Segmentation of prostate magnetic resonance image with active shape of adaptive texture distribution

Yuan-yuan, 汪源源 Wang; Zong-liang, 原宗良 Yuan; San, 唐三 Tang

doi:10.3788/ope.20132109.2371

Cited by 2 publications

(1 citation statement)

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“…Then, the 8-connected boundary tracking algorithm was applied to track the target image contour (Figure 1(b)). In the end, a single continuous outline of natural bone was obtained [4][5] , as can be seen in Figure 1(c).…”

Section: Image Processingmentioning

confidence: 99%

Artificial bone with personalised ordering and laser rapid prototyping based on CT image processing

Lijing¹,

Li²,

Xie³

et al. 2015

Insight

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Artificial bone with personalised ordering and laser rapid prototyping based on CT image processing Manufacturing the complex surface of personal artificial bone by laser rapid prototyping has always been difficult in artificial bone forming. An approach to this challenge is presented based on the CT slice data of natural bone. The artificial bone was customised by means of building an STL model and using the laser rapid prototyping method. Firstly, the CT slice data of natural bone was obtained by CT scanning. The edge detection and 8-connected boundary tracking algorithm were utilised to obtain the natural bone contour data of each slice. Secondly, in order to meet the process requirements of layer thickness in laser rapid prototyping, profile matching points were established on every two adjacent layers. Linear interpolation was used to gain intermediate contour data according to the profile matching points. Then, the contours of natural bone were fitted by a cubic spline curve. Finally, the STL model of natural bone was generated by minimum diagonal triangulation and the laser rapid prototyping machine was put into service to print the artificial bone.

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Section: Image Processingmentioning

confidence: 99%