Panning artifacts in digital pathology images

Ali R.N. Avanaki, Christian Lanciault, Kathryn S. Espig, Albert Xthona, Tom R.L. Kimpe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In making a pathologic diagnosis, a pathologist uses cognitive processes: perception, attention, memory, and search (Pena and Andrade-Filho, 2009). Typically, this involves focus while panning from one region of a slide to another, using either a microscope in a traditional workflow or software program and display in a digital pathology workflow (DICOM Standard Committee, 2010). We theorize that during panning operation, the pathologist receives information important to diagnosis efficiency and/or correctness. As compared to an optical microscope, panning in a digital pathology image involves some visual artifacts due to the following: (i) the frame rate is finite; (ii) time varying visual signals are reconstructed using imperfect zero-order hold. Specifically, after pixel's digital drive is changed, it takes time for a pixel to emit the expected amount of light. Previous work suggests that 49% of navigation is conducted in low-power/overview with digital pathology (Molin et al., 2015), but the influence of display factors has not been measured. We conducted a reader study to establish a relationship between display frame rate, panel response time, and threshold panning speed (above which the artifacts become noticeable). Our results suggest visual tasks that involve tissue structure are more impacted by the simulated panning artifacts than those that only involve color (e.g., staining intensity estimation), and that the panning artifacts versus normalized panning speed has a peak behavior which is surprising and may change for a diagnostic task. This is work in progress and our final findings should be considered in designing future digital pathology systems.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2017
Subtitle of host publicationDigital Pathology
EditorsMetin N. Gurcan, John E. Tomaszewski
PublisherSPIE
ISBN (Electronic)9781510607255
DOIs
StatePublished - 2017
EventMedical Imaging 2017: Digital Pathology - Orlando, United States
Duration: Feb 12 2017Feb 13 2017

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10140
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2017: Digital Pathology
Country/TerritoryUnited States
CityOrlando
Period2/12/172/13/17

Keywords

  • Anthropomorphic model observer
  • Color perception
  • Human visual system

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

Fingerprint

Dive into the research topics of 'Panning artifacts in digital pathology images'. Together they form a unique fingerprint.

Cite this