Bone Fracture Detection by Electrical Bioimpedance: Measurements in Ex-Vivo Mammalian Femur

Dell'Osa, A; Concu, Alberto; Dobarro, Fernando; Felice, Jose C.

doi:10.1007/978-981-13-3498-6_30

Cited by 2 publications

(1 citation statement)

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“…In fractures, the proximal bone tissue experiences increased blood flow with local edema due to the inflammatory reaction and the bone's healing process. These events indicate the presence of material diffusion with low electrical resistance in the fractured part [18], [19].…”

Section: Introductionmentioning

confidence: 96%

Bone fracture detection using electrical impedance tomography based on STEMlab Red Pitaya

Ain,

Rahma,

Putra

et al. 2023

IJEECS

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<span>Bone fractures can result in accidents, osteoporosis, bone cancer, or other conditions. X-Ray is a medical imaging technique often used to detect bone fractures. However, X-Rays can have radiation effects that harm patients, health workers, and the environment. Electrical impedance tomography (EIT) is a system that can obtain object images based on the electrical impedance distribution. In bone fractures, the proximal bone tissue experiences increased blood flow with local edema due to the inflammatory reaction which indicates the presence of a high conductivity diffusion material at the fracture location. EIT based on the STEMlab Red Pitaya module can be utilized to detect bone fractures. Red Pitaya serves as a controller, possessing a voltage generator, an oscilloscope, and 16 input/output pins that fulfill most of the EIT functions. To test the EIT-based system’s efficacy, a 3D-printed polylactic acid (PLA)-based bone phantom model was used. This model was placed on a cylindrical phantom filled with water as a substitute for soft tissue. The voltage data then are reconstructed using electrical impedance and diffuse optical reconstruction software (EIDORS), a MATLAB toolbox devoted to image reconstruction from impedance measurement results. The results of the reconstruction demonstrated that EIT based on the Red Pitaya STEMlab module could distinguish between normal bone and fractured bone.</span>

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Section: Introductionmentioning

confidence: 96%