Reconstruction of full femora from partial bone fragments for anthropological analyses using statistical shape modeling

Ebert, Lars C.; Rahbani, Dana; Lüthi, Marcel; Thali, Michael J.; Christensen, Angi M.; Fliss, Barbara

doi:10.1016/j.forsciint.2022.111196

Cited by 8 publications

(6 citation statements)

References 36 publications

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“…After extensive destruction, as in acid, the reconstruction and identification of human remains is extremely difficult and even the most modern technologies still do not offer a textbook method for virtual reassociation for fragmented human remains [2,[9][10][11][12][13][14]. The solution of the problem may lie in a multidisciplinary combination of the most modern digital methodologies linking the fields of forensic anthropology, forensic dentistry, forensic radiology, forensic chemistry and possibly with the implementation of artificial intelligence.…”

Section: Human Identification From Dental Patternsmentioning

confidence: 99%

Human Remains Identification Using Micro-CT, Chemometric and A.I. Methods in Forensic Experimental Reconstruction of Dental Patterns after Concentrated Acid Significant Impact

Thurzo¹,

Jančovičová²,

Hain³

et al. 2022

Preprint

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(1) Teeth, represent in humans the most resilient tissues. However, exposure to concentrated acids might lead to their obliteration, thus making human identification difficult. Teeth often contain dental restorations from materials that are even more resilient to acid impact. This paper introduces novel method of 3D reconstruction of dental patterns as a crucial step for digital identification with dental records.; (2) With combination of modern methods of Micro-Computer Tomography, Cone Beam Computer Tomography, Attenuated Total Reflection in conjunction with Fourier-Transform Infrared Spectroscopy and Artificial Intelligence Convolutional Neural Network algorithms, the paper presents the way of 3D dental pattern reconstruction and human remains identification. Research studies morphology of teeth, bone, and dental materials (Amalgam, Composite, Glass-ionomer cement) under different periods of exposure to 75% sulfuric acid; (3) Results reveal significant volume loss in bone, enamel, dentine, and as well glass-ionomer cement. Results also reveal significant resistance of composite and amalgam dental materials to sulfuric acid impact, thus serving as strong parts in the dental pattern mosaic. Paper also introduces probably first successful artificial intelligence application in automated forensic CBCT segmentation.; (4) Interdisciplinary cooperation utilizing mentioned technologies can solve problem of human remains identification with 3D reconstruction of dental patterns and their 2D projections over existing ante-mortem records.

show abstract

Section: Human Identification From Dental Patternsmentioning

confidence: 99%

Human Remains Identification Using Micro-CT, Chemometric and A.I. Methods in Forensic Experimental Reconstruction of Dental Patterns after Concentrated Acid Significant Impact

Thurzo¹,

Jančovičová²,

Hain³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Solan and Kulkarni [ 47 ] related the total femur length to the length of five individual segments of the femur. Ebert et al [ 16 ] successfully estimated the bone length from incomplete femurs using a statistical shape model presented a method for reconstruction of the bone from incomplete 3D bone, and the anatomical geometrical parameters were studied and compared to the ground truth. Salhi et al [ 43 ] highlighted the importance to use anatomical measures to describe the accuracy of the reconstruction before clinical use.…”

Section: Introductionmentioning

confidence: 99%

3D shape reconstruction of the femur from planar X-ray images using statistical shape and appearance models

2023

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Major trauma is a condition that can result in severe bone damage. Customised orthopaedic reconstruction allows for limb salvage surgery and helps to restore joint alignment. For the best possible outcome three dimensional (3D) medical imaging is necessary, but its availability and access, especially in developing countries, can be challenging. In this study, 3D bone shapes of the femur reconstructed from planar radiographs representing bone defects were evaluated for use in orthopaedic surgery. Statistical shape and appearance models generated from 40 cadaveric X-ray computed tomography (CT) images were used to reconstruct 3D bone shapes. The reconstruction simulated bone defects of between 0% and 50% of the whole bone, and the prediction accuracy using anterior–posterior (AP) and anterior–posterior/medial–lateral (AP/ML) X-rays were compared. As error metrics for the comparison, measures evaluating the distance between contour lines of the projections as well as a measure comparing similarities in image intensities were used. The results were evaluated using the root-mean-square distance for surface error as well as differences in commonly used anatomical measures, including bow, femoral neck, diaphyseal–condylar and version angles between reconstructed surfaces from the shape model and the intact shape reconstructed from the CT image. The reconstructions had average surface errors between 1.59 and 3.59 mm with reconstructions using the contour error metric from the AP/ML directions being the most accurate. Predictions of bow and femoral neck angles were well below the clinical threshold accuracy of 3°, diaphyseal–condylar angles were around the threshold of 3° and only version angle predictions of between 5.3° and 9.3° were above the clinical threshold, but below the range reported in clinical practice using computer navigation (i.e., 17° internal to 15° external rotation). This study shows that the reconstructions from partly available planar images using statistical shape and appearance models had an accuracy which would support their potential use in orthopaedic reconstruction.

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“…Sulfuric, hydrochloric, and nitric acids, and their combinations, are among the most frequently used acids for this purpose [1][2][3][4][5][6]. In fact, after extensive destruction, as in with acid, the reconstruction and identification of human remains are extremely difficult, and even the most modern technologies still do not offer a textbook method for a virtual re-association of fragmented human remains [2,[7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Human Remains Identification Using Micro-CT, Chemometric and AI Methods in Forensic Experimental Reconstruction of Dental Patterns after Concentrated Sulphuric Acid Significant Impact

et al. 2022

View full text Add to dashboard Cite

(1) Teeth, in humans, represent the most resilient tissues. However, exposure to concentrated acids might lead to their dissolving, thus making human identification difficult. Teeth often contain dental restorations from materials that are even more resilient to acid impact. This paper aims to introduce a novel method for the 3D reconstruction of dental patterns as a crucial step for the digital identification of dental records. (2) With a combination of modern methods, including micro-computed tomography, cone-beam computer tomography, and attenuated total reflection, in conjunction with Fourier transform infrared spectroscopy and artificial intelligence convolutional neural network algorithms, this paper presents a method for 3D-dental-pattern reconstruction, and human remains identification. Our research studies the morphology of teeth, bone, and dental materials (amalgam, composite, glass-ionomer cement) under different periods of exposure to 75% sulfuric acid. (3) Our results reveal a significant volume loss in bone, enamel, dentine, as well as glass-ionomer cement. The results also reveal a significant resistance by the composite and amalgam dental materials to the impact of sulfuric acid, thus serving as strong parts in the dental-pattern mosaic. This paper also probably introduces the first successful artificial intelligence application in automated-forensic-CBCT segmentation. (4) Interdisciplinary cooperation, utilizing the mentioned technologies, can solve the problem of human remains identification with a 3D reconstruction of dental patterns and their 2D projections over existing ante-mortem records.

show abstract

Reconstruction of full femora from partial bone fragments for anthropological analyses using statistical shape modeling

Cited by 8 publications

References 36 publications

Human Remains Identification Using Micro-CT, Chemometric and A.I. Methods in Forensic Experimental Reconstruction of Dental Patterns after Concentrated Acid Significant Impact

Human Remains Identification Using Micro-CT, Chemometric and A.I. Methods in Forensic Experimental Reconstruction of Dental Patterns after Concentrated Acid Significant Impact

3D shape reconstruction of the femur from planar X-ray images using statistical shape and appearance models

Human Remains Identification Using Micro-CT, Chemometric and AI Methods in Forensic Experimental Reconstruction of Dental Patterns after Concentrated Sulphuric Acid Significant Impact

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