• The Journal of Korean Academy of Sensory Integration
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• v.11 no.2
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• pp.27-40
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• 2013

Objective : The aim of this study was to investigate how many studies for sensory integration intervention in Korea reflect the principle of Ayers' sensory integration through a systemic review. Methods : The systemic review was executes using RISS, NDSL, KISS, DBpia. The key words for search were 'sensory integration therapy', 'sensory integration intervention', 'sensory integration program', 'sensory integration training' to search the articles, published in 2000-2012. To analyze ASI fidelity of 49 studies included in the present study, the numbers of items were calculated if the study describe the ASI principle. Results : The IV was the most levels of evidence, and the subjects for the studies were mental intellectual disability (15), developmental disability (14) and autism spectrum disorders (13) etc. It was described the most that presenting sensory opportunities (43), challenging postural, ocular, oral and/or bilateral motor control (37) of ASI fidelity. The studies using more than 4 ASI principle were 26.5%(13), and 7 studies using 8 or more than 8 were studied in OT. Conclusion : In OT, 34 of 49 studies performed, and they used several principles of ASI. To have unity for sensory integration principle and to improve therapy professionalism the study using various data and systematic review study will be needed in the future.

• Journal of the Korean Society of Radiology
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• v.84 no.1
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• pp.240-252
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• 2023

Purpose To assess the effect of deep learning image reconstruction (DLIR) for head CT in pediatric patients. Materials and Methods We collected 126 pediatric head CT images, which were reconstructed using filtered back projection, iterative reconstruction using adaptive statistical iterative reconstruction (ASiR)-V, and all three levels of DLIR (TrueFidelity; GE Healthcare). Each image set group was divided into four subgroups according to the patients' ages. Clinical and dose-related data were reviewed. Quantitative parameters, including the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR), and qualitative parameters, including noise, gray matter-white matter (GM-WM) differentiation, sharpness, artifact, acceptability, and unfamiliar texture change were evaluated and compared. Results The SNR and CNR of each level in each age group increased among strength levels of DLIR. High-level DLIR showed a significantly improved SNR and CNR (p < 0.05). Sequential reduction of noise, improvement of GM-WM differentiation, and improvement of sharpness was noted among strength levels of DLIR. Those of high-level DLIR showed a similar value as that with ASiR-V. Artifact and acceptability did not show a significant difference among the adapted levels of DLIR. Conclusion Adaptation of high-level DLIR for the pediatric head CT can significantly reduce image noise. Modification is needed while processing artifacts.

• Korean Journal of Radiology
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• v.23 no.7
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• pp.752-762
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• 2022

Objective: To compare a deep learning-based reconstruction (DLR) algorithm for pediatric abdominopelvic computed tomography (CT) with filtered back projection (FBP) and iterative reconstruction (IR) algorithms. Materials and Methods: Post-contrast abdominopelvic CT scans obtained from 120 pediatric patients (mean age ± standard deviation, 8.7 ± 5.2 years; 60 males) between May 2020 and October 2020 were evaluated in this retrospective study. Images were reconstructed using FBP, a hybrid IR algorithm (ASiR-V) with blending factors of 50% and 100% (AV50 and AV100, respectively), and a DLR algorithm (TrueFidelity) with three strength levels (low, medium, and high). Noise power spectrum (NPS) and edge rise distance (ERD) were used to evaluate noise characteristics and spatial resolution, respectively. Image noise, edge definition, overall image quality, lesion detectability and conspicuity, and artifacts were qualitatively scored by two pediatric radiologists, and the scores of the two reviewers were averaged. A repeated-measures analysis of variance followed by the Bonferroni post-hoc test was used to compare NPS and ERD among the six reconstruction methods. The Friedman rank sum test followed by the Nemenyi-Wilcoxon-Wilcox all-pairs test was used to compare the results of the qualitative visual analysis among the six reconstruction methods. Results: The NPS noise magnitude of AV100 was significantly lower than that of the DLR, whereas the NPS peak of AV100 was significantly higher than that of the high- and medium-strength DLR (p < 0.001). The NPS average spatial frequencies were higher for DLR than for ASiR-V (p < 0.001). ERD was shorter with DLR than with ASiR-V and FBP (p < 0.001). Qualitative visual analysis revealed better overall image quality with high-strength DLR than with ASiR-V (p < 0.001). Conclusion: For pediatric abdominopelvic CT, the DLR algorithm may provide improved noise characteristics and better spatial resolution than the hybrid IR algorithm.

• The Journal of Korean Academy of Sensory Integration
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• v.9 no.1
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• pp.11-20
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• 2011

Purpose : In this study, we tried to know that how the occupational therapists applied the core principles of Ayres's sensory integration(ASI) intervention for clients by using the method of self-assessment. Methods : The study period was from May 2010 to June 2010. The subjects were therapists who use a sensory integration intervention. We letted them to do self-assessment about degree of performing the treatment according to the core principles of ASI by using a questionnaire. Total 66 questionnaires were collected. SPSS for Windows version 15.0 was statistically analyzed. Results : There wasn't anybody without considering the 10 core principles of ASI interventions for children. Therapist's answer(more than 90%) was sometimes, often, always except for the guide self-organization in the 10 core principles of ASI intervention. On the basis of total average score of raw score of 10 core principles of ASI intervention, provide sensory opportunities, provide just-right challenges, collaborate on activity choice, maximize child's success, ensure physical safety, and foster therapeutic alliance showed more than 50 points(T value). The guide self-organization, support optimal arousal, create play context, and arrange room to engage child showed less than 50 points T value. Conclusion : The most effective interventions for sensory integration is the treatment based on the core principles of ASI intervention. According to core principle of ASI intervention, checking the quality of care and increasing the quality of care is needed through performing self-assessment.