Paper
12 April 2002 Reconsidering bit depth for medial images: Is eight enough?
Edward Muka, Gregory G. Reiker
Author Affiliations +
Abstract
Based on observations made at our institution that diagnostic images could be read on cathode ray tube (CRT) displays controlled with 8-bit hardware, a reconsideration of the bit depth for primary interpretation of radiological images seemed in order. Using actual CRT performance and human visual system (HVS) models with target size, surround luminance and external noise parameters (detector, display and image), CRT luminance modulation as a function of bit depth is compared with the HVS detection threshold modulation. While best case HVS performance requires, at least, 10-bit control to avoid creating luminance artifacts, probable HVS performance is estimated when targets are small, surround luminance is not equal to target luminance and external noise is included as a mask. In this light, the HVS threshold modulation is elevated to such an extent that 8-bit hardware is sufficient. It is shown that when implemented in 8-bit space at the display, the DICOM display function standard creates additional noise and potentially, artifacts. Acceptable image display in an 8-bit space will be discussed with respect to display data representation alternatives such gamma space, which is based on the intrinsic (uncorrected) CRT display function.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Edward Muka and Gregory G. Reiker "Reconsidering bit depth for medial images: Is eight enough?", Proc. SPIE 4686, Medical Imaging 2002: Image Perception, Observer Performance, and Technology Assessment, (12 April 2002); https://doi.org/10.1117/12.462675
Lens.org Logo
CITATIONS
Cited by 7 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
CRTs

Modulation

Sensors

Target detection

Digital signal processing

Visualization

Spatial frequencies

Back to Top