Open AccessEnhancement of positron emission tomography-computed tomography image quality using the principle of stochastic resonance
Author(s) -
Anil Kumar Pandey,
Sanjay Sharma,
Punit Sharma,
Harmandeep Singh,
Chetan Patel,
Kaushik Sarkar,
Rakesh Kumar,
Chandra Sekhar Bal
Publication year - 2014
Publication title -
indian journal of nuclear medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.261
H-Index - 13
eISSN - 0972-3919
pISSN - 0974-0244
DOI - 10.4103/0972-3919.142626
Subject(s) - image quality , artificial intelligence , feature (linguistics) , positron emission tomography , image noise , noise (video) , similarity (geometry) , computer vision , medicine , structural similarity , pixel , nuclear medicine , pattern recognition (psychology) , computer science , image (mathematics) , philosophy , linguistics
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 "stochastic resonance" to improve visual perception of the PET-CT image having a required threshold counts.