Pregled bibliografske jedinice broj: 971619
Using Filter Factors for Regularization in Ultrasound Tomography
Using Filter Factors for Regularization in Ultrasound Tomography // 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Honolulu (HI): Institute of Electrical and Electronics Engineers (IEEE), 2018. str. 895-898 doi:10.1109/EMBC.2018.8512447 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 971619 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Using Filter Factors for Regularization in Ultrasound Tomography
Autori
Carević, Anita ; Abdou, Ali ; Barlow, Jesse ; Almekkawy, Mohamed
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
/ - Honolulu (HI) : Institute of Electrical and Electronics Engineers (IEEE), 2018, 895-898
ISBN
978-1-5386-3646-6
Skup
40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Mjesto i datum
Honolulu (HI), Sjedinjene Američke Države, 18.07.2018. - 21.07.2018
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Inverse problem, Regularization, Ultrasound tomography, Distorted Born iterative method.
Sažetak
The motivation for ultrasound tomography is the location and identification of malignant human breast tissues for the purpose of detecting breast cancer. Although mammography is widely used for breast cancer detection, it has a high false positive rate and does not always accurately separate malignant tissue from benign tissue. Ultrasound tomography is used to compensate for these shortcomings. The computational model for ultrasound tomography is based upon solving an inverse scattering problem by finding the approximate total field and unknown scattering function using an iterative method. The principal computational problem involved is the solution of an ill-conditioned linear system, Xy=b, arising from an ill-posed problem written as an integral equation. In this paper, we explore the DSVD and the DGSVD regularization methods to solve the inverse scattering problem. The DGSVD algorithm gives better results than the DSVD algorithm when we introduce noise in either one or both sides of the linear system Xy=b.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
Profili:
Anita Carević
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus