Guney, G;
Uluc, N;
Demirkiran, A;
Aytac-Kipergil, E;
Unlu, MB;
Birgul, O;
(2017)
Noise Reduction in Photoacoustic Imaging using Wavelet Transform.
In:
2017 21st National Biomedical Engineering Meeting (BIYOMUT).
IEEE: Istanbul, Turkey.
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Abstract
Fotoakustik mikroskop (Photoacoustic Microscopy, PAM) fotoakustik etki temeline dayanan ve son yıllarda geliştirilmeye başlayan hibrid bir görüntüleme tekniğidir. Optik kontrastı akustik olarak algılayan sistem yapısı sayesinde optik difüzyon sınırının ötesinde derin bir görüntülemeyi yüksek çözünürlükle sunabilmektedir. PAM sistemi ile görüntülemede kaydedilen sinyaller, sistem bileşenleri ve çevresel etkilerle gürültüye maruz kalmaktadır. Yapılan çalışmanın ilk aşamasında akustik dalga denkleminin çözümüyle oluşturulan akustik sinyal üzerine belirli oranlarda sentetik gürültüler eklenmiştir. Gürültülü sinyallere farklı ana dalgacıklar kullanılarak ayrık dalgacık dönüşümü ile filtreleme işlemi uygulanmış ve filtreleme performansının değerlendirilmesi için sinyaller üzerinde gürültü metrikleri hesaplanmıştır. İkinci aşamada, ilk aşamada elde edilen veriler doğrultusunda PA sinyallerin filtrelenmesi için uygun ana dalgacıklar seçilmiş filtrelenen sinyaller ile görüntüler oluşturularak, görüntüler üzerinde gürültü metrikleri incelenmiştir // Photoacoustic microscopy (PAM) is a hybrid imaging technique based on the photoacoustic effect and which has begun to develop in recent years. Thanks to the system structure that senses the optical contrast acoustically, it is able to present deep imaging with high resolution beyond the optical diffusion limit. Signals recorded in imaging with the PAM system are exposed to noise by system components and environmental effectcs. In the first stage of the work, a synthetic noise is added at a certain rate on the acoustic signal generated by the solution of the acoustic wave equation. Noisy signals are filtered using discrete wavelet transforms using different main wavelets and noise metrics are calculated on the signals to evaluate the filtering performance. In the second step, the noise metrics are examined on the images by generating the images with the filtered wavelet signals, which are suitable for filtering the PA signals in the direction of the data obtained in the first stage.
| Type: | Proceedings paper |
|---|---|
| Title: | Noise Reduction in Photoacoustic Imaging using Wavelet Transform |
| Event: | 21st National Biomedical Engineering Meeting (BIYOMUT) |
| Location: | Istanbul, TURKEY |
| Dates: | 24 November 2017 - 26 December 2017 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/BIYOMUT.2017.8479033 |
| Publisher version: | http://dx.doi.org/10.1109/BIYOMUT.2017.8479033 |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10126816 |
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