Objective: To present the comprehensive methodology for generating personalized three-dimensional (3D) printed uterine models from 3D ultrasound (US) volumes in individuals diagnosed with Müllerian anomalies and discuss potential applications in the field of reproductive endocrinology and infertility.
Design: Pilot study.
Setting: Single large university-affiliated teaching hospital.
With the success of U-Net or its variants in automatic medical image segmentation, building a fully convolutional network (FCN) based on an encoder-decoder structure has become an effective end-to-end learning approach. However, the intrinsic property of FCNs is that as the encoder deepens, higher-level features are learned, and the receptive field size of the network increases, which results in unsatisfactory performance for detecting low-level small/thin structures such as atrial walls and small arteries. To address this issue, we propose to keep the different encoding layer features at their original sizes to constrain the receptive field from increasing as the network goes deeper.
View Article and Find Full Text PDFBackground: The lifelong care of patients with congenital heart disease (CHD) typically begins at a young age, giving paediatric cardiologists a unique perspective on the mental health of their patients. Our aim was to describe and predict reported psychological problems among adolescents with CHD.
Methods: A retrospective review was performed on patients aged 12-17 years who presented to the congenital cardiology clinic during a 1-year timeframe.
Percutaneous interventions are gaining rapid acceptance in cardiology and revolutionizing the treatment of structural heart disease (SHD). As new percutaneous procedures of SHD are being developed, their associated complexity and anatomical variability demand a high-resolution special understanding for intraprocedural image guidance. During the last decade, three-dimensional (3D) transesophageal echocardiography (TEE) has become one of the most accessed imaging methods for structural interventions.
View Article and Find Full Text PDFBackground: Prenatal ultrasonography allows for timely identification of fetal abnormalities that can have an effect on securing the neonatal airway at delivery. We illustrate the role of antenatal three-dimensional printing in cases with fetal airway obstruction.
Case: We present two cases that highlight the utility of a three-dimensional printing technique to aid in ex utero intrapartum treatment procedures during cesarean delivery.
Beginning with the discovery of X-rays to the development of three-dimensional (3D) imaging, improvements in acquisition, post-processing, and visualization have provided clinicians with detailed information for increasingly accurate medical diagnosis and clinical management. This paper highlights advances in imaging technologies for congenital heart disease (CHD), medical adoption, and future developments required to improve pre-procedural and intra-procedural guidance.
View Article and Find Full Text PDFSurgical management of complex congenital heart disease (CHD) is challenging. Three-dimensional (3D) printing can improve multidisciplinary team decision-making, patient and family understanding, and education of medical professionals. We describe 3D printing for surgical management of five patients with complex CHD.
View Article and Find Full Text PDFThree-dimensional (3D) printing is an emerging technology aiding diagnostics, education, and interventional, and surgical planning in congenital heart disease (CHD). Three-dimensional printing has been derived from computed tomography, cardiac magnetic resonance, and 3D echocardiography. However, individually the imaging modalities may not provide adequate visualization of complex CHD.
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