Purpose

To generate and evaluate fat-saturated T1-weighted (FST1W) image synthesis of breast magnetic resonance imaging (MRI) using pix2pix.

Materials and methods

We collected pairs of noncontrast-enhanced T1-weighted an FST1W images of breast MRI for training data (2112 pairs from 15 patients), validation data (428 pairs from three patients), and test data (90 pairs from 30 patients). From the original images, 90 synthetic images were generated with 50, 100, and 200 epochs using pix2pix. Two breast radiologists evaluated the synthetic images (from 1 = excellent to 5 = very poor) for quality of fat suppression, anatomic structures, artifacts, etc. The average score was analyzed for each epoch and breast density.

Results

The synthetic images were scored from 2.95 to 3.60; the best was reduction in artifacts when using 100 epochs. The average overall quality scores for fat suppression were 3.63 at 50 epochs, 3.24 at 100 epochs, and 3.12 at 200 epochs. In the analysis for breast density, each score was significantly better for nondense breasts than for dense breasts; the average score was 2.88–3.18 for nondense breasts and 3.03–3.42 for dense breasts (P = 0.000–0.042).

Conclusion

Pix2pix had the potential to generate FST1W synthesis for breast MRI.

中文翻译：

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使用pix2pix对乳房MRI进行新的脂肪抑制的可行性。

目的

为了生成和评估使用pix2pix的乳房磁共振成像（MRI）的脂肪饱和T1加权（FST1W）图像合成。

材料和方法

我们收集了成对的无对比度增强T1加权乳腺MRI的FST1W图像，以获取训练数据（来自15位患者的2112对），验证数据（来自三位患者的428对）和测试数据（来自30位患者的90对）。从原始图像中，使用pix2pix以50、100和200个纪元生成了90个合成图像。两名乳房放射科医生评估了合成图像（从1 =优秀到5 =非常差）的脂肪抑制，解剖结构，伪影等质量。分析了每个时期和乳房密度的平均评分。

结果

合成图像的评分为2.95至3.60；最好的方法是减少使用100个纪元时的伪影。抑制脂肪的平均总体质量得分在50个时代为3.63，在100个时代为3.24，在200个时代为3.12。在对乳房密度的分析中，对于不致密的乳房，每个分数均明显好于致密的乳房。非致密乳房的平均得分为2.88–3.18，致密乳房的平均得分为3.03–3.42（P  = 0.000–0.042）。

结论

Pix2pix具有产生用于乳腺MRI的FST1W合成的潜力。