3D Markup of Radiological Images in ePAD, a Web-Based Image Annotation Tool

• Published in: 2015 IEEE 28th International Symposium on Computer-Based Medical Systems pp. 97 - 102
• Main Authors: Moreira, Dilvan A., Hage, Cleber, Luque, Edson F., Willrett, Debra, Rubin, Daniel L.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 01.06.2015
• Subjects: 3D image annotation; 3D web interfaces; Annotations; Biomedical imaging; Browsers; cancer; ePAD; Lesions; Medical; Paints; radiological reports; Radiology; Three dimensional; Three-dimensional displays; tracking lesions; Two dimensional; Visualization; WebGL
• ISSN: 1063-7125; 2372-9198
• DOI: 10.1109/CBMS.2015.46

Quantitative and semantic information about medical images are vital parts of a radiological report. However, current image viewing systems do not record it in a format that permits machine interpretation. The ePAD tool can generate machine-computable image annotations on 2D images as part of a radiologist's routine workflow. The tool has been evaluated in image studies with good results. Since ePAD currently only provides 2D visualization and annotation of images, we developed a plugin to ePAD for the visualization of volumetric image datasets, using the three planes: axial, frontal and sagittal. A study with 6 radiologists was carried out to determine the best interface for also marking 3D ROIs. Video prototypes were created for 3 options: join pixels based on intensity similarity, detect borders around image features, and paint ROIs using a spheric 3D cursor. The 3D cursor was the preferred option. We present these results and also show the final 3D cursor implementation.