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Quantitative Assessment of Tissue Susceptibility to Boiling Histotripsyтезисы доклада
- Авторы: Ponomarchuk Ekaterina, Krokhmal Alisa, Tyurina Anastasia, Song Minho, Thomas Gilles, Wang Yak-Nam, Khokhlova Vera, Khokhlova Tatiana
- Сборник: ISTU 2022 Abstract Book
- Тезисы
- Год издания: 2022
- Место издания: Toronto, Canada
- Первая страница: 344
- Последняя страница: 345
- Номер статьи: P2-6
- Аннотация: In the context of boiling histotripsy (BH) dose development, quantitative relationshipsbetween the lesion parameters, pulsing protocols, and types of targeted tissue wereinvestigated.Volumetric BH lesions were produced in ex vivo porcine and canine liver and kidneys andbovine heart at 1% duty cycle with 1.5MHz 256-element BH array with varying exposureparameters: 1–10 ms pulses, 5–15 pulses per sonication point (ppp) (Fig.1A,B). Histologicalsections were taken throughout each lesion, stained with Masson’s Trichrome (Fig.1C) andsubjected to a combination of manual and automated segmentation of fully and partiallyliquefied tissue using neural network ResNet-18 (Fig.1D).The developed neural network allowed for segmenting fully and partially liquefied tissuewithin the BH lesion in all considered tissue types with errors, relative to manuallysegmented images, not exceeding 3% of the analyzed image area. Automated segmentationof serial lesion sections and subsequent 3D-reconstruction provided the estimation of thelesion volume, percentage of the volume of intact tissue fragments within the lesion(Fig1.E), and the ablation rate (Fig.1F) for each tissue type and exposure parameter set. Forexample, in porcine liver 1-ms pulses with 5ppp provided the highest ablation rate, and thesensitivity was largely independent of exposure parameters.BH protocols maximizing the ablation rate and the degree of tissue disintegration, weredetermined for ex vivo hepatic, cardiac and renal tissues. Supported by RSF 20-12-00145 and stipends from Nonprofit Foundation for the Development of Science and Education “Intellect”, FUSF Cultivate the Next Generation program and “BASIS” foundation 20-2-10-10-1.
- Добавил в систему: Крохмаль Алиса Александровна