Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
FUSION OF BRUSHLET AND WAVELET DENOISING METHODS FOR NUCLEAR IMAGES
 

Summary: FUSION OF BRUSHLET AND WAVELET DENOISING
METHODS FOR NUCLEAR IMAGES
E. Angelini, Y. Jin, P. Esser, R. Van Heertum, A. Laine
Columbia University, New York, USA
ABSTRACT
This paper presents preliminary results on the fusion of
denoised PET and SPECT data volumes from brushlet
and wavelet thresholding methods. Texture-based
brushlet denoising is well suited for enhancement of
physiological information while wavelet-based denoising
is better suited for enhancement of anatomical contours.
A three-dimensional multi-scale edge-based data fusion
algorithm is applied to combine enhanced data from these
two independent denoising methods. Preliminary results
with qualitative evaluation of PET and SPECT data by an
expert clinician showed great potential of this approach to
combine enhancement of both anatomical and
physiological signal information for improved image
quality.
1. INTRODUCTION

  

Source: Angelini, Elsa -Département Traitement du Signal et des Images, Telecom ParisTech

 

Collections: Engineering; Biology and Medicine