MRI estimation of contrast agent concentration in tissue using a neural network approach
MRI estimation of contrast agent concentration in tissue using a neural network approach
复制标题
DOI：
10.1002/mrm.21332
复制
发表时间：
2007-08-01
影响因子：
3.3
通讯作者：
Ewing, James R.
中科院分区：
文献类型：
--
作者：
Bagher-Ebadian, Hassan;Nagaraja, Tavarekere N.;Ewing, James R.
利用MRI T，by Multiple Readout Pulses(TOMROP)图像集，训练自适应神经网络(ANN)以直接估计组织中造影剂(CA)--Gd-BSA的浓度。在9只植入9L脑瘤的大鼠中，MRI采集TOMROP反转-恢复数据，然后使用放射性碘化血清白蛋白(RISA)进行定量放射自显影(OAR)。用桨放射自显影作为神经网络的训练集。将增强前和增强后25min的TOMROP图像集以与24幅反转-恢复图像相关的物理特征集的形式显示给ANN，并以注射RISA后30min的OAR放射自显影作为网络的训练标准。经过训练和优化，人工神经网络生成了Gd-BSA浓度[g-摩尔/升]的地图。人工神经网络预测的注射后25min的CA浓度与相应的放射自显影测量的CA浓度有很好的相关性(r=0.82，P&0.0001)。
Using an MRI T, by multiple readout pulses (TOMROP) image set, an adaptive neural network (ANN) was trained to directly estimate the concentration of a contrast agent (CA), gadolinium-bovine serum albumin (Gd-BSA), in tissue. In nine rats implanted with a 9L cerebral tumor, MRI acquisition of TOMROP inversion-recovery data was followed by quantitative autoradiography (OAR) using radioiodinated serum albumin (RISA). OAR autoradiograms were used as a training set for the ANN. Precontrast and 25 min postcontrast TOMROP image sets were shown to the ANN in the form of a physical feature set related to 24 inversion-recovery images; OAR autoradiograms at 30 min after injection of RISA were taken as the training standard for the network. After training and optimization, the ANN produced a map of Gd-BSA concentration [g-moles/liter]. The prediction by the ANN of CA concentration at 25 min after injection was well correlated (r = 0.82, P < 0.0001) with the corresponding autoradiogram's measure of CA concentration.