Non local means denoising in photoacoustic imaging
(2018) In Japanese Journal of Applied Physics 57(7S1).- Abstract
- Photoacoustic (PA) imaging has the ability to visualize human organs with high spatial resolution and high contrast. Like digital images, PA images are contaminated with random noise due to some parameters. The band-pass filter does not effectively remove the noise because noise is randomly distributed in the bandwidth frequency. We present noise removal method in PA images by using non local means denoising (NLMD) method. The NLMD can be used if there are similarities or redundancies in the image. PA images contain of blood vessel which repeating on the small patch. The method was tested on PA images of carbon nanotubes in micropipe, in vivo mice brain and in vivo mice ear. We estimated the suggested input parameters of NLMD, so it can be... (More)
- Photoacoustic (PA) imaging has the ability to visualize human organs with high spatial resolution and high contrast. Like digital images, PA images are contaminated with random noise due to some parameters. The band-pass filter does not effectively remove the noise because noise is randomly distributed in the bandwidth frequency. We present noise removal method in PA images by using non local means denoising (NLMD) method. The NLMD can be used if there are similarities or redundancies in the image. PA images contain of blood vessel which repeating on the small patch. The method was tested on PA images of carbon nanotubes in micropipe, in vivo mice brain and in vivo mice ear. We estimated the suggested input parameters of NLMD, so it can be automatically applied after scanning the image in PA imaging system. Our results declared that the NLMD enhanced the image quality of PA images. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/921b5571-88e7-4fec-86d2-22bf71db75b6
- author
- Siregar, Syahril LU ; Nagaoka, R. ; Ul Haq, I. and Saijo, Y.
- publishing date
- 2018-04-19
- type
- Contribution to journal
- publication status
- published
- in
- Japanese Journal of Applied Physics
- volume
- 57
- issue
- 7S1
- article number
- 07LB06
- publisher
- IOP Publishing
- external identifiers
-
- scopus:85049386971
- ISSN
- 0021-4922
- DOI
- 10.7567/JJAP.57.07LB06
- language
- English
- LU publication?
- no
- id
- 921b5571-88e7-4fec-86d2-22bf71db75b6
- date added to LUP
- 2019-05-08 13:33:48
- date last changed
- 2022-03-17 23:32:54
@article{921b5571-88e7-4fec-86d2-22bf71db75b6, abstract = {{Photoacoustic (PA) imaging has the ability to visualize human organs with high spatial resolution and high contrast. Like digital images, PA images are contaminated with random noise due to some parameters. The band-pass filter does not effectively remove the noise because noise is randomly distributed in the bandwidth frequency. We present noise removal method in PA images by using non local means denoising (NLMD) method. The NLMD can be used if there are similarities or redundancies in the image. PA images contain of blood vessel which repeating on the small patch. The method was tested on PA images of carbon nanotubes in micropipe, in vivo mice brain and in vivo mice ear. We estimated the suggested input parameters of NLMD, so it can be automatically applied after scanning the image in PA imaging system. Our results declared that the NLMD enhanced the image quality of PA images.}}, author = {{Siregar, Syahril and Nagaoka, R. and Ul Haq, I. and Saijo, Y.}}, issn = {{0021-4922}}, language = {{eng}}, month = {{04}}, number = {{7S1}}, publisher = {{IOP Publishing}}, series = {{Japanese Journal of Applied Physics}}, title = {{Non local means denoising in photoacoustic imaging}}, url = {{http://dx.doi.org/10.7567/JJAP.57.07LB06}}, doi = {{10.7567/JJAP.57.07LB06}}, volume = {{57}}, year = {{2018}}, }