Shape-based 3D vascular tree extraction for perforator flaps

Quan Wen; Jean Gao

doi:10.1117/12.596390

29 April 2005 Shape-based 3D vascular tree extraction for perforator flaps

Quan Wen, Jean Gao

Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005) https://doi.org/10.1117/12.596390
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

Perforator flaps have been increasingly used in the past few years for trauma and reconstructive surgical cases. With the thinned perforated flaps, greater survivability and decrease in donor site morbidity have been reported. Knowledge of the 3D vascular tree will provide insight information about the dissection region, vascular territory, and fascia levels. This paper presents a scheme of shape-based 3D vascular tree reconstruction of perforator flaps for plastic surgery planning, which overcomes the deficiencies of current existing shape-based interpolation methods by applying rotation and 3D repairing. The scheme has the ability to restore the broken parts of the perforator vascular tree by using a probability-based adaptive connection point search (PACPS) algorithm with minimum human intervention. The experimental results evaluated by both synthetic and 39 harvested cadaver perforator flaps show the promise and potential of proposed scheme for plastic surgery planning.

Citation Download Citation

Quan Wen and Jean Gao "Shape-based 3D vascular tree extraction for perforator flaps", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); https://doi.org/10.1117/12.596390

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