Literature DB >> 16999952

Improved early stroke detection: wavelet-based perception enhancement of computerized tomography exams.

A Przelaskowski1, K Sklinda, P Bargieł, J Walecki, M Biesiadko-Matuszewska, M Kazubek.   

Abstract

Nonenhanced computerized tomography (CT) exams were used to detect acute stroke by notification of hypodense area. Infarction perception improvement by data denoising and local contrast enhancement in multi-scale domain was proposed. The wavelet-based image processing method enhanced the subtlest signs of hypodensity, which were often invisible in standard CT scan review. Thus improved detection efficiency of perceptual ischemic changes was investigated. Data processing became more effective by initial segmentation of brain tissue and extraction of regions susceptible to tissue density changes. The new method was experimentally verified. Sensitivity of stroke diagnosis increased to 56.3% in comparison to 12.5% of standard CT scan preview.

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Year:  2006        PMID: 16999952     DOI: 10.1016/j.compbiomed.2006.08.004

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  12 in total

1.  Automated brain computed tomographic densitometry of early ischemic changes in acute stroke.

Authors:  Berend C Stoel; Henk A Marquering; Marius Staring; Ludo F Beenen; Cornelis H Slump; Yvo B Roos; Charles B Majoie
Journal:  J Med Imaging (Bellingham)       Date:  2015-03-24

2.  An active contour model for medical image segmentation with application to brain CT image.

Authors:  Xiaohua Qian; Jiahui Wang; Shuxu Guo; Qiang Li
Journal:  Med Phys       Date:  2013-02       Impact factor: 4.071

3.  A quantitative symmetry-based analysis of hyperacute ischemic stroke lesions in noncontrast computed tomography.

Authors:  Roman Peter; Panagiotis Korfiatis; Daniel Blezek; A Oscar Beitia; Irena Stepan-Buksakowska; Daniel Horinek; Kelly D Flemming; Bradley J Erickson
Journal:  Med Phys       Date:  2017-01-08       Impact factor: 4.071

4.  Delineation of the ischemic stroke lesion based on watershed and relative fuzzy connectedness in brain MRI.

Authors:  Asit Subudhi; Subhranshu Jena; Sukanta Sabut
Journal:  Med Biol Eng Comput       Date:  2017-09-26       Impact factor: 2.602

5.  Automated ASPECTS on Noncontrast CT Scans in Patients with Acute Ischemic Stroke Using Machine Learning.

Authors:  H Kuang; M Najm; D Chakraborty; N Maraj; S I Sohn; M Goyal; M D Hill; A M Demchuk; B K Menon; W Qiu
Journal:  AJNR Am J Neuroradiol       Date:  2018-11-29       Impact factor: 3.825

6.  Quantification of image contrast of infarcts on computed tomography scans.

Authors:  R S Gomolka; R M Chrzan; A Urbanik; R Kazmierski; A D Grzanka; W L Nowinski
Journal:  Neuroradiol J       Date:  2017-01-06

7.  Ischemic stroke enhancement using a variational model and the expectation maximization method.

Authors:  Allan Felipe Fattori Alves; Rachid Jennane; José Ricardo Arruda de Miranda; Carlos Clayton Macedo de Freitas; Nitamar Abdala; Diana Rodrigues de Pina
Journal:  Eur Radiol       Date:  2018-04-04       Impact factor: 5.315

8.  A promising method of enhancement for early detection of ischemic stroke.

Authors:  Mehdi Sajjadi; Mehdi Karami; Rassoul Amirfattahi; Vahid Bateni; Mohammad R Ahamadzadeh; Bahareh Ebrahimi
Journal:  J Res Med Sci       Date:  2012-09       Impact factor: 1.852

9.  Prediction and control of stroke by data mining.

Authors:  Leila Amini; Reza Azarpazhouh; Mohammad Taghi Farzadfar; Sayed Ali Mousavi; Farahnaz Jazaieri; Fariborz Khorvash; Rasul Norouzi; Nafiseh Toghianfar
Journal:  Int J Prev Med       Date:  2013-05

10.  Feasibility and Diagnostic Accuracy of Ischemic Stroke Territory Recognition Based on Two-Dimensional Projections of Three-Dimensional Diffusion MRI Data.

Authors:  Jana Katharina Wrosch; Bastian Volbers; Philipp Gölitz; Daniel Frederic Gilbert; Stefan Schwab; Arnd Dörfler; Johannes Kornhuber; Teja Wolfgang Groemer
Journal:  Front Neurol       Date:  2015-11-19       Impact factor: 4.003

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