Webinar Monday 10/16/17 10am EST, "Quantifying image quality of Whole Slide Imaging (WSI) scanners" by Prarthana Shrestha (Philips)
Hi all, following up on our successful meeting at Pathology Informatics last May, we thought it would be interesting and educational for our WG members to organize a series of webinars on WSI-related topics. We kick-off this effort with a talk by Philips’ Prarthana Shrestha on WSI Image Quality. See Title and Abstract below as well as login information.
Please attend and bring any questions and comments so we can have a nice discussion following the presentation.
You may also be interested to know that Aldo Badano from the FDA/CDRH Division of Imaging, Diagnostics, and Software Reliability will be presenting at Pathology Visions on “Interoperability and Component Testing in Whole-Slide Imaging Systems: Lessons from the regulatory history of accessories in radiology.”
On behalf of the organizing committee,
Marios Gavrielides, Ph.D.
Title: Quantifying image quality of Whole Slide Imaging (WSI) scanners
Abstract: The quality of an image produced by the Whole Slide Imaging (WSI) scanners is of critical importance for using the image in clinical diagnosis. Therefore, it is very important to monitor and ensure the quality of images. Since subjective image quality assessments by pathologists are very time-consuming, expensive and difficult to reproduce, we propose a method for objective assessment based on clinically relevant and perceptual image parameters: sharpness, contrast, brightness, uniform illumination and color separation; derived from a survey of pathologists. We developed techniques to quantify the parameters based on content-dependent absolute pixel performance and to manipulate the parameters in a predefined range resulting in images with content-independent relative quality measures. The method does not require a prior reference model. A subjective assessment of the image quality is performed involving 69 pathologists and 372 images (including 12 optimal quality images and their distorted versions per parameter at 6 different levels). The results of the subjective assessment support the validity of the proposed objective image quality assessment method to model the readers' perception of image quality. The subjective assessment also provides thresholds for determining the acceptable level of objective quality per parameter. The images for both the subjective and objective quality assessment are based on the HercepTest slides scanned by the Philips Ultra Fast Scanners, developed at Philips Digital Pathology Solutions. However, the method is applicable also to other types of slide stains and scanners. The method was successfully applied to evaluate WSI scanner reproducibility.
WSI WG webinar by Philips: Quantifying image quality of WSI scanners
Monday, October 16, 2017
10:00 am | Eastern Daylight Time (New York, GMT-04:00) | 1 hr
Meeting number: 748 117 909
Meeting password: 1234
When it's time, join the meeting.
Join by phone
toll free: 1-855-828-1770
Your Cisco Unified MeetingPlace meeting ID: 748 117 909
IMPORTANT NOTICE: Please note that this WebEx service allows audio and other information sent during the session to be recorded, which may be discoverable in a legal matter. By joining this session, you automatically consent to such recordings. If you do not consent to being recorded, discuss your concerns with the host or do not join the session.