Technology/ Title:MiiL – Bio Image Labeling Tool
vvViewer – interactive VR App.

MiiL is a medical image visualization system for diagnosis and surgical planning. This software reads the DICOM images directly and perform semi-automatic segmentation, measurement and other image adjustment processes. In the post-processing stage, it allows users to visualize the volume data with transfer function adjustment to highlight the image feature. MiiL lets the medical staffs interactively manipulate the data and provide visual effect that helps the communication between the patients and doctors.

VIML VR Viewer, a.k.a. vvViewer, is a visualization software for volume data. It is based on our self-developed Engine 3D library and Open VR and Qt. With texture-based volume rendering technique, users can view multiple volumetric datasets, which is processed in MiiL, in VR environment. Also, users can manipulate the display of image datasets with GUI in VR and observe volume data through cropping plane.

• Tan-Chi Ho, Horng-Shyang Liao, Bo-Yin Li, Charlie H. Chang, and San-Liang Chu, "Dynamic Window Level Change of Texture Mapping Based Volume Rendering in NCHC''s 3D VR Engine," The 2004 Computer Graphics Workshop (CGW 2004), Hsinchu, Taiwan, July 2004.
• Horng-Shyang Liao, Po-Ying Li, Cheng-Wei Ku, and Kuen-Long Tsai, "Diagnoses and Surgical Planning of Lung Cancer in Color-Enhanced 3D Visualization System," The Asia Pacific Association for Medical Informatics (APAMI 2006), Taipei, Taiwan, October 27-29, 2006.
• Cheng-Wei Ku, Kuen-Long Tsai and Po-Ying Li, "Medical Images Illustrator - A Flexible Image Processing System," In 2009 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2009), Sapporo, Japan, October 4-7 2009.
• Chia-Yang Sun and Cheng-Wei Ku, "Segmentation of Volume Data Based on 3D Lazy Snapping," In 2009 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2009), Sapporo, Japan, October 4-7 2009.