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    • 134. 发明申请
    • IMAGE PROCESSING DEVICE AND SPINAL CANAL EVALUATION METHOD
    • 图像处理装置和脊柱评估方法
    • US20150248593A1
    • 2015-09-03
    • US14430716
    • 2013-10-23
    • HITACHI MEDICAL CORPORATION
    • Kuniyoshi NakashimaTsuneto Katayama
    • G06K9/46
    • G06K9/4604A61B6/463A61B6/505A61B6/5217G06T7/0012G06T7/136G06T2207/10016G06T2207/10072G06T2207/30012G06T2207/30101
    • To provide an image processing device and a spinal canal evaluation method that can evaluate the spinal canal stenosis in an identified cross-sectional position, the image processing device 100 extracts a vertebral region from a series of tomographic images in which at least a part of the spine was scanned and calculates a length in the anteroposterior direction of an object for each cross section in each vertebral region. Also, a cross section including a spinous process is identified based on the calculated length in the anteroposterior direction of an object in each vertebral region, the spinal canal stenosis is evaluated by setting the identified cross-sectional position to be analyzed, and then the evaluation results are displayed. Hence, stenosis evaluation can be performed for various shapes of the spinal canal region in which a closed space hardly appears on an image due to many gaps.
    • 为了提供可以在所识别的横截面位置评估椎管狭窄的图像处理装置和椎管评估方法,图像处理装置100从一系列断层图像提取椎骨区域,其中至少一部分 扫描脊柱,并计算每个脊椎区域中每个横截面的物体的前后方向上的长度。 另外,基于计算出的各脊椎部位的前后方向的长度来确定包括棘突的横截面,通过设定所分析的识别出的横截面位置来评价椎管狭窄,然后进行评价 显示结果。 因此,可以对由于许多间隙而在图像上几乎不出现封闭空间的各种形状的椎管区域进行狭窄评估。
    • 137. 发明授权
    • Mesh collision avoidance
    • 网格碰撞避免
    • US08917933B2
    • 2014-12-23
    • US12936425
    • 2009-04-02
    • Tobias KlinderRobin M. B. WolzAstrid R. FranzCristian Lorenz
    • Tobias KlinderRobin M. B. WolzAstrid R. FranzCristian Lorenz
    • G06K9/34G06K9/00G06T7/00
    • G06T7/0081G06T7/11G06T2207/10072G06T2207/10116G06T2207/30012
    • The invention relates to a system for segmenting an object in image data using model-based image segmentation. The system comprises a feature unit for identifying features in the image data for computing an external energy of a mesh on the basis of a current position of the mesh. The feature unit further comprises a candidate feature unit for selecting a plurality of candidate features in the image data. The feature unit further comprises a position unit for determining a position of each candidate feature of the plurality of the candidate features relative to a region of the image data. The feature unit further comprises a feature function unit for computing a strength of each candidate feature. The feature unit further comprises an evaluation unit for evaluating each candidate feature of the plurality of candidate features and for identifying the feature among the plurality of candidate features based on this evaluation.
    • 本发明涉及一种使用基于模型的图像分割来分割图像数据中的对象的系统。 该系统包括用于识别图像数据中的特征的特征单元,用于基于网格的当前位置计算网格的外部能量。 特征单元还包括用于在图像数据中选择多个候选特征的候选特征单元。 特征单元还包括位置单元,用于相对于图像数据的区域确定多个候选特征的每个候选特征的位置。 特征单元还包括用于计算每个候选特征的强度的特征函数单元。 特征单元还包括评估单元,用于基于该评估来评估多个候选特征中的每个候选特征并且用于识别多个候选特征中的特征。