Ultrasonic Nakagami visualization of HIFU-induced thermal lesions

Li, Menglin; Li, Dai-Wei; Liu, Hao-Li; Lin, Ming-Shi

doi:10.1109/ultsym.2010.5935613

Cited by 10 publications

(8 citation statements)

References 7 publications

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“…This absolute difference map is displayed in a linear scale with a dynamic range from 0 to 1. It was found that the absolute difference map shows better contrast between the thermal lesions and the background than the indices used in our preliminary work 37 and the Rangraz et al study. 38 The size of the sliding window for Nakagami parameter estimation is important for the spatial resolution of Nakagami imaging and the stable estimation of the Nakagami parameter.…”

Section: Nakagami Imagingcontrasting

confidence: 37%

“…36 Our preliminary study showed that it is feasible to use Nakagami imaging to visualize HIFU-induced thermal lesions in porcine livers. 37 Rangraz et al . repeated our preliminary work in porcine muscle tissues and proposed two indices different from those in our preliminary work for thermal lesion detection; however, in their results, there was no significant difference between the pre- and postablation Nakagami parameters for porcine muscle tissue.…”

Section: Introductionmentioning

confidence: 99%

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Ultrasonic Nakagami Imaging of High-intensity Focused Ultrasound-induced Thermal Lesions in Porcine Livers: Ex Vivo Study

Huang

Liu

et al. 2018

Ultrason Imaging

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High-intensity focused ultrasound (HIFU) has demonstrated the capacity to be used for local thermal ablation in clinical surgery; however, relying solely on conventional ultrasound B-mode imaging to monitor HIFU thermal ablation and determine ablation levels remains a challenge. Here, we experimentally demonstrate the ability to use Nakagami imaging to monitor HIFU-induced thermal lesions in porcine livers ex vivo. Ultrasonic Nakagami imaging has been proven to be able to characterize tissues with different scatterer concentrations and distributions. The pathological sections from HIFU thermally ablated porcine liver tissues reveal that normal and denatured tissues significantly differ in scatterer concentration and distribution. Therefore, we believe that Nakagami imaging can be used to monitor thermal ablation by tracing Nakagami parameter changes in liver tissues. The ex vivo porcine liver experiments were performed using a homemade HIFU device synchronized with a commercial diagnostic ultrasound scanner to obtain the ultrasound envelope data before and after thermal ablation. These data were used to evaluate the performance of thermal lesion characterization using Nakagami imaging and were compared with those derived from conventional B-mode imaging. Experimental results showed that Nakagami imaging can be used to identify thermal lesions, which are difficult to visualize using conventional B-mode imaging because there is no apparent bubble formation. In cases with apparent bubble formation, Nakagami imaging could provide a more accurate estimation of lesion size and position. In addition, the Nakagami imaging algorithm is characterized by low computational complexity, which means it can be easily integrated as postprocessing for existing array imaging systems.

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Section: Nakagami Imagingcontrasting

confidence: 37%

Section: Introductionmentioning

confidence: 99%

Ultrasonic Nakagami Imaging of High-intensity Focused Ultrasound-induced Thermal Lesions in Porcine Livers: Ex Vivo Study

Huang

Liu

et al. 2018

Ultrason Imaging

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“…11 Recently, various research groups have reported that the Nakagami image comprises local Nakagami parameters that provide information on acoustical structures to complement the B-scan for tissue characterization. [12][13][14][15] According to the above literatures' review, Nakagami imaging may be a novel ultrasound tool for mapping the scatterer properties of liver tissue to identify the FLD stage. However, prior to a formal clinical investigation, clarifying the effects of fatty infiltration in human livers on the Nakagami statistics is necessary.…”

Section: Introductionmentioning

confidence: 99%

Effects of fatty infiltration in human livers on the backscattered statistics of ultrasound imaging

Wan

Tai

et al. 2015

Proc Inst Mech Eng H

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Ultrasound imaging has been widely applied to screen fatty liver disease. Fatty liver disease is a condition where large vacuoles of triglyceride fat accumulate in liver cells, thereby altering the arrangement of scatterers and the corresponding backscattered statistics. In this study, we used ultrasound Nakagami imaging to explore the effects of fatty infiltration in human livers on the statistical distribution of backscattered signals. A total of 107 patients volunteered to participate in the experiments. The livers were scanned using a clinical ultrasound scanner to obtain the raw backscattered signals for ultrasound B-mode and Nakagami imaging. Clinical scores of fatty liver disease for each patient were determined according to a well-accepted sonographic scoring system. The results showed that the Nakagami image can visualize the local backscattering properties of liver tissues. The Nakagami parameter increased from 0.62 ± 0.11 to 1.02 ± 0.07 as the fatty liver disease stage increased from normal to severe, indicating that the backscattered statistics vary from pre-Rayleigh to Rayleigh distributions. A significant positive correlation (correlation coefficient ρ = 0.84; probability value (p value) < 0.0001) exists between the degree of fatty infiltration and the Nakagami parameter, suggesting that ultrasound Nakagami imaging has potentials in future applications in fatty liver disease diagnosis.

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“…The window size determines the resolution of the parametric image: a smaller window offers a higher resolution. However, to avoid overestimating the statistical parameter, a window with a size corresponding to several times the spatial resolution of the B-scan is used to capture sufficient data points for calculation2627. Hence, the resolution of statistical parametric images is lower than that of the conventional B-scan.…”

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confidence: 99%

Small-window parametric imaging based on information entropy for ultrasound tissue characterization

Tsui

Chen

Kuo

et al. 2017

Sci Rep

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Constructing ultrasound statistical parametric images by using a sliding window is a widely adopted strategy for characterizing tissues. Deficiency in spatial resolution, the appearance of boundary artifacts, and the prerequisite data distribution limit the practicability of statistical parametric imaging. In this study, small-window entropy parametric imaging was proposed to overcome the above problems. Simulations and measurements of phantoms were executed to acquire backscattered radiofrequency (RF) signals, which were processed to explore the feasibility of small-window entropy imaging in detecting scatterer properties. To validate the ability of entropy imaging in tissue characterization, measurements of benign and malignant breast tumors were conducted (n = 63) to compare performances of conventional statistical parametric (based on Nakagami distribution) and entropy imaging by the receiver operating characteristic (ROC) curve analysis. The simulation and phantom results revealed that entropy images constructed using a small sliding window (side length = 1 pulse length) adequately describe changes in scatterer properties. The area under the ROC for using small-window entropy imaging to classify tumors was 0.89, which was higher than 0.79 obtained using statistical parametric imaging. In particular, boundary artifacts were largely suppressed in the proposed imaging technique. Entropy enables using a small window for implementing ultrasound parametric imaging.

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Ultrasonic Nakagami visualization of HIFU-induced thermal lesions

Cited by 10 publications

References 7 publications

Ultrasonic Nakagami Imaging of High-intensity Focused Ultrasound-induced Thermal Lesions in Porcine Livers: Ex Vivo Study

Ultrasonic Nakagami Imaging of High-intensity Focused Ultrasound-induced Thermal Lesions in Porcine Livers: Ex Vivo Study

Effects of fatty infiltration in human livers on the backscattered statistics of ultrasound imaging

Small-window parametric imaging based on information entropy for ultrasound tissue characterization

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