Blind Deconvolution for Ultrasound Sequences Using a Noninverse Greedy Algorithm
The blind deconvolution of ultrasound sequences in medical ultrasound technique is still a major problem despite the efforts made. This paper presents a blind noninverse deconvolution algorithm to eliminate the blurring effect, using the envelope of the acquired radio-frequency sequences and a prior...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2013/496067 |
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| _version_ | 1849304913102766080 |
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| author | Liviu-Teodor Chira Corneliu Rusu Clovis Tauber Jean-Marc Girault |
| author_facet | Liviu-Teodor Chira Corneliu Rusu Clovis Tauber Jean-Marc Girault |
| author_sort | Liviu-Teodor Chira |
| collection | DOAJ |
| description | The blind deconvolution of ultrasound sequences in medical ultrasound technique is still a major problem despite the efforts made. This paper presents a blind noninverse deconvolution algorithm to eliminate the blurring effect, using the envelope of the acquired radio-frequency sequences and a priori Laplacian distribution for deconvolved signal. The algorithm is executed in two steps. Firstly, the point spread function is automatically estimated from the measured data. Secondly, the data are reconstructed in a nonblind way using proposed algorithm. The algorithm is a nonlinear blind deconvolution which works as a greedy algorithm. The results on simulated signals and real images are compared with different state of the art methods deconvolution. Our method shows good results for scatters detection, speckle noise suppression, and execution time. |
| format | Article |
| id | doaj-art-39df80f9b8be4d6fbaac524a2049b2a3 |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-39df80f9b8be4d6fbaac524a2049b2a32025-08-20T03:55:36ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962013-01-01201310.1155/2013/496067496067Blind Deconvolution for Ultrasound Sequences Using a Noninverse Greedy AlgorithmLiviu-Teodor Chira0Corneliu Rusu1Clovis Tauber2Jean-Marc Girault3Signal & Imaging Group, University François Rabelais of Tours, PRES Loire Valley University, UMR INSERM U930, 7 Avenue Marcel Dassault, 37200 Tours Cedex, FranceFaculty of Electronics, Telecommunications and Information Theory, Technical University of Cluj-Napoca, Cluj-Napoca 400027, RomaniaSignal & Imaging Group, University François Rabelais of Tours, PRES Loire Valley University, UMR INSERM U930, 7 Avenue Marcel Dassault, 37200 Tours Cedex, FranceSignal & Imaging Group, University François Rabelais of Tours, PRES Loire Valley University, UMR INSERM U930, 7 Avenue Marcel Dassault, 37200 Tours Cedex, FranceThe blind deconvolution of ultrasound sequences in medical ultrasound technique is still a major problem despite the efforts made. This paper presents a blind noninverse deconvolution algorithm to eliminate the blurring effect, using the envelope of the acquired radio-frequency sequences and a priori Laplacian distribution for deconvolved signal. The algorithm is executed in two steps. Firstly, the point spread function is automatically estimated from the measured data. Secondly, the data are reconstructed in a nonblind way using proposed algorithm. The algorithm is a nonlinear blind deconvolution which works as a greedy algorithm. The results on simulated signals and real images are compared with different state of the art methods deconvolution. Our method shows good results for scatters detection, speckle noise suppression, and execution time.http://dx.doi.org/10.1155/2013/496067 |
| spellingShingle | Liviu-Teodor Chira Corneliu Rusu Clovis Tauber Jean-Marc Girault Blind Deconvolution for Ultrasound Sequences Using a Noninverse Greedy Algorithm International Journal of Biomedical Imaging |
| title | Blind Deconvolution for Ultrasound Sequences Using a Noninverse Greedy Algorithm |
| title_full | Blind Deconvolution for Ultrasound Sequences Using a Noninverse Greedy Algorithm |
| title_fullStr | Blind Deconvolution for Ultrasound Sequences Using a Noninverse Greedy Algorithm |
| title_full_unstemmed | Blind Deconvolution for Ultrasound Sequences Using a Noninverse Greedy Algorithm |
| title_short | Blind Deconvolution for Ultrasound Sequences Using a Noninverse Greedy Algorithm |
| title_sort | blind deconvolution for ultrasound sequences using a noninverse greedy algorithm |
| url | http://dx.doi.org/10.1155/2013/496067 |
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