2D-3D registration for prostate radiation therapy based on a statistical model of transmission images

Medical Physics
Reshma MunbodhJames S Duncan

Abstract

In external beam radiation therapy of pelvic sites, patient setup errors can be quantified by registering 2D projection radiographs acquired during treatment to a 3D planning computed tomograph (CT). We present a 2D-3D registration framework based on a statistical model of the intensity values in the two imaging modalities. The model assumes that intensity values in projection radiographs are independently but not identically distributed due to the nonstationary nature of photon counting noise. Two probability distributions are considered for the intensity values: Poisson and Gaussian. Using maximum likelihood estimation, two similarity measures, maximum likelihood with a Poisson (MLP) and maximum likelihood with Gaussian (MLG), distribution are derived. Further, we investigate the merit of the model-based registration approach for data obtained with current imaging equipment and doses by comparing the performance of the similarity measures derived to that of the Pearson correlation coefficient (ICC) on accurately collected data of an anthropomorphic phantom of the pelvis and on patient data. Registration accuracy was similar for all three similarity measures and surpassed current clinical requirements of 3 mm for pelvic sites....Continue Reading

References

Dec 1, 1995·International Journal of Radiation Oncology, Biology, Physics·L Dong, A L Boyer
Dec 9, 1998·IEEE Transactions on Medical Imaging·G P PenneyD J Hawkes
Mar 11, 1999·Medical Image Analysis·M Yavuz, J A Fessler
Oct 6, 2000·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·J WeeseD J Hawkes
Apr 16, 2003·International Journal of Radiation Oncology, Biology, Physics·Sébastien ClippeChristian Carrie
Apr 22, 2003·IEEE Transactions on Medical Imaging·Ravi BansalJames S Duncan
Nov 11, 2003·IEEE Transactions on Medical Imaging·Harel LivyatanLeo Joskowicz
Nov 11, 2003·IEEE Transactions on Medical Imaging·Dejan TomazevicFranjo Pernus
Nov 24, 2004·IEEE Transactions on Medical Imaging·Jeongtae Kim, Jeffrey A Fessler
May 10, 2005·American Journal of Respiratory and Critical Care Medicine·Stanton A Glantz
Jan 10, 2006·IEEE Transactions on Medical Imaging·Dejan TomazevicFranjo Pernus
Oct 2, 2007·Seminars in Radiation Oncology·Jean-Pierre Bissonnette
Jan 1, 1983·IEEE Transactions on Medical Imaging·A MacovskiW R Brody
Jan 1, 1986·IEEE Transactions on Medical Imaging·A Ferraioli
May 24, 2008·International Journal of Radiation Oncology, Biology, Physics·Jean-Pierre BissonnetteDavid A Jaffray
May 1, 1987·IEEE Transactions on Pattern Analysis and Machine Intelligence·K S ArunS D Blostein
Apr 7, 2012·IEEE Transactions on Medical Imaging·Se Young Chun, Jeffrey A Fessler

❮ Previous
Next ❯

Citations

May 11, 2010·Medical Image Analysis·P MarkeljF Pernuš
Mar 29, 2016·BioMed Research International·Zichun ZhongWeihua Mao
Jun 19, 2012·Physics in Medicine and Biology·P SteiningerH Deutschmann
Jul 29, 2015·Journal of Applied Clinical Medical Physics·Yoshiki KubotaTakashi Nakano
Feb 13, 2015·Physics in Medicine and Biology·Yoshito OtakeJeffrey H Siewerdsen
Oct 17, 2020·Medical Image Analysis·Robert FryschGeorg Rose

❮ Previous
Next ❯

Related Concepts

Related Feeds

Aphasia

Aphasia affects the ability to process language, including formulation and comprehension of language and speech, as well as the ability to read or write. Here is the latest research on aphasia.