Please use this identifier to cite or link to this item:
Title: Image guided filtering for improving photoacoustic tomographic image reconstruction
Authors: Awasthi, Navchetan
Kalva, Sandeep Kumar
Pramanik, Manojit
Yalavarthy, Phaneendra K.
Keywords: Photoacoustic Imaging
Guided Image Filtering
Issue Date: 2018
Source: Awasthi, 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.23.9.091413
Journal: Journal of Biomedical Optics
Abstract: Several 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.
ISSN: 1083-3668
DOI: 10.1117/1.JBO.23.9.091413
Schools: School of Chemical and Biomedical Engineering 
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: [].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCBE Journal Articles

Files in This Item:
File Description SizeFormat 
GF_Final_V6_reduced.pdf4.75 MBAdobe PDFThumbnail

Citations 20

Updated on Jul 9, 2024

Web of ScienceTM
Citations 20

Updated on Oct 25, 2023

Page view(s) 50

Updated on Jul 22, 2024

Download(s) 50

Updated on Jul 22, 2024

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.