Archives of Acoustics, 44, 4, pp. 645–657, 2019
10.24425/aoa.2019.129723

Analysis of Using Multi-Angle Conventional Ultrasound Scanning for Efficient 3-D Object Imaging

Maciej SABINIOK
Wrocław University of Science and Technology
Poland

Krzysztof J. OPIELIŃSKI
Wrocław University of Science and Technology
Poland

Sylwia LIS
Wrocław University of Science and Technology
Poland

The purpose of this work is to examine the possibility of using multi-angle conventional ultrasound B-mode scanning in efficient 3-D imaging. In the paper, the volume of an object is reconstructed from vertical projections registered at fixed angular positions of the multi-element linear ultrasonic probe rotated in relation to the object submerged in water. The possible configurations are: vertical lateral, vertical top or vertical bottom. In the vertical lateral configuration, the ultrasonic probe acquires 2-D images of object’s vertical cross-sections, turning around its lateral surface. In the vertical top or bottom configuration, the ultrasonic probe acquires 2-D images of the object’s vertical cross-sections, turning on the horizontal plane over the top or under the bottom surface of the object. The method of recording 3-D volume of an object’s structure and reconstruction algorithm have been designed. Studies show the method in the vertical top or bottom configuration could be successfully applied to the effective 3-D visualisation of the structure of the female breast in vivo as the new complement ultrasonic imaging modality in the prototype of the developed ultrasound tomography scanner.
Keywords: ultrasonic imaging; multi-angle scanning; efficient 3-D imaging; ultrasound tomography
Full Text: PDF

References

Burgess M.D., O’Neal E.L. (2019), Breast ultrasound for the evaluation of benign breast disease, Current Radiology Reports, 7, 3, 1–11, doi: 10.1007/s40134-019-0316-x.

CIRS Tissue Simulation & Phantom Technology (2017a), Breast elastography phantom model 059, from www.cirsinc.com/products/all/83/breast-elastography-phantom/.

CIRS Tissue Simulation & Phantom Technology (2017b), Stereotactic needle biopsy training phantom model 013, from www.cirsinc.com/products/all/44/stereotactic-needle-biopsy-training-phantom/.

Digital Imaging and Communications in Medicine – DICOM (2019), from www.dicomstandard.org.

Duric N. et al. (2014), Breast imaging with SoftVue: initial clinical evaluation, [in:] Medical Imaging: Ultrasonic Imaging and Tomography, Proceedings of SPIE, vol. 9040, Bosch J.G., Doyley M.M. [Eds], pp. 90400V-1–8, SPIE – International Society For Optics and Photonics, San Diego, doi: 10.1117/12.2043768.

Fenster A., Bax J., Neshat H., Kakani N., Romagnoli C. (2013), 3D ultrasound imaging in image-guided intervention, [in:] Advancements and breakthroughs in ultrasound imaging, Gunarathne G.P.P. [Ed.], p. 27, IntechOpen, doi: 10.5772/55230.

Forte S., Dellas S., Stieltjes B., Bongartz B. (2017), Multimodal ultrasound tomography for breast imaging: a prospective study of clinical feasibility, European Radiology Experimental, 1, 27, 6, doi: 10.1186/s41747-017-0029-y.

Freer P.E. (2015), Mammographic breast density: impact on breast cancer risk and implications for screening, RadioGraphics, 35, 2, 302–315, doi: 10.1148/rg.352140106.

Hooley R.J., Scoutt L.M, Philpotts L.E. (2013), Breast ultrasonography: state of the art, Radiology, 268, 3, 642–659, doi: 10.1148/radiol.13121606.

Iuanow E., Smith K., Obuchowski N.A., Bullen J., Klock J.C. (2017), Accuracy of cyst versus solid diagnosis in the breast using Quantitative Transmission (QT) ultrasound, Academic Radiology, 24, 9, 1148–1153, doi: 10.1016/j.acra.2017.03.024.

Jaglan P., Dass R., Duhan M. (2019), Breast cancer detection techniques: issues and challenges, Journal of The Institution of Engineers (India): Series B, 100, 4, 379–386, doi: 10.1007/s40031-019-00391-2.

Milewski T. et al. (2019), Hybrid ultrasound tomography scanner – a novel instrument designed to examine breast as a breast cancer screening method, Biomedical Journal of Scientific & Technical Research, 14, 4, 10822–10826, doi: 10.26717.BJSTR.2019.14.002594.

Okello J., Kisembo H., Bugeza S., Galukande M. (2014), Breast cancer detection using sonography in women with mammographically dense breasts, BMC Medical Imaging, 14, 1, article number: 41, doi: 10.1186/s12880-014-0041-0.

Opieliński K.J. (2014), Full angle ultrasound spatial compound imaging, Proceedings of 7th Forum Acusticum 2014, p. 6, Krakow, Poland.

Opieliński K., Gudra T. (2016), Bioacoustic range equation, [in:] Hydroacoustics, vol. 19, Grelowska G. [Ed.], pp. 307–318, Polish Acoustical Society, Gdansk Department Polish Academy of Sciences, The Committee on Acoustics, Gdansk, Poland, http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-136b0a14-d3f1-4b98-9c1f-81c6cc10e797/c/Opielinski_2CGudra_hydroacoustics-vol19-pp307.pdf.

Opieliński K.J. et al. (2018a), Multimodal ultrasound computer-assisted tomography: An approach to the recognition of breast lesions, Computerized Medical Imaging and Graphics, 65, 102–114, doi: 10.1016/j.compmedimag.2017.06.009.

Opieliński K.J., Pruchnicki P., Wiktorowicz A., Jóźwik M. (2018b), Algorithm for the fusion of ultrasound tomography breast images allowing automatic discrimination between benign and malignant tumors in screening tests, [in:] Information technologies in biomedicine, ITIB 2018. Advances in Intelligent Systems and Computing, Vol. 762, Pietka E., Badura P., Kawa J., Wiecławek W. [Eds], pp. 49–60, Springer, Cham, doi: 10.1007/978-3-319-91211-0_11.

Staszewski W., Gudra T., Opieliński K.J. (2018), The acoustic field distribution inside the ultrasonic ring array, Archives of Acoustics, 43, 3, 455–463, doi: 10.24425/123917.

Yezitronix Group Inc. Automation & Control Industries Inc. (2017), Multi-modality breast phantom model (Ultrasound, CT, MRI) – Model B-MM – 1.2, www.yezitronix.com.




DOI: 10.24425/aoa.2019.129723

Copyright © Polish Academy of Sciences & Institute of Fundamental Technological Research (IPPT PAN)