Stiffness mapping for early detection of breast cancer: combined force and displacement measurements

Special Issue: Imaging-based methods in computational medicine

“…Another inverse problem showcased in this collection is the identification of activation maps of the heart, with implications for intervention This inverse problem is highly sensitive to patient specific geometries and heterogeneous parameter distributions, requiring new methods as shown in Ruiz Herrera et al [10]. Yet another inverse problem in this issue is outlined by Olson and Throne [7], to infer heterogeneous mechanical properties of the breast from optical imaging and indentation data, providing a noninvasive and accessible method for breast cancer identification.…”

“…The musculoskeletal system is the focus of Tajdari et al [15], who created personalized models of spine growth in scoliosis, and that of Crutison and Royston [3], who obtained material parameters from different MR imaging modalities on muscles. Meanwhile, skin [8] and tumors are also studied [7,11].…”