Robust spectral analysis of videocapsule images acquired from celiac disease patients

BioMedical Engineering OnLine

Edward J Ciaccio¹  Christina A Tennyson¹  Govind Bhagat²  Suzanne K Lewis¹  Peter HR Green¹ 

[1] Department of Medicine - Celiac Disease Center, Columbia University, New York, USA

[2] Department of Pathology and Cell Biology, Columbia University, New York, USA

关键词: spectral analysis;    small intestine;    Fourier transform;    ensemble average;    celiac disease;   

Others  :  798216
DOI  :  10.1186/1475-925X-10-78

 received in 2011-05-24, accepted in 2011-09-09,  发布年份 2011

【 摘 要 】

Background

Dominant frequency (DF) analysis of videocapsule endoscopy images is a new method to detect small intestinal periodicities that may result from mechanical rhythms such as peristalsis. Longer periodicity is related to greater image texture at areas of villous atrophy in celiac disease. However, extraneous features and spatiotemporal phase shift may mask DF rhythms.

Method

The robustness of Fourier and ensemble averaging spectral analysis to compute DF was tested. Videocapsule images from the distal duodenum of 11 celiac patients (frame rate 2/s and pixel resolution 576 × 576) were analyzed. For patients 1, 2, ... 11, respectively, a total of 10, 11, ..., 20 sequential images were extracted from a randomly selected time epoch. Each image sequence was artificially repeated to 200 frames, simulating periodicities of 0.2, 0.18, ..., 0.1Hz, respectively. Random white noise at four different levels, spatiotemporal phase shift, and frames with air bubbles were added. Power spectra were constructed pixel-wise over 200 frames, and an average spectrum was computed from the 576 × 576 individual spectra. The largest spectral peak in the average spectrum was the estimated DF. Error was defined as the absolute difference between actual DF and estimated DF.

Results

For Fourier analysis, the mean absolute error between estimated and actual DF was 0.032 ± 0.052Hz. Error increased with greater degree of random noise imposed. In contrast, all ensemble average estimates precisely predicted the simulated DF.

Conclusions

The ensemble average DF estimate of videocapsule images with simulated periodicity is robust to noise and spatiotemporal phase shift as compared with Fourier analysis. Accurate estimation of DF eliminates the need to impose complex masking, extraction, and/or corrective preprocessing measures.

【 授权许可】

   
2011 Ciaccio et al; licensee BioMed Central Ltd.

【 图 表 】

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