Alessandro Spertini
Multimodal 3D photoacoustic and contrast-enhanced magnetic resonance breast image registration using coordinate-based neural network: a preliminary investigation.
Rel. Kristen Mariko Meiburger, Srirang Manohar, Bruno De Santi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2024
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Abstract
Breast cancer (BC) represents a significant health challenge, being the leading cause of cancer mortality among women in Europe [1]. Various imaging techniques include mammography, magnetic resonance imaging (MRI), and ultrasonography are used for early and accurate diagnosis of the disease. Mammography, though widely used in screening programmes, has high false positive rates, is less effective in women with dense breast tissue, and uses ionizing radiation [1]. MR offers high sensitivity in breast cancer detection but is limited by poor specificity and high cost [1]. Ultrasound serves as an additional tool next to x-ray imaging and often is the only tool in imaging for pregnant and breastfeeding women [1].
Recently, photoacustic (PA) imaging has shown to be a good candidate imaging technique for BC due to its low-cost, the absence of ionizing radiations and being contrast agent-free [2]
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