Title
Sparse dose painting based on a dual-pass kinetic-oxygen mapping of dynamic PET images.
Abstract
Development of molecular imaging such as positron-emission tomography (PET) offers an opportunity to optimize radiotherapy treatment planning by conforming the dose distribution to physiological details within tumors, so called dose painting. Quantification of the acquired images and an efficient and practical dose prescription remain two key questions in this field. This paper proposes a novel framework to optimize the dose prescription based on dual-pass modeling of dynamic [18F]FMISO PET images. An optimization algorithm for sparse dose painting (SDP) is developed by minimizing a linear combination of two terms corresponding to the efficiency and total variation of the dose distribution with the constraint of a constant mean dose. Dose efficiency is defined using the linear-quadratic model. The radiosensitivity given by the oxygen tension is estimated using a dual-pass kinetic-oxygen mapping strategy. This is achieved by integrating a realistic [18F]FMISO PET imaging simulation model, which can simulate the distribution of oxygen and tracer under the same tumor microenvironment setting. The algorithm was compared with a typical dose painting by number (DPBN) method in one data set of a patient with head and neck cancer.
Year
DOI
Venue
2011
10.1007/978-3-642-23623-5_61
MICCAI
Keywords
Field
DocType
dose distribution,practical dose prescription,fmiso pet imaging simulation,dual-pass kinetic-oxygen mapping,dose efficiency,dose painting,fmiso pet image,dose prescription,constant mean dose,typical dose painting,dynamic pet image,sparse dose painting,radiation therapy
Computational simulation,Computer vision,Linear combination,Molecular imaging,Computer science,Radiotherapy treatment planning,Tomography,Optimization algorithm,Artificial intelligence,Positron emission tomography,FMISO
Conference
Volume
Issue
ISSN
14
Pt 1
0302-9743
Citations 
PageRank 
References 
0
0.34
7
Authors
7
Name
Order
Citations
PageRank
Kuangyu Shi1368.12
Sabrina T Astner200.34
Liang Sun300.34
Nassir Navab46594578.60
Fridtjof Nüsslin500.34
Peter Vaupel600.34
Jan J Wilkens700.68