Fully automatic quantification of fibroglandular tissue and background parenchymal enhancement with accurate implementation for axial and sagittal breast MRI protocols.
Fully automatic quantification of fibroglandular tissue and background parenchymal enhancement with accurate implementation for axial and sagittal breast MRI protocols.
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DOI：
10.1002/mp.14581
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发表时间：
2021-01
期刊：
影响因子：
3.8
通讯作者：
Kontos D
中科院分区：
文献类型：
--
作者：
Wei D;Jahani N;Cohen E;Weinstein S;Hsieh MK;Pantalone L;Kontos D
提出并评价一种用于乳腺MRI中纤维腺体组织（FGT）和背景实质增强（BPE）定量的全自动技术。我们提出了一种全自动的方法，在预处理后，FGT被分割在T1加权，非脂肪饱和的MRI。通过对FGT和鲁棒纹理描述符强度变化的解剖驱动先验概率进行验证，我们的方法有效地解决了主要的图像处理挑战，包括个体之间乳房解剖结构和FGT外观的广泛变化。然后，我们的框架将这种分割传播到动态对比度增强（DCE）-MRI，以量化分割的FGT区域内的BPE。来自40名未受癌症影响的女性的轴向和矢状面图像数据被用来评估我们提出的方法与手动注释的参考标准。在自动和手动FGT分割之间观察到高空间对应性（平均Dice相似系数81.14%）。FGT和BPE定量（表示为FGT%和BPE%）表明自动和手动分割之间具有高度相关性（Pearson's r = 0.99）。此外，使用自动和手动分割量化的FGT%和BPE%之间的差异很低（FGT%的平均差异为−0.66±2.91%，BPE%的平均差异为−0.17±1.03%）。当与定性临床BI-RADS评分相关时，FGT%的相关系数仍然很高（斯皮尔曼的ρ = 0.92），而BPE的相关系数较低（ρ = 0.65）。我们提出的方法也明显优于以前验证的方法，矢状乳腺MRI。我们的方法证明了在矢状和轴向乳腺MRI中FGT和BPE的准确全自动量化。我们的研究结果还表明了BPE评估的复杂性，表明分割和临床评级之间的相关性相对较低。
To propose and evaluate a fully automated technique for quantification of fibroglandular tissue (FGT) and background parenchymal enhancement (BPE) in breast MRI. We propose a fully-automated method, where after preprocessing, FGT is segmented in T1-weighted, nonfat-saturated MRI. Incorporating an anatomy-driven prior probability for FGT and robust texture descriptors against intensity variations, our method effectively addresses major image processing challenges, including wide variations in breast anatomy and FGT appearance among individuals. Our framework then propagates this segmentation to dynamic contrast enhanced (DCE)-MRI to quantify BPE within the segmented FGT regions. Axial and sagittal image data from 40 cancer-unaffected women were used to evaluate our proposed method versus a manually-annotated reference standard. High spatial correspondence was observed between the automatic and manual FGT segmentation (mean Dice similarity coefficient 81.14%). The FGT and BPE quantifications (denoted FGT% and BPE%) indicated high correlation (Pearson’s r = 0.99 for both) between automatic and manual segmentations. Furthermore, the differences between the FGT% and BPE% quantified using automatic and manual segmentations were low (mean differences: −0.66±2.91% for FGT% and −0.17±1.03% for BPE%). When correlated with qualitative clinical BI-RADS ratings, the correlation coefficient for FGT% was still high (Spearman’s ρ = 0.92), whereas that for BPE was lower (ρ = 0.65). Our proposed approach also performed significantly better than a previously validated method for sagittal breast MRI. Our method demonstrated accurate fully-automated quantification of FGT and BPE in both sagittal and axial breast MRI. Our results also suggested the complexity of BPE assessment, demonstrating relatively low correlation between segmentation and clinical rating.
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DOI：
10.1158/1055-9965.epi-07-2547
发表时间：
2008-09
期刊：
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
影响因子：
--
作者：
Khazen M;Warren RM;Boggis CR;Bryant EC;Reed S;Warsi I;Pointon LJ;Kwan-Lim GE;Thompson D;Eeles R;Easton D;Evans DG;Leach MO;Collaborators in the United Kingdom Medical Research Council Magnetic Resonance Imaging in Breast Screening (MARIBS) Study
通讯作者：
Collaborators in the United Kingdom Medical Research Council Magnetic Resonance Imaging in Breast Screening (MARIBS) Study
影响因子：
4.4
作者：
Ha, Richard;Chang, Peter;Jambawalikar, Sachin
通讯作者：
Jambawalikar, Sachin
影响因子：
19.7
作者：
King, Valencia;Brooks, Jennifer D.;Morris, Elizabeth A.
通讯作者：
Morris, Elizabeth A.
影响因子：
2.4
作者：
Coltman, Celeste E.;Steele, Julie R.;McGhee, Deirdre E.
通讯作者：
McGhee, Deirdre E.
影响因子：
6
作者：
Abbasi, Solmaz;Tajeripour, Farshad
通讯作者：
Tajeripour, Farshad