Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/82511
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dc.contributor.authorAwasthi, Navchetanen_US
dc.contributor.authorKalva, Sandeep Kumaren_US
dc.contributor.authorPramanik, Manojiten_US
dc.contributor.authorYalavarthy, Phaneendra K.en_US
dc.date.accessioned2018-11-29T08:39:23Zen
dc.date.accessioned2019-12-06T14:57:03Z-
dc.date.available2018-11-29T08:39:23Zen
dc.date.available2019-12-06T14:57:03Z-
dc.date.copyright2018en
dc.date.issued2018-
dc.identifier.citationAwasthi, N., Kalva, S. K., Pramanik, M., & Yalavarthy, P. K. (2018). Image guided filtering for improving photoacoustic tomographic image reconstruction. Journal of Biomedical Optics, 23(09), 1-. doi:10.1117/1.JBO.23.9.091413en_US
dc.identifier.issn1083-3668en_US
dc.identifier.urihttps://hdl.handle.net/10356/82511-
dc.description.abstractSeveral algorithms exist to solve the photoacoustic image reconstruction problem depending on the expected reconstructed image features. These reconstruction algorithms promote typically one feature, such as being smooth or sharp, in the output image. Combining these features using a guided filtering approach was attempted in this work, which requires an input and guiding image. This approach act as a postprocessing step to improve commonly used Tikhonov or total variational regularization method. The result obtained from linear backprojection was used as a guiding image to improve these results. Using both numerical and experimental phantom cases, it was shown that the proposed guided filtering approach was able to improve (as high as 11.23 dB) the signal-to-noise ratio of the reconstructed images with the added advantage being computationally efficient. This approach was compared with state-of-the-art basis pursuit deconvolution as well as standard denoising methods and shown to outperform them.en_US
dc.format.extent67 p.en
dc.language.isoenen_US
dc.relation.ispartofJournal of Biomedical Opticsen_US
dc.rights© 2018 Society of Photo-optical Instrumentation Engineers (SPIE). This is the author created version of a work that has been peer reviewed and accepted for publication by Journal of Biomedical Optics, Society of Photo-optical Instrumentation Engineers (SPIE). It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1117/1.JBO.23.9.091413].en_US
dc.subjectPhotoacoustic Imagingen_US
dc.subjectGuided Image Filteringen_US
dc.subjectDRNTU::Engineering::Bioengineeringen_US
dc.titleImage guided filtering for improving photoacoustic tomographic image reconstructionen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Chemical and Biomedical Engineeringen_US
dc.identifier.doi10.1117/1.JBO.23.9.091413-
dc.identifier.doi208396-
dc.description.versionAccepted versionen_US
dc.identifier.rims208396en
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item.grantfulltextopen-
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