Suppr超能文献

心脏的60-S逆向压缩感知二维电影成像:更清晰的边界与准确的量化

60-S Retrogated Compressed Sensing 2D Cine of the Heart: Sharper Borders and Accurate Quantification.

作者信息

Longère Benjamin, Gkizas Christos V, Coisne Augustin, Grenier Lucas, Silvestri Valentina, Pagniez Julien, Simeone Arianna, Hennicaux Justin, Schmidt Michaela, Forman Christoph, Toupin Solenn, Montaigne David, Pontana François

机构信息

University of Lille, Inserm, CHU Lille, Institut Pasteur Lille, U1011-European Genomic Institute for Diabetes (EGID), F-59000 Lille, France.

CHU Lille, Department of Cardiovascular Radiology, F-59000 Lille, France.

出版信息

J Clin Med. 2021 May 29;10(11):2417. doi: 10.3390/jcm10112417.

Abstract

BACKGROUND AND OBJECTIVE

Real-time compressed sensing cine (CS) provides reliable quantification for both ventricles but may alter image quality. The aim of this study was to assess image quality and the accuracy of left (LV) and right ventricular (RV) volumes, ejection fraction and mass quantifications based on a retrogated segmented compressed sensing 2D cine sequence (CS).

METHODS

Thirty patients were enrolled. Each patient underwent the reference retrogated segmented steady-state free precession cine sequence (SSFP), the real-time CS cine and the segmented retrogated prototype CS sequence providing the same slices. Functional parameters quantification and image quality rating were performed on SSFP and CS images sets. The edge sharpness, which is an estimate of the edge spread function, was assessed for the three sequences.

RESULTS

The mean scan time was: SSFP = 485.4 ± 83.3 (SD) s (95% CI: 454.3-516.5) and CS = 58.3 ± 15.1 (SD) s (95% CI: 53.7-64.2) ( < 0.0001). CS subjective image quality score (median: 4; range: 2-4) was higher than the one provided by CS (median: 3; range: 2-4; = 0.0008) and not different from SSFP overall quality score (median: 4; range: 2-4; = 0.31). CS provided similar LV and RV functional parameters to those assessed with SSFP ( > 0.05). Edge sharpness was significantly better with CS (0.083 ± 0.013 (SD) pixel; 95% CI: 0.078-0.087) than with CS (0.070 ± 0.011 (SD) pixel; 95% CI: 0.066-0.074; = 0.0004) and not different from the reference technique (0.075 ± 0.016 (SD) pixel; 95% CI: 0.069-0.081; = 0.0516).

CONCLUSIONS

CS cine provides in one minute an accurate quantification of LV and RV functional parameters without compromising subjective and objective image quality.

摘要

背景与目的

实时压缩感知电影成像(CS)可为双心室提供可靠的定量分析,但可能会改变图像质量。本研究的目的是基于回顾性分段压缩感知二维电影序列(CS)评估图像质量以及左心室(LV)和右心室(RV)容积、射血分数和质量定量分析的准确性。

方法

纳入30例患者。每位患者均接受参考回顾性分段稳态自由进动电影序列(SSFP)、实时CS电影成像以及提供相同层面的分段回顾性原型CS序列检查。对SSFP和CS图像集进行功能参数定量分析和图像质量评分。对这三个序列评估边缘锐度,其是边缘扩散函数的一种估计。

结果

平均扫描时间为:SSFP = 485.4 ± 83.3(标准差)秒(95%可信区间:454.3 - 516.5),CS = 58.3 ± 15.1(标准差)秒(95%可信区间:53.7 - 64.2)(< 0.0001)。CS主观图像质量评分(中位数:4;范围:2 - 4)高于CS提供的评分(中位数:3;范围:2 - 4;P = 0.0008),且与SSFP总体质量评分无差异(中位数:4;范围:2 - 4;P = 0.31)。CS提供的LV和RV功能参数与用SSFP评估的结果相似(P > 0.05)。CS的边缘锐度(0.083 ± 0.013(标准差)像素;95%可信区间:0.078 - 0.087)明显优于CS(0.070 ± 0.011(标准差)像素;95%可信区间:0.066 - 0.074;P = 0.0004),且与参考技术无差异(0.075 ± 0.016(标准差)像素;95%可信区间:0.069 - 0.081;P = 0.0516)。

结论

CS电影成像在一分钟内即可准确地对LV和RV功能参数进行定量分析,且不影响主观和客观图像质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c07/8199407/6c5e18698f97/jcm-10-02417-g001.jpg

相似文献

3
Compressed Sensing Real-Time Cine Reduces CMR Arrhythmia-Related Artifacts.
J Clin Med. 2021 Jul 24;10(15):3274. doi: 10.3390/jcm10153274.
4
Single breath-hold compressed sensing real-time cine imaging to assess left ventricular motion in myocardial infarction.
Diagn Interv Imaging. 2021 May;102(5):297-303. doi: 10.1016/j.diii.2020.11.012. Epub 2020 Dec 8.
7
Higher resolution cine imaging with compressed sensing for accelerated clinical left ventricular evaluation.
J Magn Reson Imaging. 2017 Jun;45(6):1693-1699. doi: 10.1002/jmri.25525. Epub 2016 Oct 26.
8
Comparison between compressed sensing and segmented cine cardiac magnetic resonance: a meta-analysis.
BMC Cardiovasc Disord. 2023 Sep 21;23(1):473. doi: 10.1186/s12872-023-03426-1.
9
Compressed sensing single-breath-hold CMR for fast quantification of LV function, volumes, and mass.
JACC Cardiovasc Imaging. 2014 Sep;7(9):882-92. doi: 10.1016/j.jcmg.2014.04.016. Epub 2014 Aug 13.
10
Compressed sensing cine imaging with high spatial or high temporal resolution for analysis of left ventricular function.
J Magn Reson Imaging. 2016 Aug;44(2):366-74. doi: 10.1002/jmri.25162. Epub 2016 Jan 20.

本文引用的文献

1
Single breath-hold compressed sensing real-time cine imaging to assess left ventricular motion in myocardial infarction.
Diagn Interv Imaging. 2021 May;102(5):297-303. doi: 10.1016/j.diii.2020.11.012. Epub 2020 Dec 8.
2
Compressed sensing real-time cine imaging for assessment of ventricular function, volumes and mass in clinical practice.
Eur Radiol. 2020 Jan;30(1):609-619. doi: 10.1007/s00330-019-06341-2. Epub 2019 Aug 1.
3
Role of Cardiac Magnetic Resonance in the Diagnosis and Prognosis of Nonischemic Cardiomyopathy.
JACC Cardiovasc Imaging. 2017 Oct;10(10 Pt A):1180-1193. doi: 10.1016/j.jcmg.2017.08.005.
4
Single-breath-hold 3-D CINE imaging of the left ventricle using Cartesian sampling.
MAGMA. 2018 Feb;31(1):19-31. doi: 10.1007/s10334-017-0624-1. Epub 2017 May 26.
5
Assessment of Left Ventricular Function and Mass on Free-Breathing Compressed Sensing Real-Time Cine Imaging.
Circ J. 2017 Sep 25;81(10):1463-1468. doi: 10.1253/circj.CJ-17-0123. Epub 2017 May 18.
6
Real-time SPARSE-SENSE cine MR imaging in atrial fibrillation: a feasibility study.
Acta Radiol. 2017 Aug;58(8):922-928. doi: 10.1177/0284185116681037. Epub 2016 Jan 1.
8
Higher resolution cine imaging with compressed sensing for accelerated clinical left ventricular evaluation.
J Magn Reson Imaging. 2017 Jun;45(6):1693-1699. doi: 10.1002/jmri.25525. Epub 2016 Oct 26.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验