Multi-focus image fusion for bacilli images in conventional sputum smear microscopy for tuberculosis. (March 2019)

• Record Type: Journal Article
• Authors: Costa, M.G.F.; Pinto, K.M.B.; Fujimoto, L.B.M.; Ogusku, M.M.; Costa Filho, C.F.F.
• Is Part Of: Biomedical signal processing and control. Volume 49(2019)
• Page Start: 289
• Page End: 297
• Publication Date: 2019-03
• Subjects: Tuberculosis -- Bacilli -- Multi-focus -- Image processing -- Image fusion -- Depth of field -- Light field microscopy; Signal processing -- Periodicals; Biomedical engineering -- Periodicals; Signal Processing, Computer-Assisted -- Periodicals; Image Processing, Computer-Assisted -- Periodicals; Biomedical Engineering -- Periodicals; 610.28
• DOI: 10.1016/j.bspc.2018.12.018
• Languages: English
• ISSNs: 1746-8094

Abstract

Highlights: Bacilli observed in a light sputum smear microscopy are often thicker than the depth of focus. Obtaining a fused image with all bacilli in focus is an important contribution to automated tuberculosis diagnosis. Perception studies indicate that the best fusion strategy is task dependent. There are no previous studies on the fusion method applied to sputum smear microscopy for Tuberculosis. The proposed method provides superior quality of focus and satisfactory quality of original information preservation. Abstract: Bright-field microscopy of sputum samples is still the most widely used Tuberculosis (TB) diagnostic method in countries facing a high incidence of TB. However, this diagnostic method, because it is a visual analysis, requires attention and training of those who perform it, and presents high intra- and inter-observed variation. As a result, many research groups are working on methods of automatic detection of bacilli, aiming to automate this process. The fact that not all of the bacilli present in the examined microscope field are in focus increases the challenge faced by researchers in obtaining automatic methods of detecting bacilli. Fusion images can be a means of overcoming this problem, combining multiple images, from the same field, with diverse focuses into a single focused one. In this paper, we present a multi-focus image fusion method applied to conventional sputum smear microscopy images. The goal is to establish the best method to obtain an extended focus microscopy image where all bacilli present in the field are in focus. The proposed method was compared with three other techniques from the literature by using Variance and Multichannel Q AB/F metrics. The proposed method exhibited the best balance of quality evidence (focus and preservation of information).