The Value of CT 3D Reconstruction in the Classification and Nursing Effect Evaluation of Ankle Fracture

Xue, Pan; Xue, Chunyu; Chen, Si; Shi, Yuanyuan

doi:10.1155/2021/9596518

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…These techniques find wide applications in the field of rehabilitation. 7,8 Currently, in clinical practice, 3D measurements of medical images often require importing the images into specialized software for reconstruction and then importing the reconstructed 3D models into computer measurement software. Throughout this process, multiple software tools are typically used.…”

Section: Introductionmentioning

confidence: 99%

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An automatic measurement method for ankle key angles based on point cloud segmentation network

Chang,

Sun,

Guo

et al. 2023

Int J Imaging Syst Tech

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In clinical practice, anterior distal tibialangle (ADTA) and lateral distal tibialangle (LDTA) are important evaluation indexes, which can reflect the degree of deformity and determine the type of deformity to a certain extent. The measurement process of these parameters involves the localization of multiple key regions. To simplify the process of measuring ADTA and LDTA, an automatic measurement method is proposed. First, this study constructs an ankle 3D point cloud dataset by 3D reconstruction of ankle electron computed tomography (CT) data, and then, an ankle point cloud segmentation network with a Self‐Attention mechanism and kernel point convolution combined with each other is constructed, and the ankle point cloud data with labels are input to this network to predict the ankle bone feature points. Finally, the segmented feature points are fitted, and the tibial backbone axis and distal tibial articular surface can be drawn, and based on the fitting results, ADTA and LDTA are obtained. Compared with manual measurements by physicians, the proposed method in this study achieved an average error of 0.46° with a passing rate of 97.7% for ADTA measurement. For LDTA measurement, the average error was 0.69° with a passing rate of 98%. The ankle joint key angle measurement system developed in this study meets the accuracy requirements of orthopedics and significantly reduces the workload for doctors.

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Section: Introductionmentioning

confidence: 99%

“…Tasks such as classification, segmentation, and object detection based on medical point cloud data can assist doctors in more accurate diagnosis and treatment. These techniques find wide applications in the field of rehabilitation 7,8 …”

Section: Introductionmentioning

confidence: 99%

An automatic measurement method for ankle key angles based on point cloud segmentation network

Chang,

Sun,

Guo

et al. 2023

Int J Imaging Syst Tech

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A Spine Segmentation Method under an Arbitrary Field of View Based on 3D Swin Transformer

Zhang,

Ji,

Liu

et al. 2023

International Journal of Intelligent Systems

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High-precision image segmentation of the spine in computed tomography (CT) images is important for the diagnosis of spinal diseases and surgical path planning. Manual segmentation is often tedious and time consuming. Thus, an automatic segmentation algorithm is expected to solve this problem. However, because different areas are scanned, the number of spines in the original CT image and the coverage area are often different, making it extremely difficult to directly conduct a fully autonomous spine segmentation. In this study, we propose a two-stage automatic spine segmentation method based on 3D Swin Transformer. In the first stage, the 3D Swin-YoloX algorithm is used to achieve an accurate positioning of each spine segment in the CT images. In the second stage, 3D Swin-UNet is used to achieve a high-precision segmentation of the spine. Using an open dataset, the average Dice of our approach can reach 0.942 and the average Hausdorff distance can reach 6.24, indicating a higher accuracy in comparison with other published methods. Our proposed method can effectively eliminate any adverse effects of the different scanning areas on a spinal image segmentation and has a high application value.

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Computed tomography three-dimensional reconstruction in the diagnosis of bleeding small intestinal polyps: A case report

Zhang,

Fan,

Chen

et al. 2024

World J Clin Cases

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BACKGROUND Computed tomography (CT) small bowel three-dimensional (3D) reconstruction is a powerful tool for the diagnosis of small bowel disease and can clearly show the intestinal lumen and wall as well as the outside structure of the wall. The horizontal axis position can show the best adjacent intestinal tube and the lesion between the intestinal tubes, while the coronal position can show the overall view of the small bowel. The ileal end of the localization of the display of excellent, and easy to quantitative measurement of the affected intestinal segments, the sagittal position for the rectum and the pre-sacral lesions show the best, for the discovery of fistulae is also helpful. Sagittal view can show rectal and presacral lesions and is useful for fistula detection. It is suitable for the assessment of inflammatory bowel disease, such as assessment of disease severity and diagnosis and differential diagnosis of the small bowel and mesenteric space-occupying lesions as well as the judgment of small bowel obstruction points. CASE SUMMARY Bleeding caused by small intestinal polyps is often difficult to diagnose in clinical practice. This study reports a 29-year-old male patient who was admitted to the hospital with black stool and abdominal pain for 3 months. Using the combination of CT-3D reconstruction and capsule endoscopy, the condition was diagnosed correctly, and the polyps were removed using single-balloon enteroscopy-endoscopic retrograde cholangiopancreatography without postoperative complications. CONCLUSION The role of CT-3D in gastrointestinal diseases was confirmed. CT-3D can assist in the diagnosis and treatment of gastrointestinal diseases in combination with capsule endoscopy and small intestinal microscopy.

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The Value of CT 3D Reconstruction in the Classification and Nursing Effect Evaluation of Ankle Fracture

Cited by 3 publications

References 7 publications

An automatic measurement method for ankle key angles based on point cloud segmentation network

An automatic measurement method for ankle key angles based on point cloud segmentation network

A Spine Segmentation Method under an Arbitrary Field of View Based on 3D Swin Transformer

Computed tomography three-dimensional reconstruction in the diagnosis of bleeding small intestinal polyps: A case report

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