Temperature mapping of thermal ablation using MRI

Samset, Eigil

doi:10.1080/13645700500491005

Cited by 24 publications

(12 citation statements)

References 52 publications

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“…Both algorithms have yielded high accuracy for all power levels in ex-vivo experiments. Although techniques for ablation area mapping have been suggested for MRI and US [27][28][29][30], to the best of our knowledge, this is the first study which attempts to provide automated noninvasive ablation detailed contouring with precise bordering of the ablated zone using X-ray CT. This improves over previous studies results [19][20][21] which provided only partial information such as maximal diameter or average radius.…”

Section: Discussionmentioning

confidence: 99%

Optical flow and image segmentation analysis for noninvasive precise mapping of microwave thermal ablation in X-ray CT scans - ex vivo study

Ziv

Goldberg

Nissenbaum

et al. 2017

International Journal of Hyperthermia

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Section: Discussionmentioning

confidence: 99%

Optical flow and image segmentation analysis for noninvasive precise mapping of microwave thermal ablation in X-ray CT scans - ex vivo study

Ziv

Goldberg

Nissenbaum

et al. 2017

International Journal of Hyperthermia

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“…The temperature sensitivity of the proton resonance frequency (PRF) or the relaxation time T1 is used to monitor the temperature distribution. 20,21 Because of its potential in temperature mapping and excellent soft tissue contrast, 13,22 a large range of applications of magnetic resonance -guided focused ultrasound surgery (MRgFUS) have been demonstrated in the clinical field. 6,8,9,23,24 US would present a number of advantages such as its portability, low-cost, real-time imaging capability, simple integration with the FUS system, and its extensive availability.…”

Section: Introductionmentioning

confidence: 99%

Feasibility of using Nakagami distribution in evaluating the formation of ultrasound-induced thermal lesions

Zhang

Zhou

Wan

et al. 2012

The Journal of the Acoustical Society of America

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The acoustic posterior shadowing effects of bubbles influence the accuracy for defining the location and range of ablated thermal lesions during focused ultrasound surgery when using ultrasonic monitoring imaging. This paper explored the feasibility of using Nakagami distribution to evaluate the ablated region induced by focused ultrasound exposures at different acoustic power levels in transparent tissue-mimicking phantoms. The mean value of the Nakagami parameter m was about 0.5 in the cavitation region and increased to around 1 in the ablated region. Nakagami images were not subject to significant shadowing effects of bubbles. Ultrasound-induced thermal lesions observed in the photos and Nakagami images were overshadowed by bubbles in the B-mode images. The lesion size predicted in the Nakagami images was smaller than that predicted in the photos due to the sub resolvable effect of Nakagami imaging at the interface. This preliminary study on tissue-mimicking phantom suggested that the Nakagami parameter m may have the potential use in evaluating the formation of ultrasound-induced thermal lesion when the shadowing effect of bubbles is strong while the thermal lesion was small. Further studies in vivo and in vitro will be needed to evaluate the potential application.

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“…Both CT and magnetic resonance imaging (MRI) can also be used to monitor ablation progress [7, 8]. However, CT requires ionizing radiation and usually requires contrast injections to achieve adequate contrast between treated and untreated tissues.…”

Section: Introductionmentioning

confidence: 99%

Tumor Boundary Estimation Through Time-Domain Peaks Monitoring: Numerical Predictions and Experimental Results in Tissue-Mimicking Phantoms

Wang

Brace

Converse

et al. 2009

IEEE Trans. Biomed. Eng.

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A method to estimate the boundary of a tumor using an interstitial microwave probe is evaluated in numerical and phantom models. This method utilizes time-domain signal reflection from the tumor/ liver interface to provide information about tumor boundary in both radial and axial directions. Using computational experiments, tumors with radial diameters up to 25 mm were estimated with less than 1 mm error. Axial diameters were estimated with at most 5 mm error. Accuracy seemed to increase with radial diameter, but decrease with axial diameter. Phantom experiments confirmed the computational results. These early results indicate that the proposed method may be used to estimate tumor boundary in both radial and axial dimensions without imaging. The technique may also be applicable in other situations that contain dielectric contrast between a volume of tissue and its background, such as monitoring tumor ablation growth. Additional work is needed to validate and optimize this method in tumor models.

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Temperature mapping of thermal ablation using MRI

Cited by 24 publications

References 52 publications

Optical flow and image segmentation analysis for noninvasive precise mapping of microwave thermal ablation in X-ray CT scans - ex vivo study

Optical flow and image segmentation analysis for noninvasive precise mapping of microwave thermal ablation in X-ray CT scans - ex vivo study

Feasibility of using Nakagami distribution in evaluating the formation of ultrasound-induced thermal lesions

Tumor Boundary Estimation Through Time-Domain Peaks Monitoring: Numerical Predictions and Experimental Results in Tissue-Mimicking Phantoms

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