Quantitative transmission ultrasound tomography: Imaging and performance characteristics

Malik, Bilal; Terry, Robin; Wiskin, James; Lenox, M.

doi:10.1002/mp.12957

Cited by 54 publications

(46 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The ability to detect mass or tumor from the background that contains noise is measured by the contrast to noise ratio (

) [ 33 ], defined by

where

is the standard deviation of the background’s SS value. The higher the

, the more easily the object can be identified.…”

Section: Experiments and Resultsmentioning

confidence: 99%

Zone-Shrinking Fresnel Zone Travel-Time Tomography for Sound Speed Reconstruction in Breast USCT

Fang

Song

et al. 2020

Sensors

View full text Add to dashboard Cite

Many studies have been carried out on ultrasound computed tomography (USCT) for its potential application in breast imaging. The sound speed (SS) image modality in USCT can help doctors diagnose the breast cancer, as the tumor usually has a higher sound speed than normal tissues. Travel time is commonly used to reconstruct SS image. Raypath travel-time tomography (RTT) assumes that the sound wave travels through a raypath. RTT is computationally efficient but with low contrast to noise ratio (CNR). Fresnel zone travel-time tomography (FZTT) is based on the assumption that the sound wave travels through an area called the Fresnel zone. FZTT can provide SS image with high CNR but low accuracy due to the wide Fresnel zone. Here, we propose a zone-shrinking Fresnel zone travel-time tomography (ZSFZTT), where a weighting factor is adopted to shrink the Fresnel zone during the inversion process. Numerical phantom and in vivo breast experiments were performed with ZSFZTT, FZTT, and RTT. In the numerical experiment, the reconstruction biases of size by ZSFZTT, FZTT, and RTT were 0.2%~8.3%, 2.3%~31.7%, and 1.8%~25%; the reconstruction biases of relative SS value by ZSFZTT, FZTT, and RTT were 24.7%~42%, 53%~60.8%, and 30.3%~47.8%; and the CNR by ZSFZTT, FZTT, and RTT were 67.7~96.6, 68.5~98, and 1.7~2.7. In the in vivo breast experiment, ZSFZTT provided the highest CNR of 8.6 compared to 8.1 by FZTT and 1.9 by RTT. ZSFZTT improved the reconstruction accuracy of size and the relative reconstruction accuracy of SS value compared to FZTT and RTT while maintaining a high CNR similar to that of FZTT.

show abstract

“…The ability to detect mass or tumor from the background that contains noise is measured by the contrast to noise ratio (

) [ 33 ], defined by

where

is the standard deviation of the background’s SS value. The higher the

, the more easily the object can be identified.…”

Section: Experiments and Resultsmentioning

confidence: 99%

Zone-Shrinking Fresnel Zone Travel-Time Tomography for Sound Speed Reconstruction in Breast USCT

Fang

Song

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…We also note that our images are unique in their high resolution, reduction of 2D artifact, and reduction of “volume averaging” which may affect any segmentation yielding a QBD score . Sak et al .…”

Section: Discussionmentioning

confidence: 99%

“…We also note that our images are unique in their high resolution, reduction of 2D artifact, and reduction of "volume averaging" which may affect any segmentation yielding a QBD score. 28,42 Sak et al 43 obtained a Spearman correlation coefficient of 0.568 between k-means segmented and 0.715 between threshold segmented volumes based on ultrasound tomography and mammographic breast density. Our comparison yielded a correlation of 0.96 and the value appears to remain high over larger cohorts, as future publications will establish.…”

Section: Discussionmentioning

confidence: 99%

Quantitative assessment of breast density using transmission ultrasound tomography

et al. 2019

Self Cite

View full text Add to dashboard Cite

Purpose Breast density is important in the evaluation of breast cancer risk. At present, breast density is evaluated using two‐dimensional projections from mammography with or without tomosynthesis using either (a) subjective assessment or (b) a computer‐aided approach. The purpose of this work is twofold: (a) to establish an algorithm for quantitative assessment of breast density using quantitative three‐dimensional transmission ultrasound imaging; and (b) to determine how these quantitative assessments compare with both subjective and objective mammographic assessments of breast density. Methods We described and verified a threshold‐based segmentation algorithm to give a quantitative breast density ( QBD ) on ultrasound tomography images of phantoms of known geometric forms. We also used the algorithm and transmission ultrasound tomography to quantitatively determine breast density by separating fibroglandular tissue from fat and skin, based on imaged, quantitative tissue characteristics, and compared the quantitative tomography segmentation results with subjective and objective mammographic assessments. Results Quantitative breast density ( QBD ) measured in phantoms demonstrates high quantitative accuracy with respect to geometric volumes with average difference of less than 0.1% of the total phantom volumes. There is a strong correlation between QBD and both subjective mammographic assessments of Breast Imaging ‐ Reporting and Data System ( BI ‐ RADS ) breast composition categories and Volpara density scores — the Spearman correlation coefficients for the two comparisons were calculated to be 0.90 (95% CI : 0.71–0.96) and 0.96 (95% CI : 0.92–0.98), respectively. Conclusions The calculation of breast density using ultrasound tomography and the described segmentation algorithm is quantitatively accurate in phantoms and highly correlated with both subjective and Food and Drug Administration ( FDA )‐cleared objective assessments of breast density.

show abstract

“…This method also addresses high costs of imaging and corresponding unavailability to low income areas. It yields biomarkers (speed of sound, attenuation and reflectivity) previously unavailable at such high resolution 41,51 .…”

Section: Full Wave 3d Inverse Scattering Transmission Ultrasound Tomomentioning

confidence: 99%

Full wave 3D inverse scattering transmission ultrasound tomography in the presence of high contrast

Wiskin

Malik

Borup

et al. 2020

Sci Rep

Self Cite

View full text Add to dashboard Cite

We present here a quantitative ultrasound tomographic method yielding a sub-mm resolution, quantitative 3D representation of tissue characteristics in the presence of high contrast media. This result is a generalization of previous work where high impedance contrast was not present and may provide a clinically and laboratory relevant, relatively inexpensive, high resolution imaging method for imaging in the presence of bone. This allows tumor, muscle, tendon, ligament or cartilage disease monitoring for therapy and general laboratory or clinical settings. The method has proven useful in breast imaging and is generalized here to high-resolution quantitative imaging in the presence of bone. The laboratory data are acquired in ~ 12 min and the reconstruction in ~ 24 min—approximately 200 times faster than previously reported simulations in the literature. Such fast reconstructions with real data require careful calibration, adequate data redundancy from a 2D array of 2048 elements and a paraxial approximation. The imaging results show that tissue surrounding the high impedance region is artifact free and has correct speed of sound at sub-mm resolution.

show abstract

Quantitative transmission ultrasound tomography: Imaging and performance characteristics

Cited by 54 publications

References 29 publications

Zone-Shrinking Fresnel Zone Travel-Time Tomography for Sound Speed Reconstruction in Breast USCT

Zone-Shrinking Fresnel Zone Travel-Time Tomography for Sound Speed Reconstruction in Breast USCT

Quantitative assessment of breast density using transmission ultrasound tomography

Full wave 3D inverse scattering transmission ultrasound tomography in the presence of high contrast

Contact Info

Product

Resources

About