Knee cartilage segmentation using active shape models and contrast enhancement from magnetic resonance images

2013 ◽  
Author(s):  
Germán González ◽  
Boris Escalante-Ramírez
Keyword(s):  
Magnetic Resonance ◽  
Contrast Enhancement ◽  
Magnetic Resonance Images ◽  
Knee Cartilage ◽  
Active Shape Models ◽  
Shape Models ◽  
Active Shape

scholarly journals Creating a 2D Active Shape Model Using itk::ImagePCAShapeModelEstimator

2011 ◽  
Author(s):  
John Durkin ◽  
David Miller ◽  
Kenneth Urish
Keyword(s):  
Active Contour ◽  
Active Shape Model ◽  
Knee Cartilage ◽  
Shape Model ◽  
Active Shape Models ◽  
Contour Segmentation ◽  
Shape Models ◽  
Segmentation Algorithms ◽  
Active Shape ◽  
Weak Boundaries

Although many variations of active contour segmentation algorithms exist, most are based on solely edge criteria and breakdown or leak at weak boundaries. One solution to this problem is constraining the segmented area to only statistically possible shapes with the guidance of a shape model. The purpose of this document is to fill the void in the ITK user guide on building active shape models. We describe how to create a 2d active shape model of articular femoral knee cartilage using ITK’s ImagePCAShapeModelEstimator. Sample code and example images are provided for displaying the initial principle components of variation. Shape models built with our code can be used for segmentation with itk::GeodesicActiveContourShapePriorLevelSetImageFilter.

Physiological Basis of Myocardial Contrast Enhancement in Fast Magnetic Resonance Images of 2-Day-Old Reperfused Canine Infarcts

Circulation ◽  
1995 ◽  
Vol 92 (7) ◽  
pp. 1902-1910 ◽  
Author(s):  
Robert M. Judd ◽  
Carlos H. Lugo-Olivieri ◽  
Masazumi Arai ◽  
Takeshi Kondo ◽  
Pierre Croisille ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Contrast Enhancement ◽  
Magnetic Resonance Images ◽  
Physiological Basis

scholarly journals Multiple Sclerosis Of The Spinal Cord: Is Gadolinium Irreplaceable In Assessing Lesion Activity?

2013 ◽  
Vol 59 (3) ◽  
pp. 158-161
Author(s):  
Constantina Andrada Treabă ◽  
M Buruian ◽  
Rodica Bălașa ◽  
Maria Daniela Podeanu ◽  
I P Simu ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Spinal Cord ◽  
Magnetic Resonance ◽  
Contrast Enhancement ◽  
Signs And Symptoms ◽  
Magnetic Resonance Images ◽  
Type I ◽  
Focal Lesions ◽  
Spinal Cord Lesions ◽  
Active Lesion

Abstract Purpose: To evaluate the relationship between the T2 patterns of spinal cord multiple sclerosis lesions and their contrast uptake. Material and method: We retrospectively reviewed the appearance of spinal cord lesions in 29 patients (with relapsing-remitting multiple sclerosis) who had signs and symptoms of myelopathy on neurologic examination and at least one active lesion visualized on magnetic resonance examinations performed between 2004 and 2011. We correlated the T2 patterns of lesions with contrast enhancement and calculated sensitivity and specificity in predicting gadolinium enhancement. Results: Only focal patterns consisting of a lesion’s center homogenously brighter than its periphery on T2-weighed images (type I) correlated significantly with the presence of contrast enhancement (p = 0.004). Sensitivity was 0.307 and specificity 0.929. In contrast, enhancement was not significantly related to uniformly hyperintense T2 focal lesions (type II) or diffuse (type III) pattern defined as poorly delineated areas of multiple small, confluent, subtle hyperintense T2 lesions (p > 0.5 for both). Conclusions: We believe that information about the activity of multiple sclerosis spinal cord lesions in patients with myelopathy may be extracted not only from contrast enhanced, but also from non-enhanced magnetic resonance images.

Active shape models with optimised texture features for radiotherapy

2014 ◽  
Author(s):  
K. Cheng ◽  
D. Montgomery ◽  
F. Yang ◽  
D. B. McLaren ◽  
S. McLaughlin ◽  
...  
Keyword(s):  
Texture Features ◽  
Active Shape Models ◽  
Shape Models ◽  
Active Shape
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