Assessment and Improvement of a Novel ultrasound-based 3D Reconstruction Method: Registered for Lumbar Spine

Effatparvar, Mohammad Reza; Pierre, Marc-Olivier St.; Sobczak, Stéphane

doi:10.1007/s40846-022-00764-x

Cited by 4 publications

(4 citation statements)

References 24 publications

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“…An overview of the most commonly used parameters can be found in Figure 3. of the spine from ultrasound images are very similar to CT scan images and are not significantly affected by the posterior fat pad [18]. The method, though promising, is not without limitations.…”

Section: Methods To Quantify Thoracic Deformitymentioning

confidence: 80%

“…Moreover, 3D ultrasound has been recently introduced for 3D bone modelling. Several studies have shown that 3D reconstructions of the posterior elements of the spine from ultrasound images are very similar to CT scan images and are not significantly affected by the posterior fat pad [18]. The method, though promising, is not without limitations.…”

Section: D Spinal Ultrasoundmentioning

confidence: 99%

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Imaging Methods to Quantify the Chest and Trunk Deformation in Adolescent Idiopathic Scoliosis: A Literature Review

San Román Gaitero,

Shoykhet,

Spyrou

et al. 2023

Healthcare

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Background context: Scoliosis is a three-dimensional deformity of the spine with the most prevalent type being adolescent idiopathic scoliosis (AIS). The rotational spinal deformation leads to displacement and deformation of the ribs, resulting in a deformity of the entire chest. Routine diagnostic imaging is performed in order to define its etiology, measure curve severity and progression during growth, and for treatment planning. To date, all treatment recommendations are based on spinal parameters, while the esthetic concerns and cardiopulmonary symptoms of patients are mostly related to the trunk deformation. For this reason, there is a need for diagnostic imaging of the patho-anatomical changes of the chest and trunk in AIS. Aim: The aim of this review is to provide an overview, as complete as possible, of imaging modalities, methods and image processing techniques for assessment of chest and trunk deformation in AIS. Methods: Here, we present a narrative literature review of (1) image acquisition techniques used in clinical practice, (2) a description of various relevant methods to measure the deformity of the thorax in patients with AIS, and (3) different image processing techniques useful for quantifying 3D chest wall deformity. Results: Various ionizing and non-ionizing imaging modalities are available, but radiography is most widely used for AIS follow-up. A disadvantage is that these images are only acquired in 2D and are not effective for acquiring detailed information on complex 3D chest deformities. While CT is the gold standard 3D imaging technique for assessment of in vivo morphology of osseous structures, it is rarely obtained for surgical planning because of concerns about radiation exposure and increased risk of cancer during later life. Therefore, different modalities with less or without radiation, such as biplanar radiography and MRI are usually preferred. Recently, there have been advances in the field of image processing for measurements of the chest: Anatomical segmentations have become fully automatic and deep learning has been shown to be able to automatically perform measurements and even outperform experts in terms of accuracy. Conclusions: Recent advancements in imaging modalities and image processing techniques make complex 3D evaluation of chest deformation possible. Before introduction into daily clinical practice, however, there is a need for studies correlating image-based chest deformation parameters to patient-reported outcomes, and for technological advancements to make the workflow cost-effective.

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Section: Methods To Quantify Thoracic Deformitymentioning

confidence: 80%

Section: D Spinal Ultrasoundmentioning

confidence: 99%

Imaging Methods to Quantify the Chest and Trunk Deformation in Adolescent Idiopathic Scoliosis: A Literature Review

San Román Gaitero,

Shoykhet,

Spyrou

et al. 2023

Healthcare

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“…Effatparvar et al [11] proposed a 3D modeling algorithm based on ultrasound and applied this technology to lumbar spine reconstruction. The reconstruction process of this method is relatively simple, but the reconstruction quality is easily affected by the image quality.…”

Section: Related Workmentioning

confidence: 99%

Research on Three-Dimensional Reconstruction of Ribs Based on Point Cloud Adaptive Smoothing Denoising

Zhu,

Wang,

Chen

et al. 2024

Sensors

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The traditional methods for 3D reconstruction mainly involve using image processing techniques or deep learning segmentation models for rib extraction. After post-processing, voxel-based rib reconstruction is achieved. However, these methods suffer from limited reconstruction accuracy and low computational efficiency. To overcome these limitations, this paper proposes a 3D rib reconstruction method based on point cloud adaptive smoothing and denoising. We converted voxel data from CT images to multi-attribute point cloud data. Then, we applied point cloud adaptive smoothing and denoising methods to eliminate noise and non-rib points in the point cloud. Additionally, efficient 3D reconstruction and post-processing techniques were employed to achieve high-accuracy and comprehensive 3D rib reconstruction results. Experimental calculations demonstrated that compared to voxel-based 3D rib reconstruction methods, the 3D rib models generated by the proposed method achieved a 40% improvement in reconstruction accuracy and were twice as efficient as the former.

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“…Although this method simpli es the steps of CT reconstruction, it is susceptible to noise limitations, resulting in lower accuracy in calculating pelvic tilt. Effatparvar et al [11] proposed an ultrasound-based 3D modeling algorithm to reconstruct the lumbar spine. Although the reconstruction process of this method is relatively simple, the quality of the reconstruction is highly susceptible to the quality of the image.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Reconstruction of Ribs Based on Point Cloud Adaptive Smoothing Denoising

Wang

Chen

et al. 2023

Preprint

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The traditional methods for 3D reconstruction mainly involve using image processing techniques or deep learning segmentation models for rib extraction. After post-processing, voxel-based rib reconstruction is achieved. However, these methods suffer from limited reconstruction accuracy and low computational efficiency. To overcome these limitations, this paper proposes a rib 3D reconstruction method based on point cloud adaptive smoothing and denoising. We convert the voxel data from the CT images to multi-attribute point cloud data. Then, we apply point cloud adaptive smoothing and denoising methods to eliminate noise and non-rib points in the point cloud. Additionally, efficient 3D reconstruction and post-processing techniques are employed to achieve high-accuracy and comprehensive rib 3D reconstruction results. Experimental calculations demonstrate that compared to voxel-based rib 3D reconstruction methods, the rib 3D models generated by the proposed method achieve a 40% improvement in reconstruction accuracy and are twice as efficient as the former.

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Assessment and Improvement of a Novel ultrasound-based 3D Reconstruction Method: Registered for Lumbar Spine

Cited by 4 publications

References 24 publications

Imaging Methods to Quantify the Chest and Trunk Deformation in Adolescent Idiopathic Scoliosis: A Literature Review

Imaging Methods to Quantify the Chest and Trunk Deformation in Adolescent Idiopathic Scoliosis: A Literature Review

Research on Three-Dimensional Reconstruction of Ribs Based on Point Cloud Adaptive Smoothing Denoising

Three-Dimensional Reconstruction of Ribs Based on Point Cloud Adaptive Smoothing Denoising

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