Portal de Periódicos da CAPES

Imaging outcomes from The National Library of Medicine's Visible Human Project®

2000; Elsevier BV; Volume: 24; Issue: 3 Linguagem: Inglês

10.1016/s0895-6111(00)00012-4

1879-0771

Michael J. Ackerman, R.A Banvard,

Radiomics and Machine Learning in Medical Imaging

We developed multi-scale, live-time interactive visualization of color image data, including microscopic whole-mouse cryo-images serving many biomedical applications. Using true-color volume rendering, we interactively, selectively enhanced anatomy using feature detection. For example, to enhance red organs (vessels, liver, etc.) and internal surfaces, we computed a red feature from R/(R + G + B) and surface features from color/gray-scale gradients, respectively. For >70 GB cryo-image volumes, we developed multi-resolution visualization, which provided low-resolution rendering of an entire mouse and zooming to organs, tissues, and cells. Fusions of fluorescence and color cryo-volumes uniquely showed biodistribution of metastatic and stem cells within an anatomical context.