2020
DOI: 10.3934/mbe.2020161
|View full text |Cite
|
Sign up to set email alerts
|

Optimization of multi-angle Magneto-Acousto-Electrical Tomography (MAET) based on a numerical method

Abstract: <abstract> <p>Magneto-Acousto-Electrical Tomography (MAET) is a novel multi-physics imaging method, which promises to offer a unique biophysical property of tissue electrical impedance with the additional benefit of excellent spatial resolution of the ultrasonic imaging. It opens the potential for early diagnosis of cancer by revealing changes of dielectric characteristics. However, direct MAET is unable to image the irregularly-shaped lesions fully due to the dependence on the angle between con… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
12
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 10 publications
(12 citation statements)
references
References 27 publications
0
12
0
Order By: Relevance
“…Furthermore, this team analyzed the effect of the number of excitation pulses and the ultrasonic excitation frequency on the longitudinal and vertical resolution of the MAET system and obtained images of the conductivity parameters of isolated pork under optimal experimental conditions [52] . To reconstruct conductivity images of irregular objects, this team proposed an approach with multi-angle scanning, and the relationship between the reconstruction error and number of angles was also presented, demonstrating that an optimal reconstruction can be achieved at 12 angles [53][54] . The team also conducted the Baker encoding excitation system, and achieved isolated tissue imaging [55] .…”
Section: Fig 5 Conductivity Gradient Image Of Maetmentioning
confidence: 99%
“…Furthermore, this team analyzed the effect of the number of excitation pulses and the ultrasonic excitation frequency on the longitudinal and vertical resolution of the MAET system and obtained images of the conductivity parameters of isolated pork under optimal experimental conditions [52] . To reconstruct conductivity images of irregular objects, this team proposed an approach with multi-angle scanning, and the relationship between the reconstruction error and number of angles was also presented, demonstrating that an optimal reconstruction can be achieved at 12 angles [53][54] . The team also conducted the Baker encoding excitation system, and achieved isolated tissue imaging [55] .…”
Section: Fig 5 Conductivity Gradient Image Of Maetmentioning
confidence: 99%
“…The objects were placed on a turntable chamber around the vertical axis, and the distribution of conductivity boundaries was reconstructed by the MAE measurement using the combination of 40 linear‐scanning steps and 200 rotation angles. In 2020, to improve the SNR of MAET, a focused transducer 32 was adopted by Sun et al. to excite the phantom model of two elliptically‐shaped tumors.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, it is impossible to reconstruct B‐mode MAE images accurately in terms of shape and size as well as brightness of conductivity boundaries for objects of arbitrary shapes 31 . Moreover, although the acoustic pressure can be greatly strengthened by a focused transducer, 32 the conductivity gradient cannot be resolved precisely because of the violent pressure change in a small‐sized focal region. Thus, the focused transducer can be applied to the point‐by‐point scanning measurement in two or three dimensions instead of the B‐mode or tomographic imaging.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In 2020, a threedimensional mathematical simulation model of MAET was presented, and a three-dimensional image was reconstructed by Li et al [22]. Numerical simulation of multi-angle MAET for improving image reconstruction of MAET was presented by Sun et al [23]. Furthermore, noninvasive modality of treatment-efficacy evaluation for high-intensity focused ultrasound ablation using MAET technology was theoretically investigated by Zhou et al [24].…”
Section: Introductionmentioning
confidence: 99%