Segmentation of brain tumors using a semi-automatic computational strategy

Vera, Miguel; Huérfano, Yoleidy; Gelvez, Elkin; Valbuena, Oscar; Salazar, Juan; Molina, Valentín; Vera, Miguel; Salazar, Williams; Sáenz, Frank

doi:10.1088/1742-6596/1160/1/012002

Cited by 1 publication

(1 citation statement)

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“…On the other hand, advances in diagnostic medical imaging techniques [7], segmentation algorithms [8], [9], numerical methods for studying complex biological systems [10], [11], and capacity Growing computer equipment has marked the development of personalized medicine, once tools have been obtained to investigate the anatomical and functional complexities of patients. Diagnostic techniques such as computed tomography (CT) and magnetic resonance imaging (MRI) are important because they promote the development of personalized medicine based on the individual's profi le, and not on the disease [12], [13].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of damage to the lumbar spine vertebrae L5 by finite element analysis

2019

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Bone metastasis to the spine, pelvis or hip in patients with prostate cancer is a pathology that occurs in approximately 80% of cases. Metastases in the spine can cause pain, instability and neurological injuries. Therefore, it is relevant to evaluate when critical conditions have been reached and the structural integrity of the bone is compromised. Numerical methods based on patient data, obtained through post-processing of medical images, provide a tool to model the complexity of the biological tissue material. Computed axial tomography (CT) together with segmentation tools allows the reconstruction of 3D bone models that include mechanical properties, and that represents the anisotropic condition of bone structures. In this work, we present the L5 lumbar vertebra model of a patient affected by metastases and evaluate biomarkers to indicate the level of damage, compared with the reference case of healthy bone in an initial stage.

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