Name
Title | ||
|---|---|---|
Surface-Constrained Nonrigid Registration for Dose Monitoring in Prostate Cancer Radiotherapy |
Abstract | ||
|---|---|---|
This paper addresses the issue of cumulative dose estimation from cone beam computed tomography (CBCT) images in prostate cancer radiotherapy. It focuses on the dose received by the surfaces of the main organs at risk, namely the bladder and rectum. We have proposed both a surface-constrained dose accumulation approach and its extensive evaluation. Our approach relied on the nonrigid registration (NRR) of daily acquired CBCT images on the planning CT image. This proposed NRR method was based on a Demons-like algorithm, implemented in combination with mutual information metric. It allowed for different levels of geometrical constraints to be considered, ensuring a better point to point correspondence, especially when large deformations occurred, or in high dose gradient areas. The three following implementations: 1) full iconic NRR; 2) iconic NRR constrained with landmarks (LCNRR); 3) NRR constrained with full delineation of organs (DBNRR). To obtain reference data, we designed a numerical phantom based on finite-element modeling and image simulation. The methods were assessed on both the numerical phantom and real patient data in order to quantify uncertainties in terms of dose accumulation. The LCNRR method appeared to constitute a good compromise for dose monitoring in clinical practice. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TMI.2014.2314574 | Medical Imaging, IEEE Transactions |
Keywords | Field | DocType |
biological organs,cancer,computerised tomography,deformation,dosimetry,finite element analysis,geometry,image registration,information theory,medical image processing,patient monitoring,phantoms,physiological models,radiation therapy,CBCT image NRR,DBNRR method,LCNRR method,bladder surface dose,clinical practice,cone beam computed tomography,cumulative dose estimation,daily CBCT image acquisition,deformations,demons-like algorithm,dose accumulation uncertainty quantification,dose monitoring,finite element modeling,full iconic NRR,geometrical constraints,high dose gradient areas,image simulation,landmark constrained iconic NRR method,mutual information metric,numerical phantom design,organ at risk surface dose,organ delineation constrained NRR method,planning CT image,point to point correspondence,prostate cancer radiotherapy,rectum surface dose,reference data,surface-constrained dose accumulation approach,surface-constrained nonrigid registration,Cone beam computed tomography (CT),dose accumulation,nonrigid registration,prostate cancer,radiotherapy | Reference data (financial markets),Computer vision,Cumulative dose,Cone beam computed tomography,Imaging phantom,Radiation therapy,Artificial intelligence,Prostate cancer,Mutual information,Mathematics,Radiographic Image Enhancement | Journal |
Volume | Issue | ISSN |
33 | 7 | 0278-0062 |
Citations | PageRank | References |
2 | 0.36 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guillaume Cazoulat | 1 | 9 | 1.57 |
| Antoine Simon | 2 | 50 | 12.32 |
| Dumenil, A. | 3 | 2 | 0.36 |
| Khemara Gnep | 4 | 2 | 1.37 |