[HTML][HTML] Photogrammetry applied to neurosurgery: A literature review

M Trandzhiev, DI Vezirska, I Maslarski, MD Milev… - Cureus, 2023 - ncbi.nlm.nih.gov
Photogrammetry refers to the process of creating 3D models and taking measurements
through the use of photographs. Photogrammetry has many applications in neurosurgery …

Applications of 3D photography in craniofacial surgery

C Duncan, NE Pears, H Dai, WAP Smith… - Journal of Pediatric …, 2022 - journals.lww.com
Three-dimensional (3D) photography is becoming more common in craniosynostosis
practice and may be used for research, archiving, and as a planning tool. In this article, an …

Geometric learning and statistical modeling for surgical outcomes evaluation in craniosynostosis using 3D photogrammetry

C Elkhill, J Liu, MG Linguraru, S LeBeau… - Computer Methods and …, 2023 - Elsevier
Background and objective Accurate and repeatable detection of craniofacial landmarks is
crucial for automated quantitative evaluation of head development anomalies. Since …

A radiation-free classification pipeline for craniosynostosis using statistical shape modeling

M Schaufelberger, R Kühle, A Wachter, F Weichel… - Diagnostics, 2022 - mdpi.com
Background: Craniosynostosis is a condition caused by the premature fusion of skull
sutures, leading to irregular growth patterns of the head. Three-dimensional …

[HTML][HTML] Combining machine learning and close-range photogrammetry for infant's head 3D measurement: A smartphone-based solution

I Barbero-García, R Pierdicca, M Paolanti, A Felicetti… - Measurement, 2021 - Elsevier
Three-dimensional data has a wide range of applications in medicine. For the particular
case of cranial deformation in infants, it is becoming a common tool for evaluation. However …

Novel screening and monitoring techniques for deformational plagiocephaly: a systematic review

A Watt, D Zammit, J Lee, M Gilardino - Pediatrics, 2022 - publications.aap.org
OBJECTIVE In this systematic review (PROSPERO; CRD42021224842), we aim to compile
the evidence for non-radiographic screening and monitoring modalities for deformational …

[HTML][HTML] Machine learning-based identification of craniosynostosis in newborns

M Sabeti, R Boostani, E Moradi, MH Shakoor - Machine Learning with …, 2022 - Elsevier
Early closure of cranial vault sutures, defined as craniosynostosis is a relatively common
condition with somehow specific head and face abnormality for each subtype. Early …

Craniofacial growth and asymmetry in newborns: a longitudinal 3D assessment

AL Lo, RR Hallac, SH Chen, KH Hsu, SW Wang… - International journal of …, 2022 - mdpi.com
Objective: To evaluate the development of the craniofacial region in healthy infants and
analyze the asymmetry pattern in the first year of life. Methods: The participants were …

3D-2D distance maps conversion enhances classification of craniosynostosis

M Schaufelberger, C Kaiser, R Kühle… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Objective: Diagnosis of craniosynostosis using photogrammetric 3D surface scans is a
promising radiation-free alternative to traditional computed tomography. We propose a 3D …

Convolutional neural network-based classification of craniosynostosis and suture lines from multi-view cranial X-rays

SM Kim, JS Yang, JW Han, HI Koo, TH Roh… - Scientific Reports, 2024 - nature.com
Early and precise diagnosis of craniosynostosis (CSO), which involves premature fusion of
cranial sutures in infants, is crucial for effective treatment. Although computed topography …