In-vivo imaging results with ultrasound tomography: report on an ongoing study at the Karmanos Cancer Institute

A population of 165 women with negative mammographic screens also received an ultrasound tomography (UST) exam at the Karmanos Cancer Institute (KCI) in Detroit, MI. Standard statistical techniques were employed to measure the associations between the various mammographic and UST related density measures and various participant characteristics such as age, weight and height. The Mammographic percent density (MPD) was found to have similar strength associations with UST mean sound speed (Spearman coefficient, rs = 0.722, p < 0.001) and UST median sound speed (rs = 0.737, p < 0.001). Both were stronger than the associations between MPD with two separate measures of UST percent density, a k-means (rs = 0.568, p < 0.001) or a threshold (rs = 0.715, p < 0.001) measure. Segmentation of the UST sound speed images into dense and non-dense volumes showed weak to moderate associations with the mammographically equivalent measures. Relationships were found to be inversely and weakly associated between age and the UST mean sound speed (rs = −0.239, p = 0.002), UST median sound speed (rs = −0.226, p= 0.004) and MPD (rs = −0.204, p= 0.008). Relationships were found to be inversely and moderately associated between BMI and the UST mean sound speed (rs = −0.429, p < 0.001), UST median sound speed (rs = −0.447, p < 0.001) and MPD (rs = −0.489, p < 0.001). The results confirm and strengthen findings presented in previous work indicating that UST sound speed imaging yields viable markers of breast density in a manner consistent with mammography, the current clinical standard. These results lay the groundwork for further studies to assess the role of sound speed imaging in risk prediction.

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“…2005, Duric, et al 2010). In UST, sound waves are used to measure the reflection and transmission properties of breast tissue (Li, et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Using Speed of Sound Imaging to Characterize Breast Density

Sak

Duric

Littrup

et al. 2017

Ultrasound in Medicine & Biology

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“…3D adaption of TVAL3, using total variation minimization is employed for optimization. Refer to [2] for a more detailed description.…”

Section: E Image Reconstruction Methodsmentioning

confidence: 99%

“…Currently, the first 2D and 2.5D systems have become available for clinical evaluation [2,3]. Usually USCT systems implement unfocused ultrasound emission and reception to reconstruct optimally focused reflection images by synthetic aperture postbeamforming.…”

Section: Introductionmentioning

confidence: 99%

First results of a clinical study with 3D ultrasound computer tomography

Ruiter

Zapf

Dapp

et al. 2013

2013 IEEE International Ultrasonics Symposium (IUS)

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Figure 1. Left: KIT 3D USCT. Top right: Transducer aperture. Bottom right: 0.07 mm metal thread, photo (left) and maximum intensity projection of a reconstruction (right).Abstract-The KIT 3D USCT was tested in a pilot study on ten patients. The primary goals of the pilot study were to test the USCT device, the data acquisition protocols, the image reconstruction methods and the image fusion techniques in a clinical environment. The study was conducted successfully; the data acquisition could be carried out for all patients with an average imaging time of six minutes per breast. First reconstructions provide promising images. Overlaid volumes of the modalities show qualitative and quantitative information at a glance. The results led to further optimization of the system and the data acquisition protocol.

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“…Speed-of-sound (SoS) ultrasound computed tomography (USCT) is a promising image modality, which generates maps of speed of sound in tissue as an imaging biomarker. Potential clinical applications are differentiation of breast tumorous lesions [3], breast density assessment [15,13], staging of musculoskeletal [11] and non-alcoholic fatty liver disease [7], amongst others. For this, a set of time of flight (ToF) measurements through the tissue between pairs of transmit/receive elements of an ultrasonic array can be used for a tomographic reconstruction.…”

Section: Introductionmentioning

confidence: 99%

Image Reconstruction via Variational Network for Real-Time Hand-Held Sound-Speed Imaging

Vishnevskiy

Sanabria

Göksel

2018

Machine Learning for Medical Image Reconstruction

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Speed-of-sound is a biomechanical property for quantitative tissue differentiation, with great potential as a new ultrasound-based image modality. A conventional ultrasound array transducer can be used together with an acoustic mirror, or so-called reflector, to reconstruct sound-speed images from time-of-flight measurements to the reflector collected between transducer element pairs, which constitutes a challenging problem of limited-angle computed tomography. For this problem, we herein present a variational network based image reconstruction architecture that is based on optimization loop unrolling, and provide an efficient training protocol of this network architecture on fully synthetic inclusion data. Our results indicate that the learned model presents good generalization ability, being able to reconstruct images with significantly different statistics compared to the training set. Complex inclusion geometries were shown to be successfully reconstructed, also improving over the prior-art by 23% in reconstruction error and by 10% in contrast on synthetic data. In a phantom study, we demonstrated the detection of multiple inclusions that were not distinguishable by prior-art reconstruction, meanwhile improving the contrast by 27% for a stiff inclusion and by 219% for a soft inclusion. Our reconstruction algorithm takes approximately 10 ms, enabling its use as a real-time imaging method on an ultrasound machine, for which we are demonstrating an example preliminary setup herein.

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In-vivo imaging results with ultrasound tomography: report on an ongoing study at the Karmanos Cancer Institute

Cited by 29 publications

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Using Speed of Sound Imaging to Characterize Breast Density

Using Speed of Sound Imaging to Characterize Breast Density

First results of a clinical study with 3D ultrasound computer tomography

Image Reconstruction via Variational Network for Real-Time Hand-Held Sound-Speed Imaging

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