3D Statistical Shape Models of Patella for Sex Classification

Mahfouz, Mohamed R.; Badawi, Ahmed M.; Merkl, Brandon; Fatah, Emam ElHak Abdel; Pritchard, Emily; Kesler, Katherine; Moore, M A; Jantz, Richard L.

doi:10.1109/iembs.2006.259373

Cited by 9 publications

(8 citation statements)

References 38 publications

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“…The atlas was created as outlined in previous works by Mahfouz et al (2006). All data for the atlases were from healthy specimens segmented from CT with resolution of 0.625 Â 0.625 Â 0.625 mm.…”

Section: Bone Atlasmentioning

confidence: 99%

Cartilage loss patterns within femorotibial contact regions during deep knee bend

Johnson

Mahfouz

2016

Journal of Biomechanics

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Osteoarthritis (OA) can alter knee kinematics and stresses. The relationship between cartilage loss in OA and kinematics is unclear, with existing work focusing on static wear and morphology. In this work, femorotibial cartilage maps were coupled with kinematics to investigate the relationship between kinematics and cartilage loss, allowing for more precise treatment and intervention. Cartilage thickness maps were created from healthy and OA subgroups (varus, valgus, and neutral) and mapped to a statistical bone atlas. Video fluoroscopy determined contact regions from 0° to 120° flexion. Varus and valgus subgroups displayed different wear patterns across the range of flexion, with varus knees showing more loss in early flexion and valgus in deeper flexion. For the femur, varus knees had more wear in the medial compartment than neutral or valgus and most wear at both 0° and 20° flexion. In the lateral femoral compartment, the valgus subgroup showed significantly more wear from 20° to 60° flexion as compared to other angles, though varus knees displayed highest magnitude of wear. For the tibia, most medial wear occurred at 0-40° flexion and most lateral occurred after 60° flexion. Knowing more about cartilage changes in OA knees provides insight as to expected wear or stresses on implanted components after arthroplasty. Combining cartilage loss patterns with kinematics allows for pre-surgical intervention and treatments tailored to the patient׳s alignment and kinematics. Reported wear patterns may also serve as a gauge for post-operative loading to be considered when placing implant components.

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Section: Bone Atlasmentioning

confidence: 99%

Cartilage loss patterns within femorotibial contact regions during deep knee bend

Johnson

Mahfouz

2016

Journal of Biomechanics

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“…A previously developed technique (Kuhn et al 2005, Mahfouz et al 2006b) for creating a statistical representation of bone shape is employed in a novel manner. Here two separate statistical atlases of femora have been compiled with one atlas containing only male femora and the other only female femora.…”

Section: Atlas Creation and Validationmentioning

confidence: 99%

Automatic methods for characterization of sexual dimorphism of adult femora: distal femur

Mahfouz

Merkl

Fatah

et al. 2007

Computer Methods in Biomechanics and Biomedical Engineering

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Quantifying sex differences in femoral size and shape has extensive applications in forensics and prosthesis design. By applying strong statistical techniques such as principal component analysis (PCA), certain three-dimensional (3D) morphological variations of adult femora can be quantified over various femoral sizes. Coupling this statistical approach with a novel feature generation and extraction technique, localization of statistically significant (p<0.05) features are automatically defined and measured. Also, predefined anatomical landmarks and surgical axes have been calculated automatically. In all methods, femoral scale is controlled as a possible parameter of shape. By extensively comparing measurements across 92 male and 74 female femora, the dimorphic characteristics of the distal femur are shown. These differences have not been accounted for in many prosthetic systems and consequently these systems have limited sizing accuracy.

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“…Previous studies carried out sex determinations using CT images of the cranium, sternum or patella [12][13][14][15][16][17][18][19][20]. However, corpses that require identification are often challenging, as they can be severely burned, decomposed, or have suffered traumatic dismemberment.…”

Section: Introductionmentioning

confidence: 99%

“…Postmortem CT imaging is a good method to depict osseous structures [8][9][10][11], so CT scanning is also applied in forensic anthropology. Currently, CT scans are used for typical forensic anthropological tasks such as sex and age determination [12][13][14][15][16][17][18][19][20]. The assessment of morphological bone traits of individuals is basically accurate but should be performed by physical anthropologists.…”

Section: Introductionmentioning

confidence: 99%