Differentiation between post-menopausal women with and without hip fractures: enhanced evaluation of clinical DXA by topological analysis of the mineral distribution in the scan images

Boehm, Heike; Vogel, Tobias; Panteleon, A.; Bürklein, Dominik; Bitterling, H.; Reiser, Maximilian

doi:10.1007/s00198-006-0302-z

Cited by 29 publications

(30 citation statements)

References 27 publications

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“…As described in previous work [11], scan images were processed by multi-gray-level topological analysis using the MF in two dimensions (2D). The MF of digitized, binary image data in 2D are interpreted geometrically as area, perimeter, and the Euler-Poincaré number χ of the pattern consisting of the object pixels [12].…”

Section: Topological Gray-level Analysismentioning

confidence: 99%

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Local topological analysis of densitometer-generated scan images of the proximal femur for differentiation between patients with hip fracture and age-matched controls

et al. 2008

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Section: Topological Gray-level Analysismentioning

confidence: 99%

“…In previous work, we could show that densitometergenerated image data virtually obtained as "by-products" of BMD measurement provide information in addition to BMD, which can be quantified by topological analysis using the Minkowski Functionals (MF) for enhanced differentiation between patients with and without hip fracture [11].…”

Section: Introductionmentioning

confidence: 99%

Local topological analysis of densitometer-generated scan images of the proximal femur for differentiation between patients with hip fracture and age-matched controls

et al. 2008

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“…7 Minkowski functionals (MFs) are used to detect several pathology conditions in bone, chest and breast images. 8 …”

Section: Introductionmentioning

confidence: 97%

Analysis of Anatomical Regions in Alzheimer's Brain MR Images Using Level Sets and Minkowski Functionals

Kayalvizhi

Anandh

Kavitha

et al. 2015

J. Mech. Med. Biol.

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In this work, an attempt is made to analyze anatomical regions of Alzheimer's brain MR images using level set and Minkowski functionals (MFs). The T1 weighted sagittal view of normal and abnormal images considered in this work, are obtained from MIRIAD database. The ventricle along with the hippocampus is segmented using Reaction Diffusion (RD) level set method and is subjected to further analysis using MFs. The prominent feature derived from the segmented region which contains ventricle and hippocampus is correlated with the MiniMental State Examination (MMSE) score. Results show that RD method is able to delineate the exact boundary of the ventricle along with hippocampus. It is observed that the MF-area of segmented region provides better discrimination of normal and abnormal subjects (p < 0:001) compared to the MF-perimeter and MF-Euler number. The correlation of the MMSE with prominent MF-area for normal, mild, moderate and severe are found to be 0.71, 0.82, 0.84 and 0.89, respectively. This suggests that characterization of brain structures using MFs improve the discrimination capability of brain disorders. Hence MF-area feature could be used for the study of progression in Alzheimer's disease (AD) like neurodegenerative disorders.

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“…Micro-architecture is best assessed directly via histomorphometry of the transiliac crest bone biopsy, which does not necessarily reflect microstructure at spine and femur, where fragility fractures occur [7]. However, this direct method is invasive and nowadays not suitable for routine diagnostic procedure.…”

Section: Introductionmentioning

confidence: 99%

The Role of Trabecular Bone Score and Hip Geometry in Thalassemia Major: A Neural Network Analysis

Baldini¹,

Grossi²,

Cappellini³

et al. 2017

Br J Res

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Osteopathy in thalassemia is a very heterogeneous condition; severity depends on multiple factors, interacting through nonlinear mechanisms. Classic statistics have limitations when applied to the study of such highly complex relationships. Currently, an alternative approach of analysis is represented by the artificial neural networks (ANNs), powerful mathematical tools, increasingly applied to analyze multifactorial databases, as considered more appropriate than classic statistics. We adopted this specialized mathematical method to 76 thalassemia major (TM) patients. In all of them dual energy X-ray absorptiometry (DXA) was performed to measure bone mineral density, and two recent developments were included: trabecular bone score, evaluating bone microarchitecture, and hip structural analysis, evaluating hip geometry. The relationships between bone status and endocrine, hematologic, and clinical parameters were investigated. Using a particular ANN (Auto Contractive Map algorithm), the strength of inter-variable association was defined and a connectivity map generated, visually representing the main connections among the entered variables. Iron status indices (ferritin, liver iron concentration) emerged as the most important variables, dividing the map into two sectors, with parameters indicating satisfactory bone condition in the upper, those indicating poor condition in the lower, near the variable "fractures". The Auto Contractive Map highlighted the key role of bone quantity, bone geometry, and microarchitecture in defining thalassemic bone condition. Among numerous available indices, high femoral bone mineral density and low cross-sectional moment of inertia emerged as the gold standard to classify thalassemic patients for prognostic and therapeutic purposes.

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Differentiation between post-menopausal women with and without hip fractures: enhanced evaluation of clinical DXA by topological analysis of the mineral distribution in the scan images

Cited by 29 publications

References 27 publications

Local topological analysis of densitometer-generated scan images of the proximal femur for differentiation between patients with hip fracture and age-matched controls

Local topological analysis of densitometer-generated scan images of the proximal femur for differentiation between patients with hip fracture and age-matched controls

Analysis of Anatomical Regions in Alzheimer's Brain MR Images Using Level Sets and Minkowski Functionals

The Role of Trabecular Bone Score and Hip Geometry in Thalassemia Major: A Neural Network Analysis

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