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Fetal MRI Artifacts: Semi-Supervised Generative Adversarial Neural Network for Motion Artifacts Reducing in Fetal Magnetic Resonance Images

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Journal of Computer and Communications 2024年第6期12卷 210-225页

作者： Ítalo Messias Félix Santos Gilson Antonio Giraldi heron werner junior Bruno Richard Schulze National Laboratory for Scientific Computing Rio de Janeiro Brazil Biodesign Laboratory Dasa/PUC-Rio Rio de Janeiro Brazil

This study addresses challenges in fetal magnetic resonance imaging (MRI) related to motion artifacts, maternal respiration, and hardware limitations. To enhance MRI quality, we employ deep learning techniques, specifically utilizing Cycle GAN. Synthetic pairs of images, simulating artifacts in fetal MRI, are generated to train the model. Our primary contribution is the use of Cycle GAN for fetal MRI restoration, augmented by artificially corrupted data. We compare three approaches (supervised Cycle GAN, Pix2Pix, and Mobile Unet) for artifact removal. Experimental results demonstrate that the proposed supervised Cycle GAN effectively removes artifacts while preserving image details, as validated through Structural Similarity Index Measure (SSIM) and normalized Mean Absolute Error (MAE). The method proves comparable to alternatives but avoids the generation of spurious regions, which is crucial for medical accuracy.

关键词： Fetal MRI Artifacts Removal Deep Learning Image Processing Generative Adversarial Networks

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Prenatal Diagnosis of Proximal Femoral Focal Deficiency Combining Ultrasound and Computer Tomography

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Advances in Computed Tomography 2013年第3期2卷 102-106页

作者： Erica Stein Ciasca Fernando Maia Peixoto-Filho Pedro Daltro heron werner Adriana Viana Renato Augusto Moreira de Sá Clínica de Diagnóstico Por Imagem-CDPI Rio de Janeiro Brazil Department of Obstetrics-Instituto Fernandes Figueira-IFF/FIOCRUZ Rio de Janeiro Brazil Instituto Fernandes Figueira-IFF/FIOCRUZ Rio de Janeiro Brazil Universidade Federal Fluminense-NEASMI/PGCM Niterói Brazil

Four cases of proximal femoral focal deficiency (PFFD) in an otherwise healthy infant are described. Antenatal diagnosis was made at 27, 23, 23 and 18 weeks of gestation by routine ultrasound (US) examination. Computer Tomography (CT) was performed after 30 weeks of gestation and confirmed the images obtained by US. The diagnosis was confirmed after delivery. These cases illustrate the importance of combining US and CT to improve accuracy of prenatal diagnosis of skeletal disorders.

关键词： Prenatal Diagnosis Ultrasonography Imaging Three-Dimensional Tomography X-Ray Computed Limb Deformities Congenital

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