An image processing algorithm to aid diagnosis of mesial temporal sclerosis in children: a case-control study

Strnad, Benjamin S.; Orlowski, Hilary L.P.; Parsons, Matthew S.; Salter, Amber; Dahiya, Sonika; Sharma, Aseem

doi:10.1007/s00247-019-04518-x

Cited by 5 publications

(3 citation statements)

References 29 publications

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“…The image-processing algorithm used by us has been used to improve conspicuity of normal structures or in improving visual separation of normal and abnormal tissues. 27,[30][31][32][33][34][35] The algorithm in all these applications was utilized to improve visual separation of structures with intensities separated by a single threshold. In the current study, however, we applied 2 thresholds that allowed us to maintain visual separation between OAF and presumed IAF, while, facilitating separation of presumed IAF and the NP.…”

Section: Discussionmentioning

confidence: 99%

Delineation of Inner Annulus Fibrosus and Nucleus Pulposus on Routine T2-weighted MR Images

Eldaya

Parsons

Rhea

et al. 2021

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Study Design. Retrospective study of 150 IVDs. Objective. Assessment of costume algorithm ability to delineate the IAF and NP on routine T2 images. Summary of Background Data. Central hyperintense region on T2-weighted MR images of normal lumbar IVDs represents a combination of IAF and NP. Ability to identify NP as distinct from IAF can help improve our understanding of IVD morphology in-vivo. Methods. Sagittal T2-weighted TSE MR images of 150 lumbar IVDs from 25 patients were analyzed. MR images were processed using a custom algorithm that markedly increased the signal intensity of structures with inherent signal intensity within 2 defined intensity thresholds. Signal intensity and contrast-to- noise ratio between outer annulus fibrosus, IAF, and NP were assessed at baseline and after processing. To assess consistency of underlying T2 differences, similar analysis was done on 108 discs from 18 patients in whom additional sagittal T2-weighted STIR images were available. Results. Following image processing, apparent IAF and NP were rendered visible in 86% and 84.3% IVDs on T2-weighted TSE and STIR images respectively. While signal intensity of these 2 regions was inherently different (P< 0.001) before processing on TSE and STIR images, their visualization was facilitated by a significant increase (P<0.001) in contrast-to-noise ratio after processing. Nonvisualization of NP was associated with disc degeneration (P<0.001). Conclusion. Inherent differences exist in signal intensities of normal NP and IAF on T2-weighted MR images. Accentuating these differences using image postprocessing techniques can render these 2 structures visible.

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Section: Discussionmentioning

confidence: 99%

Delineation of Inner Annulus Fibrosus and Nucleus Pulposus on Routine T2-weighted MR Images

Eldaya

Parsons

Rhea

et al. 2021

Spine

Self Cite

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“…e adjacent neighbor interpolation method is used to ensure that the edge image of the interpolated image is clear and fast operation can be carried out [23].…”

Section: Enlarged Image Of Oilmentioning

confidence: 99%

An Optimized Digital Image Processing Algorithm for Digital Oil Painting

Tang

2022

Mobile Information Systems

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Human civilization’s accomplishments have grown with the passage of time and the advancement of society. With the fast growth of computer networks and information technology, the conventional method of information transmission based on words cannot fulfill the demands of people in the current era. As a result, in this age of extensive information and image processing techniques, images as a means of information sharing are becoming increasingly popular. As we know, digital image processing knowledge has a far-reaching impact in the field of artistic creation, among which the creation of oil painting is facing severe challenges. Aiming at the problem that the effect of digital oil painting is not ideal, this paper aims to study digital oil painting by using digital image processing technology. This paper first uses the image edge recognition based on the improved Canny algorithm to detect the edge of the oil painting image, then uses the nonlinear image enhancement algorithm to enhance the effect of the oil painting image, then uses the improved genetic algorithm to segment the image, and finally enlarges the oil painting image to calibrate the color of the oil painting image. Experiments reveal that the proposed approach outperforms existing algorithms in terms of edge detection data integrity, high-quality coefficient index of image enhancement, picture segmentation running time, and the ability to successfully increase the visual effect of oil painting.

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“…There are some works 12,13,15,16,[18][19][20][21][22][23][24][25] that use different techniques of machine learning and deep learning such as support vector machine(SVM), artificial neural network (ANN), convolutional neural networks (CNN); illustrate different results to develop an automatic assessment of the volumetry of the hippocampus and the signal intensity of the abnormalities that characterize the MTS. However, for all these authors, like indicate Yamanakkanavar et al 8 "the segmentation of the hippocampus, is a difficult task due to its small size and volume, the anatomical variability, low signal to noise ratio(SNR), intensity inhomogeneities."…”

Section: Mesial Temporal Sclerosis (Mts) Also Called Hippocampal Sclerosis (Hs)mentioning

confidence: 99%

Assessment of mesial temporal sclerosis through MRI processing

Castillo¹,

Samaniego

Jiménez

et al. 2020

Emerging Topics in Artificial Intelligence 2020

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Mesial temporal sclerosis (MTS) is the principal cause of complex epilepsy, is manifested principally by gliosis and hippocampal volume loss. This project aims to develop an algorithm that allows automatic measurement of hippocampal volume and signal intensity in magnetic resonance imaging. The algorithm developed uses preprocessing of the images to reduce the artifacts and for the extraction of the features were used techniques of machine learning (support vector machine) and texture analysis. Results can help to optimize time in the assessment of the mesial temporal sclerosis and can contribute to the best training to the youngers neuroradiologists.

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An image processing algorithm to aid diagnosis of mesial temporal sclerosis in children: a case-control study

Cited by 5 publications

References 29 publications

Delineation of Inner Annulus Fibrosus and Nucleus Pulposus on Routine T2-weighted MR Images

Delineation of Inner Annulus Fibrosus and Nucleus Pulposus on Routine T2-weighted MR Images

An Optimized Digital Image Processing Algorithm for Digital Oil Painting

Assessment of mesial temporal sclerosis through MRI processing

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