In this research, image features' values were obtained using textural analysis. CCTA images of the thoracic vertebra of patients of different ages were analyzed using qMaZda software. The correlation between features' values and the age of the person was determined using Spearman and Pearson ...
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Development of individual identification method using thoracic vertebral features as biometric fingerprints. Sci. Rep.12 (1). https://doi.org/10.1038/s41598-022-20748-w (2022). Packhäuser, K. et al. Deep learning-based patient reidentification is able to exploit the biometric nature of ...
Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior[paper] Deep Learning Based Rib Centerline Extraction and Labeling[paper] Magnetic Resonance Imaging (MRI) 2016 Medical Image Synthesis with Context-aware Generative Adversarial Networks[paper] ...
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MR images in a 69-year-old woman with cervical and thoracic back pain. Globally increased ASL signal intensity due to artifact. C2 metastasis in a 60-year-old male patient with renal cell carcinoma. Short-interval follow-up cervical MR imaging of a 67-year-old male ASIA A patient with SC...
Here, we investigate the relations between bone volume and structure for the trabecular bone using 3D μCT images taken from different skeletal sites in vitro, namely from the distal radii (96 specimens), thoracic (73 specimens) and lumbar vertebrae (78 specimens). We determine the local ...
Therefore, we aimed to use the R-CNN architecture to train the network model to directly identify many bony structures, including lumbar and thoracic vertebrae in frontal and lateral X-ray images in a single step, thereby achieving the initial positioning of the statistical spine model. Thus, ...
Automatic segmentation of 3D vertebrae is a challenging task in medical imaging. In this paper, we introduce a total variation (TV) based framework that incorporates an a priori model, i.e., a vertebral mean shape, image intensity and edge information. The algorithm was evaluated using leave-...
In thorax scans: cranial sternum, caudal xiphoid process, caudal plate of thoracic vertebrae #12, sacral promontory, caudal os coccygis. The positions of slices are defined in a standard model ∈ [0; 1]. All experiments were conducted using a leave-one-out scheme on each of the 97 scans...