| Autor: |
Lauriot Dit Prevost A; Univ. Lille, CHU Lille, CERIM ULR 2694 METRICS, F-59000 Lille, France.; CHU Lille, Clinique de Chirurgie et Orthopédie de l'Enfant, F-59000 Lille, France., Bentegeac R; Univ. Lille, CHU Lille, CERIM ULR 2694 METRICS, F-59000 Lille, France., Dequesnes A; Univ. Lille, UMR 8026 CERAPS, F-59000 Lille, France., Billiau A; Univ. Lille, CHU Lille, CERIM ULR 2694 METRICS, F-59000 Lille, France., Baudelet E; Univ. Lille, CHU Lille, CERIM ULR 2694 METRICS, F-59000 Lille, France., Legleye R; Univ. Lille, CHU Lille, CERIM ULR 2694 METRICS, F-59000 Lille, France., Hubaut MA; CHU Lille, Médecine Nucléaire et Imagerie Fonctionnelle Salengro, F-59000, France., Cassagnou M; Univ. Lille, CHU Lille, CERIM ULR 2694 METRICS, F-59000 Lille, France., Puech P; Univ. Lille, Inserm, CHU Lille, U1189 - ONCO-THAI, F-59000 Lille, France., Besson R; CHU Lille, Clinique de Chirurgie et Orthopédie de l'Enfant, F-59000 Lille, France., Chazard E; Univ. Lille, CHU Lille, CERIM ULR 2694 METRICS, F-59000 Lille, France. |
| Abstrakt: |
Although paper-based transmission of medical information might seem outdated, it has proven efficient, and remains structurally safe from massive data leaks. As part of the ICIPEMIR project for improving medical imaging report, we explored the idea of structured data storage within a medical report, by embedding the data themselves in a QR-Code (and no URL-to-the-data). Three different datasets from ICIPEMIR were serialized, then encoded in a QR-Code. We compared 4 compression algorithms to reduce file size before QR-Encoding. YAML was the most concise format (character sparing), and allowed for embedding of a 2633-character serialized file within a QR-Code. The best compression rate was obtained with gzip, with a compression ratio of 2.32 in 15.7ms. Data were easily extracted and decompressed from a digital QR-Code using a simple command line. YAML file was also successfully recovered from the printed QR-Code with both Android and iOS smartphone. Minimal detected size was 3*3cm. |
