1 / 17

Digital Breast Tomosynthesis: Future of visualization

Digital Breast Tomosynthesis: Future of visualization. MIIT – 2013 Toronto Ketan Thanki. FFDM Vs DBT. Single Frame images Conventional Data sets Established workflow. Multi-Frame image stacks Larger Data sets Intensive workflow: dynamic browsing through image stacks.

peggy
Download Presentation

Digital Breast Tomosynthesis: Future of visualization

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Digital Breast Tomosynthesis: Future of visualization MIIT – 2013 Toronto Ketan Thanki MIIT 2013

  2. FFDM Vs DBT • Single Frame images • Conventional Data sets • Established workflow • Multi-Frame image stacks • Larger Data sets • Intensive workflow: dynamic browsing through image stacks • Full Field Digital Mammography • Digital Breast Tomosysnthesis

  3. Visualization challenges of DBT study 1 • Limitation of LCD response & cine through multiple images 2 • Detection probability while scrolling through slices 3 • Workflow & Time to interpret

  4. Limitation of LCD response & cine through multiple images 1 • LCD Response time deceiving • 20ms of Frame time • 50+ ms of transition time • Large Variations in transition times • 2-3 Frames to refresh • Result: Blurring

  5. Blurring on traditional FFDM display during cine

  6. 2 • Detection probability while scrolling through slices [Lia06] Temporal Response Measurements of Medical Liquid Crystal Displays, Hongye Liang and Aldo Badano, SPIE medical Imaging 2006 • Slow average transition times • Blurring when browsing through image stack • Result: Masking of subtle image features • Eg. On a typical 5 MegaPixel medical display, the fastest transition is +/- 15ms while the slowest transition requires 150ms (more than 10 display frames) to complete (source: [Lia06])

  7. Subtle details during cine

  8. 3 • Workflow & Time to interpret • Pan/Zoom • Flicker… • Magnify • (Continuous zoom) • Freeze & focus… • Toggle comparison • Slow fading…

  9. Some Technologies

  10. Rapidframe • Blurring during cine • Smooth cine

  11. Rapidframe Clinical pilot results: • Browsing speed: 25 slices/second • 10% higher AUC compared to FFDM display • Statistically significant

  12. Ultra high luminance x2 x1

  13. Ultra-high Luminance: • PACS display • = 500 cd/m2 • Tomo display = 1000cd/m2 • “Hot light”= 2000 cd/m2 Hot Light tool Temporary boost for subtle details

  14. JNDs: Visible shades of gray Hot Light tool Temporary boost for subtle details

  15. Quantification of Detection Probabilityof Microcalcifications at Increased DisplayLuminance Levels

  16. Tomosynthesis Displays:Three factors for efficient reading time and accuracy • Cine without blur technology • Ultra-high luminance • with “Hot light” for subtle details • Display controller with enough memory to hold large stacks of images • 10-bit imaging:Synchronized to display refresh rate & frame rate

  17. References • Medical Display optimized for Digital Breast Tomosynthesis • T Kimpe, MS, Kortrijk, _ BEL; A Xthona; C Marchessoux • Quantification of Detection Probability of Micro-calcifications at Increased Display Luminance Levels • Tom R.L. Kimpe and Albert Xthona • Multimodality breast imaging using RapidFrame™ • Albert Xthona

More Related