Automated template-based brain localization and extraction for fetal brain MRI reconstruction
نویسندگان
چکیده
منابع مشابه
Automated template-based brain localization and extraction for fetal brain MRI reconstruction
Most fetal brain MRI reconstruction algorithms rely only on brain tissue-relevant voxels of low-resolution (LR) images to enhance the quality of inter-slice motion correction and image reconstruction. Consequently the fetal brain needs to be localized and extracted as a first step, which is usually a laborious and time consuming manual or semi-automatic task. We have proposed in this work to us...
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Abstract. Fetal magnetic resonance imaging (MRI) is a rapidly growing field of research for its potential to study brain development in utero. However, in contrast to adult studies automatic brain extraction and orientation is not yet solved, but remains challenging in wide field of view raw fetal MRI volumes. This has limited research to small scale studies. This paper presents an automatic fe...
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Current fetal MRI practice involves fast 2D slice acquisitions. The reconstruction of volumetric fetal brain MRI from these acquisitions and its post-processing is greatly desired for studying in-utero brain development. The previously developed reconstruction techniques rely on iterations of slice-tovolume registration and scattered data interpolation. In contrast, the technique introduced her...
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Introduction: Fetal magnetic resonance imaging (MRI) is able to increase the detection of abnormalities within the fetal brain and to improve their characterisation when compared with antenatal ultrasound. The most frequent indications for referral for MRI include ventriculomegaly, abnormal appearance to the cerebellar vermis or suspected commissural agenesis. Fetal imaging provides information...
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Fetal MRI is emerging as an effective, non-invasive tool in prenatal diagnosis and pregnancy follow-up. However, there is a significant variability of the position and orientation of the fetus in the MR images. This makes these images more difficult to analyze and interpret compared to standard adult MR imaging, which standardized anatomical imaging aligned planes. We address this issue by auto...
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ژورنال
عنوان ژورنال: NeuroImage
سال: 2017
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2017.04.004