Ultrasound Acoustic Radiation Force Impulse imaging for High Intensity Focused Ultrasound focal spot localization

Cafarelli, Andrea; Chanel, Laure-Anais; Bartolo, F. Di; Locteau, H.; Tognarelli, Selene; Dumont, Erik; Menciassi, Arianna

doi:10.1109/embc.2018.8513591

Cited by 7 publications

(7 citation statements)

References 18 publications

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“…e signal coherence was measured by the phase information of ultrasound echo data to obtain a coherent factor value, so as to avoid the focusing error caused by signal coherence [11]. Besides, coherence factor was expressed as follows:…”

Section: Multioperator Ultrasound Imaging Algorithmmentioning

confidence: 99%

Minimum Variance Algorithm-Based Correlation Analysis between Body Mass Index and the Malignant Degree of Prostate Cancer Mediated under Ultrasound Images

Wei

Zhu

Chen

et al. 2021

Scientific Programming

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This study was to explore the correlation between the malignant degree of prostate cancer (PCa) and body mass index (BMI) mediated by ultrasound images under multioperator algorithm (MOA) based on minimum variance (MV) algorithm. MOA was established by optimizing the smoothing technique and diagonal loading algorithms of MV, and its quality and processing speed of ultrasound images were compared with other algorithms. Ninety two patients were selected as the subjects investigated, who had transrectal prostate biopsy mediated by ultrasound to be diagnosed as PCa in the hospital. Based on Gleason score and prostate specific antigen (PSA) value, all patients were divided into a high-risk PCa group (a high-risk group) and a non-high-risk PCa group (a non-high-risk group). The proportion of obese patients in the two groups was compared. The logistic regression analysis method was applied to analyze related factors of PCa development, and Pearson correlation was for analyzing the correlation between Gleason score and BMI of patients. The results showed that the number of patients in the high-risk group was greater than that of the non-high-risk group ( P < 0.05), while the proportion of nonobese patients in the non-high-risk group was markedly higher than that of the higher-risk group ( P < 0.01). Both PSA and BMI were obviously correlated with the development of high-risk PCa ( P < 0.05), and there was an extreme positive correlation between BMI and Gleason score (r = 0.661 and P = 0.007). It indicated that MOA was established based on conventional MV, which could increase the ultrasonic image quality and calculation speed. Besides, BMI was a risk factor of high-risk PCa and was positively correlated with malignant degree of PCa, which provided a referable evidence for clinical evaluation of malignant degree of PCa.

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Section: Multioperator Ultrasound Imaging Algorithmmentioning

confidence: 99%

Minimum Variance Algorithm-Based Correlation Analysis between Body Mass Index and the Malignant Degree of Prostate Cancer Mediated under Ultrasound Images

Wei

Zhu

Chen

et al. 2021

Scientific Programming

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“…A US probe (PA7-4/12, Analogic Ultrasound), placed confocally to the focused ultrasound transducer, was used as a guide for the correct positioning of the transducer focal point. Indeed, the dimensions of the focal spot are around 2-3 mm (Cafarelli et al, 2018), so the US beam can be easily focused on the sliding top (10 × 12.5 mm).…”

Section: Device Testing Radiation Force Measurementmentioning

confidence: 99%

“…It is worth mentioning that the focused ultrasound transducer used in this test was a 120 mm diameter annular phased array transducer (Cafarelli et al, 2018) able to electronically steer the focus of a few cm, from its geometrical natural focus (i.e., 100 mm), along the main axis. Targets at different depths (e.g., very superficial ones) could be also targeted by using focused ultrasound transducers with a different size and geometry.…”

Section: Validation With Tissue-mimicking Phantomsmentioning

confidence: 99%

Pulsatile Drug Delivery System Triggered by Acoustic Radiation Force

Ciancia

Cafarelli

Zahoranová

et al. 2020

Front. Bioeng. Biotechnol.

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Since biological systems exhibit a circadian rhythm (24-hour cycle), they are susceptible to the timing of drug administration. Indeed, several disorders require a therapy that synchronizes with the onset of symptoms. A targeted therapy with spatially and temporally precise controlled drug release can guarantee a considerable gain in terms of efficacy and safety of the treatment compared to traditional pharmacological methods, especially for chronotherapeutic disorders. This paper presents a proof of concept of an innovative pulsatile drug delivery system remotely triggered by the acoustic radiation force of ultrasound. The device consists of a case, in which a drug-loaded gel can be embedded, and a sliding top that can be moved on demand by the application of an acoustic stimulus, thus enabling drug release. Results demonstrate for the first time that ultrasound acoustic radiation force (up to 0.1 N) can be used for an efficient pulsatile drug delivery (up to 20 µg of drug released for each shot).

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“…Recently, preliminary studies have tried this ARFI method for predicting the HIFU focus, by inducing tissue motion with the HIFU transducer and estimating the motion with the ultrasound imaging. [22][23][24] The most crucial factor in the ARFI method is the motion detection technique which is typically realized with the autocorrelation algorithm. 25,26 Although the autocorrelation algorithm has been well tested in applications of measuring blood flow and tissue motion for decades, the situation in HIFU therapy is different.…”

Section: Introductionmentioning

confidence: 99%

Technical note: Evaluation of the acoustic radiation force imaging for predicting HIFU focus with in vitro and ex vivo experiments

et al. 2023

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BackgroundHigh‐intensity focused ultrasound (HIFU) is currently used for the treatment of various diseases, but it still lacks a reliable technique in the preoperative stage to accurately place its “energy blade” onto diseased targets. Acoustic radiation force imaging (ARFI) was recently introduced to tackle this issue, but its applicability and limitations were not clear.PurposeThe aim of this study was to evaluate the performance of ARFI method in prediction of HIFU focal location at the preoperative stage.MethodsA point spread function (PSF) localization method, which was borrowed from the ultrasound super resolution field, was used to validate the core autocorrelation‐based motion estimation algorithm in the ARFI procedure. Accuracy of the ARFI method for estimating the HIFU focus were tested with in vitro and ex vivo experiments with a clinically equivalent HIFU system. Comparisons were made between the estimated focal locations and those of the damaged area after the testing objects were cut open.ResultsResults showed that the PSF localization was able to serve as a validating method for motion detection only when the tissue displacement was large. With the ARFI method, location of the HIFU focus could be accurately predicted by a 2D motion map preoperatively, and the axial spatial errors were less than 0.5 mm. However, the derived 2D motion maps can only be valuable when the acoustic stimulation in ARFI were strong enough, which was probably due to the fact that the HIFU focal locations were at large depths and the ultrasound imaging signal had low signal to noise ratio.ConclusionThe ARFI method was indeed an accurate technique for preoperatively predicting HIFU focus in vitro and ex vivo. If clinical applications were to be considered, particularly in deep tissues, efforts might need to be made to improve ability of the ultrasound motion estimation technique.

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Ultrasound Acoustic Radiation Force Impulse imaging for High Intensity Focused Ultrasound focal spot localization

Cited by 7 publications

References 18 publications

Minimum Variance Algorithm-Based Correlation Analysis between Body Mass Index and the Malignant Degree of Prostate Cancer Mediated under Ultrasound Images

Minimum Variance Algorithm-Based Correlation Analysis between Body Mass Index and the Malignant Degree of Prostate Cancer Mediated under Ultrasound Images

Pulsatile Drug Delivery System Triggered by Acoustic Radiation Force

Technical note: Evaluation of the acoustic radiation force imaging for predicting HIFU focus with in vitro and ex vivo experiments

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