Deep-learning synthesized pseudo-CT for MR high-resolution pediatric cranial bone imaging (MR-HiPCB).
Deep-learning synthesized pseudo-CT for MR high-resolution pediatric cranial bone imaging (MR-HiPCB).
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DOI：
10.1002/mrm.29356
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发表时间：
2022-11
影响因子：
3.3
通讯作者：
An, Hongyu
中科院分区：
文献类型：
--
作者：
Boroojeni, Parna Eshraghi;Chen, Yasheng;Commean, Paul K.;Eldeniz, Cihat;Skolnick, Gary B.;Merrill, Corinne;Patel, Kamlesh B.;An, Hongyu
CT通常用于检测头部外伤或颅缝早闭患儿的颅骨异常。本研究旨在开发一种深度学习方法来合成用于MRI高分辨率儿科颅骨成像（MR-HiPCB）的伪CT（pCT）图像，以消除CT的电离辐射。从44名儿科参与者中获得3D黄金角星状堆栈MRI。使用从整个头部（NetWH）或骨、骨折/缝线或空气（NetBA）附近随机选择的成对MR和CT补片训练两个基于补片的ResUNet，以合成pCT。第三个ResUNet经过训练，仅使用MRI生成二进制大脑掩模。将来自脑区域中的NetWH（pCTNetWH）和非脑区域中的NetBA（pCTNetBA）的pCT图像组合以生成pCTCom。还采用了使用反转MR图像（iMR）的手动处理方法进行比较。在全头范围内，pCTCom（68.01±14.83 HU）的平均绝对误差（MAE）显著小于pCTNetWH（82.58±16.98 HU，P<0.0001）和pCTNetBA（91.32±17.2 HU，P<0.0001）。在颅骨内，pCTCom的MAE（227.92±46.88 HU）显著低于pCTNetWH（287.85±59.46 HU，P<0.0001），但与pCTNetBA（230.20±46.17 HU）相似。pCTCom（0.90±0.02）中节段骨的骰子相似系数（DSC）明显高于pCTNetWH（0.86±0.04，P<0.0001）、pCTNetBA（0.88±0.03，P<0.0001）和iMR（0.71±0.09，P<0.0001）。来自pCTCom的DSC显示出比iMR显著降低的年龄依赖性。此外，与CT相比，pCTCom提供了极佳的缝线和骨折可见性。MR-HiPCB可促进儿科患者无辐射MR颅骨成像方法的临床转化。
CT is routinely used to detect cranial abnormalities in pediatric patients with head trauma or craniosynostosis. This study aimed to develop a deep learning method to synthesize pseudo-CT (pCT) images for MRI High-resolution Pediatric Cranial Bone imaging (MR-HiPCB) to eliminating ionizing radiation from CT. 3D Golden-Angle stack-of-stars MRI were obtained from 44 pediatric participants. Two patch-based ResUNets were trained using paired MR and CT patches randomly selected from the whole head (NetWH) or in the vicinity of bone, fractures/sutures, or air (NetBA) to synthesize pCT. A third ResUNet was trained to generate a binary brain mask using only MRI. The pCT images from NetWH (pCTNetWH) in the brain area and NetBA (pCTNetBA) in the non-brain area were combined to generate pCTCom. A manual processing method using inverted MR images (iMR) was also employed for comparison. pCTCom (68.01±14.83 HU) had significantly smaller mean absolute errors (MAE) than pCTNetWH (82.58±16.98 HU, P<0.0001) and pCTNetBA (91.32±17.2 HU, P<0.0001) in the whole head. Within cranial bone, the MAE of pCTCom (227.92±46.88 HU) was significantly lower than pCTNetWH (287.85±59.46 HU, P<0.0001) but similar to pCTNetBA (230.20±46.17 HU). Dice Similarity Coefficient (DSC) of the segmented bone was significantly higher in pCTCom (0.90±0.02) than in pCTNetWH (0.86±0.04, P<0.0001), pCTNetBA (0.88±0.03, P<0.0001), and iMR (0.71±0.09, P<0.0001). DSC from pCTCom demonstrated significantly reduced age dependence than iMR. Furthermore, pCTCom provided excellent suture and fracture visibility comparable to CT. MR-HiPCB may facilitate the clinical translation of a radiation-free MR cranial bone imaging method for pediatric patients.
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