Iterative simulations to estimate the elastic properties from a series of MRI images followed by MRI-US validation

Francesco Visentin (Corresponding Author), Vincent Groenhuis, Bogdan Maris, Diego Dall'Alba, Françoise Siepel, Stefano Stramigioli, Paolo Fiorini

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Abstract

The modeling of breast deformations is of interest in medical applications such as image-guided biopsy, or image registration for diagnostic purposes. In order to have such information, it is needed to extract the mechanical properties of the tissues. In this work, we propose an iterative technique based on finite element analysis that estimates the elastic modulus of realistic breast phantoms, starting from MRI images acquired in different positions (prone and supine), when deformed only by the gravity force. We validated the method using both a single-modality evaluation in which we simulated the effect of the gravity force to generate four different configurations (prone, supine, lateral, and vertical) and a multi-modality evaluation in which we simulated a series of changes in orientation (prone to supine). Validation is performed, respectively, on surface points and lesions using as ground-truth data from MRI images, and on target lesions inside the breast phantom compared with the actual target segmented from the US image. The use of pre-operative images is limited at the moment to diagnostic purposes. By using our method we can compute patient-specific mechanical properties that allow compensating deformations.
Original languageEnglish
Pages (from-to)913-924
Number of pages12
JournalMedical & biological engineering & computing
Volume57
Issue number4
Early online date27 Nov 2018
DOIs
Publication statusPublished - Apr 2019

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Magnetic resonance imaging
Gravitation
Mechanical properties
Biopsy
Image registration
Medical applications
Elastic moduli
Tissue
Finite element method

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Visentin, Francesco ; Groenhuis, Vincent ; Maris, Bogdan ; Dall'Alba, Diego ; Siepel, Françoise ; Stramigioli, Stefano ; Fiorini, Paolo. / Iterative simulations to estimate the elastic properties from a series of MRI images followed by MRI-US validation. In: Medical & biological engineering & computing. 2019 ; Vol. 57, No. 4. pp. 913-924.
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abstract = "The modeling of breast deformations is of interest in medical applications such as image-guided biopsy, or image registration for diagnostic purposes. In order to have such information, it is needed to extract the mechanical properties of the tissues. In this work, we propose an iterative technique based on finite element analysis that estimates the elastic modulus of realistic breast phantoms, starting from MRI images acquired in different positions (prone and supine), when deformed only by the gravity force. We validated the method using both a single-modality evaluation in which we simulated the effect of the gravity force to generate four different configurations (prone, supine, lateral, and vertical) and a multi-modality evaluation in which we simulated a series of changes in orientation (prone to supine). Validation is performed, respectively, on surface points and lesions using as ground-truth data from MRI images, and on target lesions inside the breast phantom compared with the actual target segmented from the US image. The use of pre-operative images is limited at the moment to diagnostic purposes. By using our method we can compute patient-specific mechanical properties that allow compensating deformations.",
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Iterative simulations to estimate the elastic properties from a series of MRI images followed by MRI-US validation. / Visentin, Francesco (Corresponding Author); Groenhuis, Vincent ; Maris, Bogdan; Dall'Alba, Diego; Siepel, Françoise; Stramigioli, Stefano ; Fiorini, Paolo.

In: Medical & biological engineering & computing, Vol. 57, No. 4, 04.2019, p. 913-924.

Research output: Contribution to journalArticleAcademicpeer-review

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