Abstract
According to the American Cancer Society, breast
cancer is the second most common form of cancer in american
women after skin cancer and the second major cause of cancerrelated death after lung cancer. Still mammography is the
imaging option guaranteeing the best diagnostic sensitivity but it
causes high cost, is subjecting women to ionizing radiation, and
is not readily available and not advisable to screen women on a
very dense regular basis. Ultrasonic imaging, however is readily
available in any gynecologist’s clinic but still lags behind in
sensitivity. Ultrasonic attenuation imaging, an imaging modality
providing information on the local absorption property of the
propagation medium, the various breast tissues, can help the
clinician in her diagnosis by providing a color-coded overlay
over the morphology that can be imaged using standard B-mode.
We discuss and compare the results obtained by two attenuation
estimation algorithms, the Method-of-Moments and the Spectrallog-Difference method operating on k-wave-simulated ultrasonic
B-mode volume data. We also elaborate on the numerical
complexity and the cost in terms of processing power necessary
for both algorithms. The results show comparable performance
with the MoM resulting in a smaller processor load as compared
to the SLD technique.
| Originalsprache | Englisch |
|---|---|
| Titel | Proceedings of the 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) |
| Herausgeber*innen | IEEE |
| Seitenumfang | 6 |
| ISBN (elektronisch) | 9781665412629 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 07 Okt. 2021 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
-
SDG 3 – Gute Gesundheit und Wohlergehen
Wissenschaftszweige
- 202012 Elektrische Messtechnik
- 202036 Sensorik
- 102003 Bildverarbeitung
- 202 Elektrotechnik, Elektronik, Informationstechnik
- 202027 Mechatronik
- 202037 Signalverarbeitung
JKU-Schwerpunkte
- Digital Transformation
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