Retrospective respiratory triggering renal perfusion MRI

医学 核医学 肾功能 灌注 呼吸系统 肾血流 磁共振成像 内科学 心脏病学 放射科
作者
Ulrike Attenberger,Steven Sourbron,Henrik J. Michaely,Maximilian F. Reiser,Stefan O. Schoenberg
出处
期刊:Acta Radiologica [SAGE Publishing]
卷期号:51 (10): 1163-1171 被引量:17
标识
DOI:10.3109/02841851.2010.519717
摘要

artifacts of respiratory motion are one of the well-known limitations of dynamic contrast-enhanced MRI (DCE-MRI) of the kidney.to propose and evaluate a retrospective triggering approach to minimize the effect of respiratory motion in DCE-MRI of the kidney.nine consecutive patients underwent renal perfusion measurements. Data were acquired with a 2D saturation-recovery TurboFLASH sequence. In order to test the dependence of the results on size and location of the manually drawn triggering regions of interest (ROIs), three widely differing triggering regions were defined by one observer. Mean value, standard deviation, and variability of the renal function parameters plasma flow (F(P)), plasma volume (V(P)), plasma transit time (T(P)), tubular flow (F(T)), tubular volume (V(T)), and tubular transit time (T(T)) were calculated on a per-patient basis.the results show that triggered data have adequate temporal resolution to measure blood flow. The overall average values of the function parameters were: 152.77 (F(P)), 15.18 (V(P)), 6,73 (T(P)), 18.50 (F(T)), 35.36 (V(T)), and 117.67 (T(T)). The variability (calculated in % SD from the mean value) for three different respiratory triggering regions defined on a per-patient basis was between 0.81% and 9.87% for F(P), 1.45% and 8.19% for V(P), 0% and 9.63% for T(P), 2.15% and 12.23% for T(F), 0.8% and 17.28% for V(T), and 1.97% and 12.87% for T(T).triggering reduces the oscillations in the signal curves and produces sharper parametric maps. In contrast to numerically challenging approaches like registration and segmentation it can be applied in clinical routine, but a (semi)-automatic approach to select the triggering ROI is desirable to reduce user dependence.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
深情安青应助gaoyunfeng采纳,获得10
1秒前
Fuzihe完成签到,获得积分10
1秒前
生动惊蛰发布了新的文献求助10
1秒前
小二郎应助彩色山柏采纳,获得10
1秒前
2秒前
2秒前
3秒前
3秒前
牛诗悦完成签到,获得积分10
3秒前
Ava应助伤心大蟑螂采纳,获得10
3秒前
4秒前
拼搏半梦完成签到,获得积分10
5秒前
慕青应助嗯哼采纳,获得10
6秒前
ZGY发布了新的文献求助10
6秒前
鲤鱼安青发布了新的文献求助10
6秒前
徐文芳发布了新的文献求助10
7秒前
7秒前
haha_1057发布了新的文献求助10
7秒前
大头完成签到,获得积分10
8秒前
8秒前
风趣黑裤完成签到,获得积分10
9秒前
heheheli发布了新的文献求助10
9秒前
艾利克斯发布了新的文献求助10
9秒前
橙子发布了新的文献求助10
10秒前
温暖乐枫发布了新的文献求助10
10秒前
鑫鑫向荣完成签到,获得积分10
11秒前
12秒前
仙女的小可爱完成签到 ,获得积分10
12秒前
科研通AI6.1应助Jie采纳,获得10
12秒前
12秒前
852应助优秀纸鹤采纳,获得30
12秒前
丰富无色完成签到,获得积分10
13秒前
平淡的天宇完成签到,获得积分10
13秒前
huangxuliang完成签到 ,获得积分10
14秒前
14秒前
Akim应助ADChem_JH采纳,获得10
14秒前
14秒前
14秒前
15秒前
petrichor完成签到 ,获得积分10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Developing Genetic Editing Tools for Lysobacter 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6524567
求助须知:如何正确求助?哪些是违规求助? 8317599
关于积分的说明 17799836
捐赠科研通 5626215
什么是DOI,文献DOI怎么找? 2928637
邀请新用户注册赠送积分活动 1905328
关于科研通互助平台的介绍 1765284