Feature-enhancing zoom to facilitate Ki-67 hot spot detection
Paper i proceeding, 2014

Image processing algorithms in pathology commonly include automated decision points such as classifications. While this enables efficient automation, there is also a risk that errors are induced. A different paradigm is to use image processing for enhancements without introducing explicit classifications. Such enhancements can help pathologists to increase efficiency without sacrificing accuracy. In our work, this paradigm has been applied to Ki-67 hot spot detection. Ki-67 scoring is a routine analysis to quantify the proliferation rate of tumor cells. Cell counting in the hot spot, the region of highest concentration of positive tumor cells, is a method increasingly used in clinical routine. An obstacle for this method is that while hot spot selection is a task suitable for low magnification, high magnification is needed to discern positive nuclei, thus the pathologist must perform many zooming operations. We propose to address this issue by an image processing method that increases the visibility of the positive nuclei at low magnification levels. This tool displays the modified version at low magnification, while gradually blending into the original image at high magnification. The tool was evaluated in a feasibility study with four pathologists targeting routine clinical use. In a task to compare hot spot concentrations, the average accuracy was 75±4.1% using the tool and 69±4.6% without it (n=4). Feedback on the system, gathered from an observer study, indicate that the pathologists found the tool useful and fitting in their existing diagnostic process. The pathologists judged the tool to be feasible for implementation in clinical routine.

clinical evaluation

cell nuclei

zoom interaction

color deconvolution

Författare

Jesper Molin

Chalmers, Tillämpad informationsteknologi, Interaktionsdesign (Chalmers)

K. Shaga Devan

Linköpings universitet

K. Wårdell

Linköpings universitet

Claes Lundström

Linköpings universitet

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Medical Imaging 2014: Digital Pathology; San Diego, CA; United States; 16 February 2014 through 17 February 2014

1605-7422 (ISSN)

Vol. 9041

Ämneskategorier

Medicinteknik

DOI

10.1117/12.2043512

ISBN

978-081949834-2

Mer information

Senast uppdaterat

2018-02-28