2000
DOI: 10.1109/4233.897061
|View full text |Cite
|
Sign up to set email alerts
|

Skeletal growth estimation using radiographic image processing and analysis

Abstract: Abstract-An automated knowledge-based vision system for skeletal growth estimation in children is reported in this paper. Images were obtained from hand radiographs of 32 male and 25 female children of age 1-16 yr. Phalanx bones were automatically localized and segmented using hierarchical inferences and active shape models, respectively. A number of shape descriptors were obtained from the segmented bone contour to quantify skeletal growth. From these descriptors, a feature vector was selected for a regressio… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
25
0

Year Published

2001
2001
2019
2019

Publication Types

Select...
4
3
1

Relationship

0
8

Authors

Journals

citations
Cited by 63 publications
(25 citation statements)
references
References 16 publications
0
25
0
Order By: Relevance
“…In the same year 1999 Sasan Mahmoodi et al [47] considered 57 images including males and females and used binary threshold method and concave convex detection methods to remove the soft tissue pixels and to enhance the finger bone boundaries. Later an active shape model is used to detect the edges of the bony pixels by super imposing the trained image on the processing image.…”
Section: Active Shape/active Appearance Modelsmentioning
confidence: 99%
“…In the same year 1999 Sasan Mahmoodi et al [47] considered 57 images including males and females and used binary threshold method and concave convex detection methods to remove the soft tissue pixels and to enhance the finger bone boundaries. Later an active shape model is used to detect the edges of the bony pixels by super imposing the trained image on the processing image.…”
Section: Active Shape/active Appearance Modelsmentioning
confidence: 99%
“…Active shape models (ASM) [28][29][30] and Active Appearance Models (AAM) 2,9,31 have been used previously for the segmentation of bones from radiographs. However, the use of ASMs for this task has decreased since the introduction of AAMs, as the AAM uses a more complete model of an image.…”
Section: Active Appearance Modelsmentioning
confidence: 99%
“…Therefore, alternative approaches are required to describe the nonlinear shape variations of structures organizations. One approach is to apply piecewise linear models (Heap and Hogg, 1997) and the other is to separately model variations of shapes of individual parts and the variations of their spatial relationships (Mahmoodi et al, 2000). The problem with piecewise linearization as described by Heap et al (1997) is that it only approximates the non-linear shape variations because it is not using a priori knowledge on the organization of structures.…”
Section: Introductionmentioning
confidence: 99%
“…The problem with piecewise linearization as described by Heap et al (1997) is that it only approximates the non-linear shape variations because it is not using a priori knowledge on the organization of structures. However even though Mahmoodi et al (2000) did use the a priori knowledge, it was used only to initialize a model and not throughout the segmentation process. introduced the statistical model of topology to model the spatial relationships of anatomical structures.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation