An eFTD-VP framework for efficiently generating patient-specific anatomically detailed facial soft tissue FE mesh for craniomaxillofacial surgery simulation. X Zhang, D Kim, S Shen, et al.

Date: October 2017. Source: Biomechanics and Modeling in Mechanobiology, pp 1–16, https://doi.org/10.1007/s10237-017-0967-6. Abstract: Accurate surgical planning and prediction of craniomaxillofacial surgery outcome requires simulation of soft tissue changes following osteotomy. This can only be achieved by using an anatomically detailed facial soft tissue model. The current state-of-the-art of model generation is not appropriate to clinical…

The Use of 3D Imaging in Craniosynostosis; Surgical Planning; and Follow-Up. T Maal.

Date: June 24, 2015. Source: European Craniofacial Congress 2015, Gothenburg, Sweden. Presentation: The Use of 3D Imaging in Craniosynostosis; Surgical Planning; and Follow-Up. Presenter: Thomas J Maal, 3D Lab, Department of Oral- and Maxillofacial Surgery, Radboud University Medical Centre, Nijmegen, Netherlands.

Surgical Planning: 2D to 3D. PK Patel, LP Zhao, JW Ferraro.

Date: October 2014 Source: Ferraro’s Fundamentals of Maxillofacial Surgery. Springer New York, pp 331-367. Abstract: Surgeons and orthodontists are faced with the practical problem of objectively assessing a patient’s dentofacial skeletal deformity. Maxillofacial surgical planning is a multilevel process. It involves incorporating the clinical assessment of the soft-tissue envelop, the underlying facial skeletal structures, and…

Image Fusion in Preoperative Planning. SA Schendel, KS Duncan, CR Lane.

Date: November 2011. Source: 3D Imaging Technologies for Facial Plastic Surgery, Facial Plastic Surgery Clinics of North America, Vol 19, Issue 4 , Pages 577-590. Abstract: This article presents a comprehensive overview of generating a digital Patient-Specific Anatomic Reconstruction (PSAR) model of the craniofacial complex as the foundation for a more objective surgical planning platform.…

3D Symmetry Measure Invariant to Subject Pose During Image Acquisition. M Kawale, J Lee, SY Leung, MC Fingeret, GP Reece, MA Crosby, EK Beahm, MK Markey, FA Merchant.

Date: June 2011. Source: Breast Cancer (Auckl). 5:131-42. doi: 10.4137/BCBCR.S7140. Abstract: In this study we evaluate the influence of subject pose during image acquisition on quantitative analysis of breast morphology. Three (3D) and two-dimensional (2D) images of the torso of 12 female subjects in two different poses; (1) hands-on-hip (HH) and (2) hands-down (HD) were…