Evidence map›Paper›PMID 27307267›Full record

ArticleJournal of medical systems2016

A New Method for Computed Tomography Angiography (CTA) Imaging via Wavelet Decomposition-Dependented Edge Matching Interpolation.

Zeyu Li, Yimin Chen, Yan Zhao, Lifeng Zhu, Shengqing Lv, Jiahui Lu

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Article in Journal of medical systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zeyu LiSchool of Computer Engineering and Science, Shanghai University, No.99 Shang Da Road, Shanghai, 200444, China.
Yimin ChenSchool of Computer Engineering and Science, Shanghai University, No.99 Shang Da Road, Shanghai, 200444, China. ymchen@mail.shu.edu.cn.
Yan ZhaoComputer Center Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No2 Ruijin Road, Shanghai, 200025, China.
Lifeng ZhuComputer Center Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No2 Ruijin Road, Shanghai, 200025, China.
Shengqing LvSchool of Computer Engineering and Science, Shanghai University, No.99 Shang Da Road, Shanghai, 200444, China.
Jiahui LuSchool of Computer Engineering and Science, Shanghai University, No.99 Shang Da Road, Shanghai, 200444, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interpolation technique of computed tomography angiography (CTA) image provides the ability for 3D reconstruction, as well as reduces the detect cost and the amount of radiation. However, most of the image interpolation algorithms cannot take the automation and accuracy into account. This study provides a new edge matching interpolation algorithm based on wavelet decomposition of CTA. It includes mark, scale and calculation (MSC). Combining the real clinical image data, this study mainly introduces how to search for proportional factor and use the root mean square operator to find a mean value. Furthermore, we re- synthesize the high frequency and low frequency parts of the processed image by wavelet inverse operation, and get the final interpolation image. MSC can make up for the shortage of the conventional Computed Tomography (CT) and Magnetic Resonance Imaging(MRI) examination. The radiation absorption and the time to check through the proposed synthesized image were significantly reduced. In clinical application, it can help doctor to find hidden lesions in time. Simultaneously, the patients get less economic burden as well as less radiation exposure absorbed.

Indexed as

Wavelet AnalysisAlgorithmsComputed Tomography AngiographyHumansImage Processing, Computer-AssistedRadiation DosageEdge detectionMatching point interpolationRoot mean squareWavelet transform

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.