Photo-Stacking Technique for Neuroanatomical High-Definition Photography and 3-Dimensional Modeling

Abstract

Three-dimensional (3D) neuroanatomical knowledge is vital in neurosurgery. Technological advances improved 3D anatomical perception, but they are usually expensive and not widely available. The aim of the present study was to provide a detailed description of the photo-stacking technique for high-resolution neuroanatomical photography and 3D modeling. The photo-stacking technique was described in a step-by-step approach. The time for image acquisition, file conversion, processing, and final production was measured using 2 processing methods. The total number and file size of images are presented. Measures of central tendency and dispersion report the measured values. Ten models were used in both methods achieving 20 models with high-definition images. The mean number of acquired images was 40.6 (14-67), image acquisition time 51.50±18.8 s, file conversion time 250±134.6s, processing time 50.46±21.46s and 41.97±20.84s, and 3D reconstruction time was 4.29±0.74s and 3.89±0.60s for methods B and C, respectively. The mean file size of RAW files is 1010±452megabyte (MB) and 101.06±38.09MB for Joint Photographic Experts Group files after conversion. The mean size of the final image means size is 71.9±0.126MB, and the mean file size of the 3D model means is 37.4±0.516MB for both methods. The total equipment used was less expensive than other reported systems. The photo-stacking technique is a simple and inexpensive method to create 3D models and high-definition images that could prove valuable in neuroanatomy training.