scholarly journals Learning-based deformable image registration for infant MR images in the first year of life

2017 ◽  
Vol 44 (1) ◽  
pp. 158-170 ◽  
Author(s):  
Shunbo Hu ◽  
Lifang Wei ◽  
Yaozong Gao ◽  
Yanrong Guo ◽  
Guorong Wu ◽  
...  
Keyword(s):  
Image Registration ◽  
Deformable Image Registration ◽  
First Year ◽  
Mr Images ◽  
First Year Of Life

Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life

2016 ◽  
pp. 36-44 ◽  
Author(s):  
Lifang Wei ◽  
Shunbo Hu ◽  
Yaozong Gao ◽  
Xiaohuan Cao ◽  
Guorong Wu ◽  
...  
Keyword(s):  
Image Registration ◽  
First Year ◽  
Shape Evolution ◽  
First Year Of Life

scholarly journals Longitudinal Prediction of Infant MR Images With Multi-Contrast Perceptual Adversarial Learning

2021 ◽  
Vol 15 ◽  
Author(s):  
Liying Peng ◽  
Lanfen Lin ◽  
Yusen Lin ◽  
Yen-wei Chen ◽  
Zhanhao Mo ◽  
...  
Keyword(s):  
Missing Data ◽  
Neural Development ◽  
Brain Size ◽  
Generative Adversarial Networks ◽  
First Year ◽  
Data Imputation ◽  
Mr Images ◽  
Adversarial Learning ◽  
Infant Brain ◽  
First Year Of Life

The infant brain undergoes a remarkable period of neural development that is crucial for the development of cognitive and behavioral capacities (Hasegawa et al., 2018). Longitudinal magnetic resonance imaging (MRI) is able to characterize the developmental trajectories and is critical in neuroimaging studies of early brain development. However, missing data at different time points is an unavoidable occurrence in longitudinal studies owing to participant attrition and scan failure. Compared to dropping incomplete data, data imputation is considered a better solution to address such missing data in order to preserve all available samples. In this paper, we adapt generative adversarial networks (GAN) to a new application: longitudinal image prediction of structural MRI in the first year of life. In contrast to existing medical image-to-image translation applications of GANs, where inputs and outputs share a very close anatomical structure, our task is more challenging as brain size, shape and tissue contrast vary significantly between the input data and the predicted data. Several improvements over existing GAN approaches are proposed to address these challenges in our task. To enhance the realism, crispness, and accuracy of the predicted images, we incorporate both a traditional voxel-wise reconstruction loss as well as a perceptual loss term into the adversarial learning scheme. As the differing contrast changes in T1w and T2w MR images in the first year of life, we incorporate multi-contrast images leading to our proposed 3D multi-contrast perceptual adversarial network (MPGAN). Extensive evaluations are performed to assess the qualityand fidelity of the predicted images, including qualitative and quantitative assessments of the image appearance, as well as quantitative assessment on two segmentation tasks. Our experimental results show that our MPGAN is an effective solution for longitudinal MR image data imputation in the infant brain. We further apply our predicted/imputed images to two practical tasks, a regression task and a classification task, in order to highlight the enhanced task-related performance following image imputation. The results show that the model performance in both tasks is improved by including the additional imputed data, demonstrating the usability of the predicted images generated from our approach.

The Development of Swallowing Respiratory Coordination

2009 ◽  
Vol 18 (1) ◽  
pp. 19-24
Author(s):  
Maggie-Lee Huckabee
Keyword(s):  
Cortical Activation ◽  
First Year ◽  
Healthy Children ◽  
Nasal Airflow ◽  
Single Session ◽  
Primary Finding ◽  
Patterns Of Behavior ◽  
Cortical Modulation ◽  
First Year Of Life ◽  
Swallowing Apnea

Abstract Research exists that evaluates the mechanics of swallowing respiratory coordination in healthy children and adults as well and individuals with swallowing impairment. The research program summarized in this article represents a systematic examination of swallowing respiratory coordination across the lifespan as a means of behaviorally investigating mechanisms of cortical modulation. Using time-locked recordings of submental surface electromyography, nasal airflow, and thyroid acoustics, three conditions of swallowing were evaluated in 20 adults in a single session and 10 infants in 10 sessions across the first year of life. The three swallowing conditions were selected to represent a continuum of volitional through nonvolitional swallowing control on the basis of a decreasing level of cortical activation. Our primary finding is that, across the lifespan, brainstem control strongly dictates the duration of swallowing apnea and is heavily involved in organizing the integration of swallowing and respiration, even in very early infancy. However, there is evidence that cortical modulation increases across the first 12 months of life to approximate more adult-like patterns of behavior. This modulation influences primarily conditions of volitional swallowing; sleep and naïve swallows appear to not be easily adapted by cortical regulation. Thus, it is attention, not arousal that engages cortical mechanisms.

Gastric electrical activity in normal neonates during the first year of life. Effect of lactation with breast milk and formula

2001 ◽  
Vol 120 (5) ◽  
pp. A209-A209
Author(s):  
G RIEZZO ◽  
R CASTELLANA ◽  
T DEBELLIS ◽  
F LAFORGIA ◽  
F INDRIO ◽  
...  
Keyword(s):  
Breast Milk ◽  
Electrical Activity ◽  
First Year ◽  
Gastric Electrical Activity ◽  
First Year Of Life ◽  
Normal Neonates

Feeding and Function Pleasure in the First Year of Life

2013 ◽  
Author(s):  
Sylvia Brody ◽  
Sidney Axelrad
Keyword(s):  
First Year ◽  
And Function ◽  
First Year Of Life

Predictors of family discipline strategies with babies in their first year of life

2013 ◽  
Author(s):  
Julie Lawrence ◽  
Andrew Gray ◽  
Rachael Taylor ◽  
Barry Taylor
Keyword(s):  
First Year ◽  
First Year Of Life ◽  
Family Discipline
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