Indian Journal of Nuclear Medicine

ORIGINAL ARTICLE
Year
: 2014  |  Volume : 29  |  Issue : 4  |  Page : 235--240

Enhancement of positron emission tomography-computed tomography image quality using the principle of stochastic resonance


Anil Kumar Pandey1, Sanjay Kumar Sharma1, Punit Sharma1, Harmandeep Singh1, Chetan Patel1, Kaushik Sarkar2, Rakesh Kumar1, Chandra Sekhar Bal1 
1 Department of Nuclear Medicine, All India Institute of Medical Sciences, New Delhi, India
2 Department of Electronics and Communication Engineering, Narula Institute of Technology, Agarpara, Kolkata, West Bengal, India

Correspondence Address:
Rakesh Kumar
E-81, Ansari Nagar (East), All India Institute of Medical Sciences Campus, New Delhi - 110 029
India

Purpose: Acquisition of higher counts improves visual perception of positron emission tomography-computed tomography (PET-CT) image. Larger radiopharmaceutical doses (implies more radiation dose) are administered to acquire this count in a short time period. However, diagnostic information does not increase after a certain threshold of counts. This study was conducted to develop a post processing method based on principle of źDQ╗stochastic resonanceźDQ╗ to improve visual perception of the PET-CT image having a required threshold counts. Materials and Methods: PET-CT images (JPEG file format) with low, medium, and high counts in the image were included in this study. The image was corrupted with the addition of Poisson noise. The amplitude of the Poisson noise was adjusted by dividing each pixel by a constant 1, 2, 4, 8, 16, and 32. The best amplitude of the noise that gave best images quality was selected based on high value of entropy of the output image, high value of structural similarity index and feature similarity index. Visual perception of the image was evaluated by two nuclear medicine physicians. Results: The variation in structural and feature similarity of the image was not appreciable visually, but statistically images deteriorated as the noise amplitude increases although maintaining structural (above 70%) and feature (above 80%) similarity of input images in all cases. We obtained the best image quality at noise amplitude źDQ╗4źDQ╗ in which 88% structural and 95% feature similarity of the input images was retained. Conclusion: This method of stochastic resonance can be used to improve the visual perception of the PET-CT image. This can indirectly lead to reduction of radiation dose.


How to cite this article:
Pandey AK, Sharma SK, Sharma P, Singh H, Patel C, Sarkar K, Kumar R, Bal CS. Enhancement of positron emission tomography-computed tomography image quality using the principle of stochastic resonance.Indian J Nucl Med 2014;29:235-240


How to cite this URL:
Pandey AK, Sharma SK, Sharma P, Singh H, Patel C, Sarkar K, Kumar R, Bal CS. Enhancement of positron emission tomography-computed tomography image quality using the principle of stochastic resonance. Indian J Nucl Med [serial online] 2014 [cited 2021 Jul 23 ];29:235-240
Available from: https://www.ijnm.in/article.asp?issn=0972-3919;year=2014;volume=29;issue=4;spage=235;epage=240;aulast=Pandey;type=0