目的:探讨下颈椎A1型骨折的治疗策略,分析SLIC评分4分患者的治疗争议及骨质疏松对治疗决策的影响。方法:通过系统综述国内外文献,整合AO分型与SLIC评分系统的临床价值,结合生物力学研究及临床病例数据,分析保守治疗与手术干预的适应症,...目的:探讨下颈椎A1型骨折的治疗策略,分析SLIC评分4分患者的治疗争议及骨质疏松对治疗决策的影响。方法:通过系统综述国内外文献,整合AO分型与SLIC评分系统的临床价值,结合生物力学研究及临床病例数据,分析保守治疗与手术干预的适应症,并探讨骨质疏松对预后的作用机制。结果:下颈椎A1型骨折多推荐保守治疗,但SLIC评分4分(合并不完全脊髓损伤)患者治疗存在争议。尤其当此类患者合并骨质疏松时,可通过降低骨强度、加剧椎体塌陷及后凸畸形进展,显著影响保守治疗效果,可能需升级为手术干预(如ACDF)。目前缺乏针对SLIC评分4分合并骨质疏松患者的高质量证据,现有分型系统未充分纳入骨密度参数,生物力学稳定性评估存在局限。结论:SLIC评分4分的下颈椎A1型骨折需结合神经功能、骨密度及椎体形态综合决策,骨质疏松患者应强化抗骨松治疗并动态评估稳定性。未来需开展多中心研究明确手术指征,建立基于骨代谢评估的精准治疗体系。Objective: To investigate the treatment strategies for subaxial cervical A1-type fractures, analyze the treatment controversies in patients with a SLIC score of 4, and explore the impact of osteoporosis on treatment decision-making. Methods: A systematic literature review was conducted to synthesize the clinical utility of the AO Spine classification and SLIC scoring systems. Biomechanical studies and clinical case data were integrated to analyze indications for conservative management versus surgical intervention, with a focus on elucidating the mechanistic role of osteoporosis in prognosis. Results: Conservative treatment remains the primary recommendation for most A1-type fractures. However, significant controversy persists in managing patients with a SLIC score of 4 (associated with incomplete spinal cord injury), particularly when combined with osteoporosis. Osteoporosis exacerbates vertebral collapse and kyphotic progression through reduced bone strength, compromising conservative outcomes and necessitating potential escalation to surgical interventions such as anterior cervical discectomy and fusion (ACDF). Current evidence lacks high-quality studies targeting this subgroup, and existing classification systems inadequately incorporate bone mineral density parameters, limiting biomechanical stability assessments. Conclusions: Therapeutic decision-making for SLIC score 4 A1-type fractures requires a comprehensive evaluation of neurological status, bone density, and vertebral morphology. Osteoporotic patients warrant intensified anti-osteoporotic therapy and dynamic stability assessments. Future multicenter studies are imperative to refine surgical indications and establish a precision-based treatment framework incorporating bone metabolic profiling.展开更多
针对简单线性迭代聚类(Simple Linear Iterative Clustering,SLIC)算法对不同图像自适应性差的问题,提出了一种基于皮尔森相关系数的自适应SLIC超像素图像分割算法。首先,通过量化非间隔进行图像预处理,并计算颜色熵作为图像复杂度,从...针对简单线性迭代聚类(Simple Linear Iterative Clustering,SLIC)算法对不同图像自适应性差的问题,提出了一种基于皮尔森相关系数的自适应SLIC超像素图像分割算法。首先,通过量化非间隔进行图像预处理,并计算颜色熵作为图像复杂度,从而确定所需分割的超像素个数。其次,利用皮尔森相关系数作为相似性度量函数。最后,通过纹理特征对类内异常点进行滤除,确保种子点更新的准确性。实验结果表明,在超像素个数相同的情况下,基于皮尔森相关系数的自适应SLIC超像素图像分割算法相比主流超像素分割算法,可以获得更高的边缘命中率以及更低的欠分割率,性能优于LSC(Linear Spectral Clustering)、SLIC和SLIC0(Simple Linear Iterative Clustering Zero)算法。展开更多
针对传统船舶图像去噪算法难以对图像的边缘细节进行保留和分析,以及传统非局部均值去噪算法相似框选择困难等问题,提出基于简单线性迭代聚类(simple linear iterative clustering,SLIC)超像素分割的非局部均值船舶图像去噪算法。通过S...针对传统船舶图像去噪算法难以对图像的边缘细节进行保留和分析,以及传统非局部均值去噪算法相似框选择困难等问题,提出基于简单线性迭代聚类(simple linear iterative clustering,SLIC)超像素分割的非局部均值船舶图像去噪算法。通过SLIC算法对图像进行分割处理,界定图像的纹理区域和平滑区域;使用相似框搜索和匹配策略,提升匹配效果,并适当保留更多边缘细节,从而改善图像去噪的效果。实验结果表明,所提出的算法相较于其他传统的船舶图像去噪算法不仅能很好地保留船舶图像的边缘细节特点,而且能在一定程度上提高船舶图像的峰值信噪比,具有良好的去噪效果,可以用于智能航海领域船舶图像的去噪。展开更多
针对SLIC(Simple Linear Iterative Clustering)算法在超像素聚类过程中耗时较长的缺陷,提出一种基于快速SLIC的图像超像素算法。该算法首先剔除在颜色空间上与聚类中心相似度较低的像素,从而仅用部分近邻像素更新聚类中心,以确保聚类...针对SLIC(Simple Linear Iterative Clustering)算法在超像素聚类过程中耗时较长的缺陷,提出一种基于快速SLIC的图像超像素算法。该算法首先剔除在颜色空间上与聚类中心相似度较低的像素,从而仅用部分近邻像素更新聚类中心,以确保聚类中心快速达到稳定并阻止误差传播,提高边缘命中率;其次,在初始化网格后,将每个超像素的边缘像素视为不稳定像素,将超像素的非边缘像素视为稳定像素并保持稳定像素的类别不变;最后,通过对不稳定像素进行迭代标记来实现快速超像素图像分割。在MATLAB环境下分别对所提算法与6种对比算法进行测试,在超像素个数相同的情况下,所提算法在BSD500数据集上与经典的SLIC算法相比分割误差率降低5%,分割精度提高0.5%,运行时间减少0.18 s。实验结果表明,与主流的超像素算法相比,所提算法在提升超像素分割质量的同时能够有效降低算法的计算复杂度。展开更多
文摘目的:探讨下颈椎A1型骨折的治疗策略,分析SLIC评分4分患者的治疗争议及骨质疏松对治疗决策的影响。方法:通过系统综述国内外文献,整合AO分型与SLIC评分系统的临床价值,结合生物力学研究及临床病例数据,分析保守治疗与手术干预的适应症,并探讨骨质疏松对预后的作用机制。结果:下颈椎A1型骨折多推荐保守治疗,但SLIC评分4分(合并不完全脊髓损伤)患者治疗存在争议。尤其当此类患者合并骨质疏松时,可通过降低骨强度、加剧椎体塌陷及后凸畸形进展,显著影响保守治疗效果,可能需升级为手术干预(如ACDF)。目前缺乏针对SLIC评分4分合并骨质疏松患者的高质量证据,现有分型系统未充分纳入骨密度参数,生物力学稳定性评估存在局限。结论:SLIC评分4分的下颈椎A1型骨折需结合神经功能、骨密度及椎体形态综合决策,骨质疏松患者应强化抗骨松治疗并动态评估稳定性。未来需开展多中心研究明确手术指征,建立基于骨代谢评估的精准治疗体系。Objective: To investigate the treatment strategies for subaxial cervical A1-type fractures, analyze the treatment controversies in patients with a SLIC score of 4, and explore the impact of osteoporosis on treatment decision-making. Methods: A systematic literature review was conducted to synthesize the clinical utility of the AO Spine classification and SLIC scoring systems. Biomechanical studies and clinical case data were integrated to analyze indications for conservative management versus surgical intervention, with a focus on elucidating the mechanistic role of osteoporosis in prognosis. Results: Conservative treatment remains the primary recommendation for most A1-type fractures. However, significant controversy persists in managing patients with a SLIC score of 4 (associated with incomplete spinal cord injury), particularly when combined with osteoporosis. Osteoporosis exacerbates vertebral collapse and kyphotic progression through reduced bone strength, compromising conservative outcomes and necessitating potential escalation to surgical interventions such as anterior cervical discectomy and fusion (ACDF). Current evidence lacks high-quality studies targeting this subgroup, and existing classification systems inadequately incorporate bone mineral density parameters, limiting biomechanical stability assessments. Conclusions: Therapeutic decision-making for SLIC score 4 A1-type fractures requires a comprehensive evaluation of neurological status, bone density, and vertebral morphology. Osteoporotic patients warrant intensified anti-osteoporotic therapy and dynamic stability assessments. Future multicenter studies are imperative to refine surgical indications and establish a precision-based treatment framework incorporating bone metabolic profiling.
文摘针对简单线性迭代聚类(Simple Linear Iterative Clustering,SLIC)算法对不同图像自适应性差的问题,提出了一种基于皮尔森相关系数的自适应SLIC超像素图像分割算法。首先,通过量化非间隔进行图像预处理,并计算颜色熵作为图像复杂度,从而确定所需分割的超像素个数。其次,利用皮尔森相关系数作为相似性度量函数。最后,通过纹理特征对类内异常点进行滤除,确保种子点更新的准确性。实验结果表明,在超像素个数相同的情况下,基于皮尔森相关系数的自适应SLIC超像素图像分割算法相比主流超像素分割算法,可以获得更高的边缘命中率以及更低的欠分割率,性能优于LSC(Linear Spectral Clustering)、SLIC和SLIC0(Simple Linear Iterative Clustering Zero)算法。
文摘针对传统船舶图像去噪算法难以对图像的边缘细节进行保留和分析,以及传统非局部均值去噪算法相似框选择困难等问题,提出基于简单线性迭代聚类(simple linear iterative clustering,SLIC)超像素分割的非局部均值船舶图像去噪算法。通过SLIC算法对图像进行分割处理,界定图像的纹理区域和平滑区域;使用相似框搜索和匹配策略,提升匹配效果,并适当保留更多边缘细节,从而改善图像去噪的效果。实验结果表明,所提出的算法相较于其他传统的船舶图像去噪算法不仅能很好地保留船舶图像的边缘细节特点,而且能在一定程度上提高船舶图像的峰值信噪比,具有良好的去噪效果,可以用于智能航海领域船舶图像的去噪。
文摘针对SLIC(Simple Linear Iterative Clustering)算法在超像素聚类过程中耗时较长的缺陷,提出一种基于快速SLIC的图像超像素算法。该算法首先剔除在颜色空间上与聚类中心相似度较低的像素,从而仅用部分近邻像素更新聚类中心,以确保聚类中心快速达到稳定并阻止误差传播,提高边缘命中率;其次,在初始化网格后,将每个超像素的边缘像素视为不稳定像素,将超像素的非边缘像素视为稳定像素并保持稳定像素的类别不变;最后,通过对不稳定像素进行迭代标记来实现快速超像素图像分割。在MATLAB环境下分别对所提算法与6种对比算法进行测试,在超像素个数相同的情况下,所提算法在BSD500数据集上与经典的SLIC算法相比分割误差率降低5%,分割精度提高0.5%,运行时间减少0.18 s。实验结果表明,与主流的超像素算法相比,所提算法在提升超像素分割质量的同时能够有效降低算法的计算复杂度。
