TY - GEN
T1 - A TBP DICOM format for total-body scanner-independent lesion evolution detection
AU - Xue, Minghao
AU - Huang, Wei Lun
AU - Tashayyod, Davood
AU - Kang, Jun
AU - Gandjbakhche, Amir
AU - Armand, Mehran
N1 - Publisher Copyright:
© 2025 SPIE.
PY - 2025
Y1 - 2025
N2 - Total-body photography (TBP) has the potential to revolutionize early detection of skin cancers by monitoring minute changes in lesions over time. However, there is no standardized Digital Imaging and Communications in Medicine (DICOM) format for TBP. In order to accommodate various TBP data types and sophisticated data preprocessing pipelines, we propose three TBP Extended Information Object Definitions (IODs) for 2D regional images, dermoscopy images, and 3D surface meshes. We introduce a comprehensive pipeline integrating advanced image processing techniques, including 3D DICOM representation, super-resolution enhancement, and style transfer for dermoscopic-like visualization. Our framework tracks individual lesions across multiple TBP scans from different imaging systems and provides cloud-based storage with a customized DICOM viewer. To demonstrate the effectiveness of our approach, we validate our framework using TBP datasets from multiple imaging systems. Our framework and proposed IODs enhance TBP interoperability and clinical utility in dermatological practice, potentially improving early skin cancer detection.
AB - Total-body photography (TBP) has the potential to revolutionize early detection of skin cancers by monitoring minute changes in lesions over time. However, there is no standardized Digital Imaging and Communications in Medicine (DICOM) format for TBP. In order to accommodate various TBP data types and sophisticated data preprocessing pipelines, we propose three TBP Extended Information Object Definitions (IODs) for 2D regional images, dermoscopy images, and 3D surface meshes. We introduce a comprehensive pipeline integrating advanced image processing techniques, including 3D DICOM representation, super-resolution enhancement, and style transfer for dermoscopic-like visualization. Our framework tracks individual lesions across multiple TBP scans from different imaging systems and provides cloud-based storage with a customized DICOM viewer. To demonstrate the effectiveness of our approach, we validate our framework using TBP datasets from multiple imaging systems. Our framework and proposed IODs enhance TBP interoperability and clinical utility in dermatological practice, potentially improving early skin cancer detection.
KW - AI
KW - DICOM
KW - Total Body Photography
UR - https://www.scopus.com/pages/publications/105004340291
UR - https://www.scopus.com/pages/publications/105004340291#tab=citedBy
U2 - 10.1117/12.3040265
DO - 10.1117/12.3040265
M3 - Conference contribution
AN - SCOPUS:105004340291
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables VI
A2 - Shadgan, Babak
A2 - Gandjbakhche, Amir H.
PB - SPIE
T2 - Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables VI 2025
Y2 - 25 January 2025 through 26 January 2025
ER -