Medical rapid prototyping applications and methods
Ứng dụng và phương pháp tạo mẫu nhanh trong y học
Tác giả
Le Chi Hieu, N. Zlatov, J. Vander Sloten, E. Bohez, L. Khanh, P.H. Binh, P. Oris, Y. Toshev
Tên thành viên BIRALAB được in đậm và liên kết tới trang cá nhân.
Tóm tắt
<jats:sec><jats:title content-type="abstract-heading">Purpose</jats:title><jats:p>Aims to investigate medical rapid prototyping (medical RP) technology applications and methods based on reverse engineering (RE) and medical imaging data.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-heading">Design/methodology/approach</jats:title><jats:p>Medical image processing and RE are applied to construct three‐dimensional models of anatomical structures, from which custom‐made (personalized) medical applications are developed.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-heading">Findings</jats:title><jats:p>The investigated methods were successfully used for design and manufacturing of biomodels, surgical aid tools, implants, medical devices and surgical training models. More than 40 medical RP applications were implemented in Europe and Asia since 1999.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-heading">Research limitations/implications</jats:title><jats:p>Medical RP is a multi‐discipline area. It involves in many human resources and requires high skills and know‐how in both engineering and medicine. In addition, medical RP applications are expensive, especially for low‐income countries. These practically limit its benefits and applications in hospitals.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-heading">Practical implications</jats:title><jats:p>In order to transfer medical RP into hospitals successfully, a good link and close collaboration between medical and engineering sites should be established. Moreover, new medical applications should be developed in the way that does not change the traditional approaches that medical doctors (MD) were trained, but provides solutions to improve the diagnosis and treatment quality.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-heading">Originality/value</jats:title><jats:p>The presented state‐of‐the‐art medical RP is applied for diagnosis and treatment in the following medical areas: cranio‐maxillofacial and dental surgery, neurosurgery, orthopedics, orthosis and tissue engineering. The paper is useful for MD (radiologists and surgeons), biomedical and RP/CAD/CAM engineers.</jats:p></jats:sec>
Lĩnh vực liên quan
Công bố liên quan
- Báo cáo hội nghị2026
Machine Learning and Statistical Approach for Thyroid Cancer Detection
Tiếp cận kết hợp học máy và thống kê trong phát hiện ung thư tuyến giáp
Nguyen Thu Huyen, Nguyen Thi Yen Nhi, Ngo Phuong Minh, Nguyen Thuy Tien, Tran Anh Vu, Hoang Quang Huy, Pham Thi Viet Huong
Proceedings of the Fifth International Conference on Intelligent Systems and Networks, 283-292
- Bài báo tạp chí2026
Multichannel Learning Framework for Enhanced ECG Signal Classification Using Wavelet and MFCCs Features
Khung học đa kênh nâng cao độ chính xác phân loại tín hiệu điện tim dựa trên đặc trưng wavelet và hệ số MFCC
Tran Anh Vu, Mai Tat Chuyen, Nguyen Thi Diem Anh, Hoang Quang Huy, Pham Thi Viet Huong
Iranian Journal of Science and Technology, Transactions of Electrical Engineering
- Báo cáo hội nghị2025
A Hybrid 1D-CNN and Transformer Architecture for Differentiating Malignant Melanoma from Non-Melanoma Skin Cancers using Raman Spectroscopy
Kiến trúc lai ghép 1D-CNN và Transformer phân biệt u hắc tố ác tính với ung thư da không hắc tố bằng quang phổ Raman
Chu Duc Hoang, Nguyen Thanh Tung
2025 International Conference on Advanced Technologies for Communications (ATC), 1-6