Damage Assessment of Spinal Bones due to Prostate Cancer

Parra, Sergio Andrés Ardila; González‐Estrada, Octavio Andrés; Méndez, Jabid Eduardo Quiroga

doi:10.4028/www.scientific.net/kem.774.149

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…Likewise, the uncertainty associated with the management of diagnostic images must be taken into account. However, differences of up to 13.43% can be observed, in the case of the second eigenvalue [17] in Table 1.…”

Section: Resultsmentioning

confidence: 94%

“…Three-dimensional models can provide a wealth of useful information that helps doctors determine the state of a bone or even an organ [10]. In the case of vertebra metastasis, it is possible to obtain a 3D model of bone structures using segmentation tools from the images of sagittal, coronal and axial sections of a CT scan, [17], [18]. Subsequently, numerical methods can be used to detect changes in the bone and assess its structural integrity [15], [16].…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Resultsmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

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

2019

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Comparison of segmentation tools for structural analysis of bone tissues by finite elements

Arguello

Acevedo

González‐Estrada

2019

J. Phys.: Conf. Ser.

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Medical image segmentation is one of the bases of development in the field of personalized medicine, which allows the reconstruction of parts of the human body to produce virtual models by classifying pixels to create a surface or volume with similar properties. This work is focused on image segmentation through open-source software for bone structure analysis using the finite element method. According to this approach, the aim of this study is to investigate the sequential process, based on the features and requirements of the reconstruction software, to assess the segmentation tools and provide a comparative analysis. The methodology focuses on the software that has been documented for the anatomical reconstruction of organs and tissues, accounting for algorithms of manual, semi-automatic and automatic handling. Three segmentation packages are analyzed: 3D Slicer with a semi-automatic process called Region Growing, ITK-Snap with its interactive mechanism Active Contour segmentation mode, and, finally, In Vesalius with its automatic segmentation technique that identifies types of tissues and a simplified user-machine interface. A comparison is proposed based on the ease of the workflow, time for completion, the robustness of the tool, and precision of the semi-automatic and automatic methods, as opposed to the manual process, by statistic deviations and volume error obtained with Cloud Compare. The segmentation of a vertebra obtained from a DICOM© file in a computerized axial tomography was completed, and performance indicators were evaluated. The results showed that 3D Slicer - Grow from seeds is the best option to make the segmentation with a 9.59% of volume error and the fastest process among others.

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Damage Assessment of Spinal Bones due to Prostate Cancer

Cited by 2 publications

References 23 publications

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

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

Comparison of segmentation tools for structural analysis of bone tissues by finite elements

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