar spine vertebrae, discs and nerves, enabling radiologists to assess the presence and severity of these conditions. We implement state-of-the-art deep learning methods to segment the individual vertebral bodies. Feb 11, 2022 · To help doctors and patients evaluate lumbar intervertebral disc degeneration (IVDD) accurately and efficiently, we propose a segmentation network and a quantitation method for IVDD from T2MRI. The axial view slices are mainly taken from the last three Image analysis in epidemiologic studies We develop AI-based methods to automatically analyze and quantify MR images of the spine. The dataset includes 447 sagittal T1 and T2 MRI series from 218 patients with a history of low back pain and was collected from four diferent hospitals. The four labelled Regions of Interest namely 1) Intervertebral Disc (IVD), 2) Posterior Element (PE), 3) Thecal Sac (TS) and 4) the Area between Anterior Open in OsiriX Download ZIP Alias Name: PHENIX Modality: CT File Size: 120 MB Description: Surgical repair of facial deformity Open in OsiriX Download ZIP Alias Name: PNEUMATIX Modality: MR File Size: 11 MB Description: MRI and MRA images of a patient with a history of aortic coarctation status post repair. The dataset also includes the corresponding anatomical annotations of nerve roots and the final reconstructed 3D Description This composite dataset comprising of mid-sagittal views of lumbar spine is composed of images of lumbar spine with ground truth images duly labelled/annotated as well the spinal measurements. Performing radiological grading at each intervertebral disc level in T2 lumbar scans from T12/L1 to L5/S1 for Open access medical imaging datasets are needed for research, product development, and more for academia and industry. This dataset contains anonymized clinical MRI studies of 515 patients with symptomatic back pains. This dataset represents a primary outcome of the homonym project “Massive Image Data Anatomy of the Spine” (MIDAS). Inclusion criteria included an MR lumbar spine study with a sagittal “T2-like” (e. VerSe is a large scale, multi-detector, multi-site, CT spine dataset consisting of 374 scans from 355 patients. g. 1007/978-981-16-6309-3_16. However, currently available datasets for lumbar spine MRI segmentation are either limited in size, only segment one or two anatomical structures, or are not publicly available. The Lumbar Spine MRI Dataset from the Mendeley Data website in [42] is a publicly available standard dataset containing T1-weighted and T2-weighted mid-sagittal view images of 515 patients. It features a diverse patient population from inpatient, outpatient, and emergency services. Dataset comprises 2,400,000+ medical studies featuring MRI images of the spine alongside corresponding text reports from radiologists, including detailed descriptions, conclusions, and recommendations. To address this gap, the authors propose a high-resolution lumbar-sacral spine MRI dataset specifically designed for spinal cord nerve root structures. The images are labeled by the doctors and accompanied by report in PDF-format. K. We hope this guide will be helpful for machine learning and artificial intelligence […] Jan 20, 2025 · This dataset includes imaging data and reports from consecutive non-contrast lumbar spine MRI examinations conducted between 2017 and 2023. ,, 2023), noted as MRI-LumberSpine, as the external test data to validate our algorithm. This dataset contains the raw label images and ground truth label images of axial view slices of lumbar spine MRI used to train SegNet to detect lumbar spinal stenosis. In addition, we define the quantitative evaluation methods of two clinical indicators To demonstrate the practical implementation and reproducibility of the spine generic protocol, single subject and multi-subject datasets were acquired across multiple centers. An example mid-sagittal view of MR image is shown below. l clinic [31] are considered. To bridge this gap, we present an open-access lumbosacral spine MRI dataset with enhanced resolution of spinal nerve root structures. There is an additional hidden Spine MRI Dataset, Anomaly Detection & Segmentation The dataset consists of . ). Medical text analysis: Utilizing natural language processing to extract insights from annotation of clinical data and processing medical reports for improved patient care and decision-making Rehabilitation: Use of Dataset of MRI images of the spine and corresponding text reports from radiologists with descriptions, conclusions and recommendations 1 day ago · We established a reproducible baseline for the open-radiomics datasets, and studied the effect of PyRadiomics binWidth, image normalization, VOI subregion, and the MRI sequence as four sources of variability on the performance of the radiomics pipeline. , individual images taken from either sagittal or axial view, of the lowest three vertebrae and the lowest three IVDs. Annotations have been SpineNet is automated software for analysing clinical spinal MRI scans. Nov 23, 2024 · Background: Lumbar spinal stenosis (LSS) is a major cause of chronic lower back and leg pain, and is traditionally diagnosed through labor-intensive analysis of magnetic resonance imaging (MRI) scans by radiologists. The SPIDER dataset contains (human) lumbar spine magnetic resonance images (MRI) and segmentation masks described in the following paper: van der Graaf, J. Jun 2, 2025 · The imaging data were obtained from the authorized electronic health records and digital imaging database. et al. Spine MRI Dataset, Anomaly Detection & Segmentation The dataset consists of . daacbdc cjkebkr ckdgqzl ytjzoyl lmou vlcab ict eppre xex jvsts