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EnglishNumerous beamforming methods exist for ultrasound B-mode imaging, but it is known that adaptive/non-linear beamformers may alter the image dynamic range. To obtain an 8-bit image for further processing, it is necessary to determine a specific dynamic range, which may vary between beamforming methods in order to obtain a visually similar image. The aim here is to present an automated method to estimate the optimal dynamic range. We tested two phantom images and one in vivo image using six different beamforming techniques. The cumulative sums of the image histograms are compared with a standard dynamic range (i.e., 60 dB) and the contrast ratio and contrast-to-noise ratio are computed. We show that the automatically determined dynamic range is able to standardize the image among various beamforming techniques, which is essential when further image processing methods are employed.
Automatic dynamic range estimation for ultrasound image visualization and processing / Meiburger, K. M.; Seoni, S.; Matrone, G.. - 2020-(2020), pp. 1-4. ((Intervento presentato al convegno 2020 IEEE International Ultrasonics Symposium, IUS 2020 tenutosi a Virtual nel September 6-11 2020.
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| Titolo: | Automatic dynamic range estimation for ultrasound image visualization and processing | |
| Autori: | ||
| Data di pubblicazione: | 2020 | |
| Serie: | ||
| Abstract: | Numerous beamforming methods exist for ultrasound B-mode imaging, but it is known that adaptive/n...on-linear beamformers may alter the image dynamic range. To obtain an 8-bit image for further processing, it is necessary to determine a specific dynamic range, which may vary between beamforming methods in order to obtain a visually similar image. The aim here is to present an automated method to estimate the optimal dynamic range. We tested two phantom images and one in vivo image using six different beamforming techniques. The cumulative sums of the image histograms are compared with a standard dynamic range (i.e., 60 dB) and the contrast ratio and contrast-to-noise ratio are computed. We show that the automatically determined dynamic range is able to standardize the image among various beamforming techniques, which is essential when further image processing methods are employed. | |
| ISBN: | 978-1-7281-5448-0 | |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| 2020_IUS_AutoDR.pdf | 2. Post-print / Author's Accepted Manuscript | PUBBLICO - Tutti i diritti riservati | Visibile a tuttiVisualizza/Apri | |
| Meiburger-AutomaticDynamic.pdf | 2a Post-print versione editoriale / Version of Record | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
http://hdl.handle.net/11583/2860150
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