Novel technology of multimodal ultrasound tomography detects breast lesions

Zografos, George; Koulocheri, Dimitra; Liakou, Paraskevi; Sofras, M.; Hadjiagapis, S.; Orme, M.; Marmarelis, Vasilis Z.

doi:10.1007/s00330-012-2659-z

Cited by 31 publications

(25 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The histopathology reports from the biopsy and subsequent surgery, as well as 18-month follow-up of the patients, were used to evaluate the quality of the MUT diagnostic imaging with respect to lesion detection and lesion differentiation. The results of this evaluation add to previously published results [23][24][25][26][27]32] corroborating the potential utility of MUT for improved detection of small breast lesions and for reliable differentiation of malignant and benign lesions on the basis of a composite index (CI) computed from calibrated measurements of various acoustic attributes (modes) at each tissue voxel/pixel. Specifically, it was found that the maximum CI value within the pixels of each malignant lesion was above 1, corresponding to high values of both refractivity and attenuation.…”

Section: Discussionsupporting

confidence: 82%

“…Using the clinical prototype of Multimodal Ultrasound Tomography (MUT) [32], we collected imaging data from 71 volunteers presenting small (<15 mm in maximum dimension) BIRADS-4 solid mammographic lesions prior to undergoing stereotactic biopsy. The histopathology reports from the biopsy and subsequent surgery, as well as 18-month follow-up of the patients, were used to evaluate the quality of the MUT diagnostic imaging with respect to lesion detection and lesion differentiation.…”

Section: Discussionmentioning

confidence: 99%

“…The clinical MUT prototype and its basic operation have been described in a recent publication [32]. To assist the reader, we summarize below the key operational features [19][20][21][22][23][24].…”

Section: Methodsmentioning

confidence: 99%

“…Another system with some capability for ultrasound tomography (distinct from MUT in its data collection and analysis procedures) has been described in the literature, although no clinical results have yet been reported [31]. The first presentation of initial MUT clinical results was made at the 2011 European Congress of Radiology [23,24], and MUT results from 25 volunteers with large BIRADS-5 lesions (>1 cm) were recently published as an initial demonstration of the efficacy of MUT [32]. This paper is a follow-up study on 71 female volunteers presenting mammographic BIRADS-4 nodules, asymmetries of density, and architectural distortions, who underwent MUT scanning prior to stereotactic biopsy.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Differentiation of BIRADS-4 small breast lesions via Multimodal Ultrasound Tomography

et al. 2014

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Discussionsupporting

confidence: 82%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Differentiation of BIRADS-4 small breast lesions via Multimodal Ultrasound Tomography

et al. 2014

Self Cite

View full text Add to dashboard Cite

show abstract

“…Ultrasound computed tomography (UCT) reconstructs a map of the local speed of sound, based on the arrival time of US pulses that are transmitted through the tissue from various directions. UCT has demonstrated the diagnostic potential of speed of sound imaging as cancer-related changes in tissue composition can be detected with high contrast and spatial resolution [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Towards clinical computed ultrasound tomography in echo-mode: Dynamic range artefact reduction

Jaeger

Frenz

2015

Ultrasonics

View full text Add to dashboard Cite

Computed ultrasound tomography in echo-mode (CUTE) allows imaging the speed of sound inside tissue using hand-held pulse-echo ultrasound. This technique is based on measuring the changing local phase of beamformed echoes when changing the transmit beam steering angle. Phantom results have shown a spatial resolution and contrast that could qualify CUTE as a promising novel diagnostic modality in combination with B-mode ultrasound. Unfortunately, the large intensity range of several tens of dB that is encountered in clinical images poses difficulties to echo phase tracking and results in severe artefacts. In this paper we propose a modification to the original technique by which more robust echo tracking can be achieved, and we demonstrate in phantom experiments that dynamic range artefacts are largely eliminated. Dynamic range artefact reduction also allowed for the first time a clinical implementation of CUTE with sufficient contrast to reproducibly distinguish the different speed of sound in different tissue layers of the abdominal wall and the neck.

show abstract

Tomography across scales: Knowledge transfer from seismology to imaging breast tissue with ultrasound

Martiartu

Boehm

Hapla

et al. 2019

Preprint

View full text Add to dashboard Cite

Wave propagation is extensively used to understand the internal structure of media that are not accessible to direct observations. Seismology and medical ultrasound imaging are good examples of this. The former uses observations of seismic waves at the Earth's surface to increase our knowledge about its interior. This is crucial, for instance, to improve our understanding about the Earth's dynamics and evolution. Medical ultrasound, on the other hand, uses observations of acoustic waves, emitted and recorded at the surface of human bodies, to visualize internal body structures. This has become an essential screening tool, useful for diagnostic examination.This thesis presents an interdisciplinary work between seismology and medical ultrasound. In particular, we focus on transferring knowledge from seismic tomography to Ultrasound Computer Tomography (USCT), an emerging technology that holds great potential for early-stage breast cancer diagnosis. Here, the human breast is surrounded by transducers that collect transmitted and reflected ultrasound signals. This information is then used to obtain 3D quantitative images of acoustic tissue properties, which enable non-invasive tissue characterization and improve the specificity of standard imaging modalities. Current challenges in USCT mostly consist in providing a diagnostic tool with high accuracy (comparable to magnetic resonance imaging) and affordable computational and acquisition cost for clinical practice, the target being a maximum time of 15 minutes per patient. Despite the vastly different scale, seismic and medical ultrasound tomography share fundamental similarities that allow us to address these challenges from the stand point of the seismologist.We first introduce finite-frequency traveltime tomography to medical ultrasound. In addition to being computationally tractable for 3D imaging at high frequencies, the method has two main advantages: (1) It correctly accounts for the frequency dependence and volumetric sensitivity of traveltime measurements, which are related to off-ray-path scattering and diffraction. (2) It naturally enables out-of-plane imaging and the construction of 3D images from 2D slice-by-slice acquisition systems. Our method rests on the availability of calibration data measured in water, used to linearize the forward problem and to provide analytical expressions of cross-correlation traveltime sensitivity. We present a memoryefficient implementation suitable for arbitrarily large-scale domains, and we discuss its extension to amplitude tomography.To adapt existing acquisition systems to new imaging techniques, we then introduce optimal experimental design methods. These provide a systematic and quantitative framework i to (1) evaluate the quality of different designs in terms of uncertainties in the estimated tissue parameters and (2) optimize the configuration with respect to predefined design parameters, for example the position of transducers on the scanning device. Our first application presents a cost-effective 3D configuration o...

show abstract

Novel technology of multimodal ultrasound tomography detects breast lesions

Cited by 31 publications

References 27 publications

Differentiation of BIRADS-4 small breast lesions via Multimodal Ultrasound Tomography

Differentiation of BIRADS-4 small breast lesions via Multimodal Ultrasound Tomography

Towards clinical computed ultrasound tomography in echo-mode: Dynamic range artefact reduction

Tomography across scales: Knowledge transfer from seismology to imaging breast tissue with ultrasound

Contact Info

Product

Resources

About