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地中海贫血症伴心肌铁过载患者的心脏磁共振图像:数据注释。

Cardiac MR images of thalassemia major patients with myocardial iron overload: a data note.

机构信息

Department of Medical Imaging, Alavi Hospital, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

出版信息

BMC Res Notes. 2021 Aug 19;14(1):318. doi: 10.1186/s13104-021-05733-2.

Abstract

OBJECTIVE

Patients with thalassemia major (TM) have the highest mortality rate due to heart failure induced by myocardial iron overload. However, T2* weighted MR imaging is currently a gold standard approach for measuring iron overload. Examining ventricular volumes with magnetic resonance imaging (MR imaging) and measuring myocardial iron overload in TM patients allows for an early prediction of heart failure. This dataset includes cardiac MR images of TM patients and the control group with clinical and echocardiographic data. This dataset may be useful to researchers investigating myocardial iron overload. This dataset can also be used for medical image processing applications, such as ventricle segmentation.

DATA DESCRIPTION

This study provides open-source cardiac MR images of 50 subjects and clinical and echocardiographic data. From February 2016 to January 2019, all images and clinical data were obtained from the MRI department of a general hospital in Mashhad, Iran. All the images are 16-bit gray-scale and stored in DICOM format. All patient-specific information is removed from image headers to preserve patient privacy. In addition, all images associated with each subject are compressed and saved in the RAR format.

摘要

目的

由于心肌铁过载导致心力衰竭,重型地中海贫血(TM)患者的死亡率最高。然而,T2*加权磁共振成像(MR 成像)目前是测量铁过载的金标准方法。通过磁共振成像(MR 成像)检查心室容积并测量 TM 患者的心肌铁过载,可以早期预测心力衰竭。该数据集包含 TM 患者和对照组的心脏磁共振图像以及临床和超声心动图数据。该数据集可用于研究心肌铁过载的研究人员。该数据集还可用于医学图像处理应用,如心室分割。

数据集描述

本研究提供了 50 名受试者的开源心脏磁共振图像以及临床和超声心动图数据。从 2016 年 2 月至 2019 年 1 月,所有图像和临床数据均来自伊朗马什哈德的一家综合医院的 MRI 部门获得。所有图像均为 16 位灰度图像,并以 DICOM 格式存储。从图像标头中删除了所有患者特定的信息,以保护患者隐私。此外,与每个受试者相关的所有图像都以 RAR 格式压缩并保存。

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