Pubblicazioni

Autori:

Ferrari, Sandro; Tagliabue, Eleonora; Maris, Bogdan Mihai; Fiorini, Paolo

Titolo:

Autonomous Robotic System for Breast Biopsy With Deformation Compensation

Anno:

2023

Tipologia prodotto:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Lingua:

Inglese

Formato:

Elettronico

Referee:

Sì

Nome rivista:

IEEE ROBOTICS AND AUTOMATION LETTERS

ISSN Rivista:

2377-3766

N° Volume:

8

Numero o Fascicolo:

3

Intervallo pagine:

1215-1222

Parole chiave:

Autonomous robots, computer vision in medical robotics, force control, medical robotics, medical simulation

Breve descrizione dei contenuti:

Image-guided biopsy is the most common technique for breast cancer diagnosis. Although magnetic resonance imaging (MRI) has the highest sensitivity in breast lesion detection, ultrasound (US) biopsy guidance is generally preferred due to its non-invasiveness and real-time image feedback during the insertion. In this work, we propose an autonomous robotic system for US-guided biopsy of breast lesions identified on pre-operative MRI. After initial MRI to breast registration, the US probe attached to the robotic manipulator compresses the breast tissues until a pre-determined force level is reached. This technique, known as preloading, will allow to minimize lesion displacement during the needle insertion. Our workflow integrates a deformation compensation strategy based on patient-specific biomechanical model to update the US probe orientation keeping the target lesion on the US image plane during compression. By relying on a deformation model, the proposed system does not require lesion visibility on US. Experimental evaluation is performed to assess the performance of the system on a realistic breast phantom with 15 internal lesions, considering different preloading forces. The deformation compensation strategy allows to improve localization accuracy, and as a consequence final probe positioning, for all considered lesions. Median lesion localization error is 3.3 mm, which is lower than the median lesion radius, when applying a preloading of 2 N, which guarantees both minimal needle insertion error and tissue stress.

Pagina Web:

https://ieeexplore.ieee.org/abstract/document/10018406

Id prodotto:

131606

Handle IRIS:

11562/1084087

ultima modifica:

9 marzo 2024

Citazione bibliografica:

Ferrari, Sandro; Tagliabue, Eleonora; Maris, Bogdan Mihai; Fiorini, Paolo, Autonomous Robotic System for Breast Biopsy With Deformation Compensation «IEEE ROBOTICS AND AUTOMATION LETTERS» , vol. 8 , n. 3 , 2023 , pp. 1215-1222

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