Literature DB >> 17153421

Deformable registration of 4D computed tomography data.

Eike Rietzel1, George T Y Chen.   

Abstract

Four-dimensional radiotherapy requires deformable registration to track delivered dose across varying anatomical states. Deformable registration based on B-splines was implemented to register 4D computed tomography data to a reference respiratory phase. To assess registration performance, anatomical landmarks were selected across ten respiratory phases in five patients. These point landmarks were transformed according to global registration parameters between different respiratory phases. Registration uncertainties were computed by subtraction of transformed and reference landmark positions. The selection of appropriate registration masks to separate independently moving anatomical subunits is crucial to registration performance. The average registration error for five landmarks for each of five patients was 2.1 mm. This level of accuracy is acceptable for most radiotherapy applications.

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Year:  2006        PMID: 17153421     DOI: 10.1118/1.2361077

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  24 in total

1.  A stochastic approach to estimate the uncertainty of dose mapping caused by uncertainties in b-spline registration.

Authors:  Martina Hub; Christian Thieke; Marc L Kessler; Christian P Karger
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

2.  Development of a novel post-processing treatment planning platform for 4D radiotherapy.

Authors:  Lan Lin; Chengyu Shi; Yaxi Liu; Gregory Swanson; Nikos Papanikolaou
Journal:  Technol Cancer Res Treat       Date:  2008-04

Review 3.  Functional imaging: CT and MRI.

Authors:  Edwin J R van Beek; Eric A Hoffman
Journal:  Clin Chest Med       Date:  2008-03       Impact factor: 2.878

4.  Objective assessment of deformable image registration in radiotherapy: a multi-institution study.

Authors:  Rojano Kashani; Martina Hub; James M Balter; Marc L Kessler; Lei Dong; Lifei Zhang; Lei Xing; Yaoqin Xie; David Hawkes; Julia A Schnabel; Jamie McClelland; Sarang Joshi; Quan Chen; Weiguo Lu
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

5.  Comparison of intensity-modulated radiotherapy planning based on manual and automatically generated contours using deformable image registration in four-dimensional computed tomography of lung cancer patients.

Authors:  Elisabeth Weiss; Krishni Wijesooriya; Viswanathan Ramakrishnan; Paul J Keall
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-12-19       Impact factor: 7.038

6.  Pulmonary nodule registration: rigid or nonrigid?

Authors:  Suicheng Gu; David Wilson; Jun Tan; Jiantao Pu
Journal:  Med Phys       Date:  2011-07       Impact factor: 4.071

7.  A distance to dose difference tool for estimating the required spatial accuracy of a displacement vector field.

Authors:  Nahla K Saleh-Sayah; Elisabeth Weiss; Francisco J Salguero; Jeffrey V Siebers
Journal:  Med Phys       Date:  2011-05       Impact factor: 4.071

8.  Deformable registration of the inflated and deflated lung in cone-beam CT-guided thoracic surgery: initial investigation of a combined model- and image-driven approach.

Authors:  Ali Uneri; Sajendra Nithiananthan; Sebastian Schafer; Yoshito Otake; J Webster Stayman; Gerhard Kleinszig; Marc S Sussman; Jerry L Prince; Jeffrey H Siewerdsen
Journal:  Med Phys       Date:  2013-01       Impact factor: 4.071

9.  Graphics Processing Unit-Accelerated Nonrigid Registration of MR Images to CT Images During CT-Guided Percutaneous Liver Tumor Ablations.

Authors:  Junichi Tokuda; William Plishker; Meysam Torabi; Olutayo I Olubiyi; George Zaki; Servet Tatli; Stuart G Silverman; Raj Shekher; Nobuhiko Hata
Journal:  Acad Radiol       Date:  2015-03-14       Impact factor: 3.173

10.  Four-dimensional deformable image registration using trajectory modeling.

Authors:  Edward Castillo; Richard Castillo; Josue Martinez; Maithili Shenoy; Thomas Guerrero
Journal:  Phys Med Biol       Date:  2010-01-07       Impact factor: 3.609

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