Holding Eternity in One's Hand: First Three-Dimensional Reconstruction and Printing of the Heart from 2700 Years-Old Egyptian Mummy.
Raphael OlszewskiCaroline TilleuxJean-Philippe HastirLuc DelvauxEtienne DansePublished in: Anatomical record (Hoboken, N.J. : 2007) (2018)
The heart in ancient Egyptian mummification procedure is the central organ that should stay in place in the chest and waiting for the afterlife judgment. Here, we show the first case of three-dimensional (3D) CT scan reconstruction of a mummified heart from a person embalmed in Egypt around 2,700 years ago, and present a 3D printing of the same heart using a low-cost yet accurate 3D printer. A multi-slice computed tomography scanner was used to scan the mummy. We applied the following radiological protocol: 80 keV and 140 keV, 140 mAs, with a slice thickness of 0.9 mm. The mummified heart and ascending aorta were extracted with semi-automatic segmentation. We used a low-cost 3D printer (Up plus 2) using fusion deposition modeling technology. The 3D printed model was then painted with acrylic paint to color code structures of interest. The 3D CT multi-resolution imaging allows us to identify the gross anatomy of the heart, the ascending aorta, the pulmonary arteries, and the presence of multiple atherosclerosis lesions. Using 3D printed model we recognized upper auricle, vein cave inferior, and the two coronary arteries. The brachiocephalic artery, common carotid artery, and left subclavian artery were clearly cut to dissociate the heart from surrounding tissues. This multi-3D approach allows for a better understanding of complex and distorted anatomy of the mummified heart, of paleopathology (arteriosclerosis), and of mummification techniques. Anat Rec, 302:912-916, 2019. © 2018 Wiley Periodicals, Inc.
Keyphrases
- computed tomography
- heart failure
- low cost
- dual energy
- image quality
- atrial fibrillation
- positron emission tomography
- randomized controlled trial
- pulmonary artery
- high resolution
- coronary artery
- gene expression
- magnetic resonance imaging
- deep learning
- type diabetes
- cardiovascular disease
- machine learning
- aortic dissection
- minimally invasive
- transcatheter aortic valve replacement
- magnetic resonance