DocumentCode :
3258148
Title :
Mesh reconstruction of hearing aid shells from unorganized 3D point-cloud
Author :
Tognola, Gabriella ; Parazzini, Marta ; Ravazzani, Paolo ; Grandori, Ferdinando ; Pesatori, Alessandro ; Norgia, Michele ; Svelto, Cesare
Author_Institution :
Inst. of Biomed. Eng., CNR, Milan, Italy
fYear :
2005
fDate :
38485
Firstpage :
42
Lastpage :
45
Abstract :
A novel system for 3D laser scanning and image reconstruction is applied to scan and reconstruct the surface of ear canal impressions, which are used by the current available technology to design silicon hearing aid shells (or earmolds). Earmolds couple the aid with the user´s ear and must fit the subject´s outer ear canal in order to assure good performance of the aid. The reconstructed ear impression can be digitally stored and directly passed to dedicated CAD 3D printing machines to model the silicon earmold and thus achieve the best possible fit. The system proposed is based on a couple of cameras and a commercial laser for the surface digitization and on a straightforward algorithm for image reconstruction of the acquired surface. Robustness to noise of the proposed reconstruction algorithm is determined by simulations with a synthetic test surface, resembling the shape of a real ear canal.
Keywords :
CAD/CAM; biomedical engineering; hearing aids; image reconstruction; laser applications in medicine; medical image processing; mesh generation; reverse engineering; silicon; 3D laser scanning; CAD 3D printing machines; Si; cameras; ear canal impressions; earmolds; hearing aid shells; image reconstruction; mesh reconstruction; reverse engineering; silicon hearing aid shells design; surface digitization; synthetic test surface; unorganized 3D point-cloud; Auditory system; Design automation; Ear; Image reconstruction; Irrigation; Optical design; Silicon; Surface emitting lasers; Surface fitting; Surface reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Imaging Systems and Techniques, 2005. IEEE International Workshop on
Print_ISBN :
0-7803-8922-0
Type :
conf
DOI :
10.1109/IST.2005.1594524
Filename :
1594524
Link To Document :
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