TY - JOUR
T1 - Efficient storage of microCT data preserving bone morphometry assessment
AU - Bartrina-Rapesta, Joan
AU - Aulí-Llinàs, Francesc
AU - Blanes, Ian
AU - Marcellin, Michael W.
AU - Sanchez, Victor
AU - Serra-Sagristà, Joan
N1 - Funding Information:
Joan Bartrina-Rapesta received the M.S., and Ph.D. degrees in Computer Science from the Universitat Autònoma de Barcelona, Spain, in 2006, and 2009, respectively. He was awarded with a doctoral fellowship from Universitat Autònoma de Barcelona. He collaborated in the development a JPEG2000 Part 1 implementation. His research interests includes image and video coding, and interactive image and video transmission.
Funding Information:
Victor Sanchez is an assistant professor, Department of Computer Science, University of Warwick, UK. His research interests are in the area of signal and information processing applied to image and video analysis, and communications. He has published over 30 technical papers and co-authored a book (Springer, 2012). His research has been funded by major agencies of Mexico, Canada, and Europe.
Publisher Copyright:
© 2015 Elsevier Ltd
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/7/1
Y1 - 2016/7/1
N2 - Preclinical micro-computed tomography (microCT) images are of utility for 3D morphological bone evaluation, which is of great interest in cancer detection and treatment development. This work introduces a compression strategy for microCTs that allocates specific substances in different Volumes of Interest (VoIs). The allocation procedure is conducted by the Hounsfield scale. The VoIs are coded independently and then grouped in a single DICOM-compliant file. The proposed method permits the use of different codecs, identifies and transmit data corresponding to a particular substance in the compressed domain without decoding the volume(s), and allows the computation of the 3D morphometry without needing to store or transmit the whole image. The proposed approach reduces the transmitted data in more than 90% when the 3D morphometry evaluation is performed in high density and low density bone. This work can be easily extended to other imaging modalities and applications that work with the Hounsfield scale.
AB - Preclinical micro-computed tomography (microCT) images are of utility for 3D morphological bone evaluation, which is of great interest in cancer detection and treatment development. This work introduces a compression strategy for microCTs that allocates specific substances in different Volumes of Interest (VoIs). The allocation procedure is conducted by the Hounsfield scale. The VoIs are coded independently and then grouped in a single DICOM-compliant file. The proposed method permits the use of different codecs, identifies and transmit data corresponding to a particular substance in the compressed domain without decoding the volume(s), and allows the computation of the 3D morphometry without needing to store or transmit the whole image. The proposed approach reduces the transmitted data in more than 90% when the 3D morphometry evaluation is performed in high density and low density bone. This work can be easily extended to other imaging modalities and applications that work with the Hounsfield scale.
KW - 3D morphometry
KW - DICOM
KW - Medical image compression
KW - Micro-CT
KW - Tomography
UR - http://www.scopus.com/inward/record.url?scp=84991011413&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.compeleceng.2015.06.020
DO - https://doi.org/10.1016/j.compeleceng.2015.06.020
M3 - Article
VL - 53
SP - 292
EP - 300
JO - Computers and Electrical Engineering
JF - Computers and Electrical Engineering
SN - 0045-7906
ER -
