Literature DB >> 20959687

Biomechanical-based image registration for head and neck radiation treatment.

Adil Al-Mayah1, Joanne Moseley, Shannon Hunter, Mike Velec, Lily Chau, Stephen Breen, Kristy Brock.   

Abstract

Deformable image registration of four head and neck cancer patients has been conducted using a biomechanical-based model. Patient-specific 3D finite element models have been developed using CT and cone-beam CT image data of the planning and a radiation treatment session. The model consists of seven vertebrae (C1 to C7), mandible, larynx, left and right parotid glands, tumor and body. Different combinations of boundary conditions are applied in the model in order to find the configuration with a minimum registration error. Each vertebra in the planning session is individually aligned with its correspondence in the treatment session. Rigid alignment is used for each individual vertebra and the mandible since no deformation is expected in the bones. In addition, the effect of morphological differences in the external body between the two image sessions is investigated. The accuracy of the registration is evaluated using the tumor and both parotid glands by comparing the calculated Dice similarity index of these structures following deformation in relation to their true surface defined in the image of the second session. The registration is improved when the vertebrae and mandible are aligned in the two sessions with the highest average Dice index of 0.86 ± 0.08, 0.84 ± 0.11 and 0.89 ± 0.04 for the tumor, left and right parotid glands, respectively. The accuracy of the center of mass location of tumor and parotid glands is also improved by deformable image registration where the errors in the tumor and parotid glands decrease from 4.0 ± 1.1, 3.4 ± 1.5 and 3.8 ± 0.9 mm using rigid registration to 2.3 ± 1.0, 2.5 ± 0.8 and 2.0 ± 0.9 mm in the deformable image registration when alignment of vertebrae and mandible is conducted in addition to the surface projection of the body.

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Year:  2010        PMID: 20959687     DOI: 10.1088/0031-9155/55/21/010

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  16 in total

1.  Evaluation and optimization of the parameters used in multiple-atlas-based segmentation of prostate cancers in radiation therapy.

Authors:  Wicger K H Wong; Lucullus H T Leung; Dora L W Kwong
Journal:  Br J Radiol       Date:  2015-11-05       Impact factor: 3.039

2.  Patient-specific biomechanical model as whole-body CT image registration tool.

Authors:  Mao Li; Karol Miller; Grand Roman Joldes; Barry Doyle; Revanth Reddy Garlapati; Ron Kikinis; Adam Wittek
Journal:  Med Image Anal       Date:  2015-01-30       Impact factor: 8.545

3.  Utility and validation of biomechanical deformable image registration in low-contrast images.

Authors:  Michael Velec; Titania Juang; Joanne L Moseley; Mark Oldham; Kristy K Brock
Journal:  Pract Radiat Oncol       Date:  2015-03-29

4.  Quality assurance assessment of diagnostic and radiation therapy-simulation CT image registration for head and neck radiation therapy: anatomic region of interest-based comparison of rigid and deformable algorithms.

Authors:  Abdallah S R Mohamed; Manee-Naad Ruangskul; Musaddiq J Awan; Charles A Baron; Jayashree Kalpathy-Cramer; Richard Castillo; Edward Castillo; Thomas M Guerrero; Esengul Kocak-Uzel; Jinzhong Yang; Laurence E Court; Michael E Kantor; G Brandon Gunn; Rivka R Colen; Steven J Frank; Adam S Garden; David I Rosenthal; Clifton D Fuller
Journal:  Radiology       Date:  2014-11-07       Impact factor: 11.105

5.  Biomechanical modeling of neck flexion for deformable alignment of the salivary glands in head and neck cancer images.

Authors:  Molly M McCulloch; Brian M Anderson; Guillaume Cazoulat; Christine B Peterson; Abdallah S R Mohamed; Stefania Volpe; Hesham Elhalawani; Houda Bahig; Bastien Rigaud; Jason B King; Alexandra C Ford; Clifton D Fuller; Kristy K Brock
Journal:  Phys Med Biol       Date:  2019-09-05       Impact factor: 3.609

6.  Automatic deformable surface registration for medical applications by radial basis function-based robust point-matching.

Authors:  Youngjun Kim; Yong Hum Na; Lei Xing; Rena Lee; Sehyung Park
Journal:  Comput Biol Med       Date:  2016-08-11       Impact factor: 4.589

7.  4D liver tumor localization using cone-beam projections and a biomechanical model.

Authors:  You Zhang; Michael R Folkert; Bin Li; Xiaokun Huang; Jeffrey J Meyer; Tsuicheng Chiu; Pam Lee; Joubin Nasehi Tehrani; Jing Cai; David Parsons; Xun Jia; Jing Wang
Journal:  Radiother Oncol       Date:  2018-11-14       Impact factor: 6.280

8.  A finite element head and neck model as a supportive tool for deformable image registration.

Authors:  Jihun Kim; Kazuhiro Saitou; Martha M Matuszak; James M Balter
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-12-24       Impact factor: 2.924

9.  Enhancing liver tumor localization accuracy by prior-knowledge-guided motion modeling and a biomechanical model.

Authors:  You Zhang; Michael R Folkert; Xiaokun Huang; Lei Ren; Jeffrey Meyer; Joubin Nasehi Tehrani; Robert Reynolds; Jing Wang
Journal:  Quant Imaging Med Surg       Date:  2019-07

10.  A multi-institution evaluation of deformable image registration algorithms for automatic organ delineation in adaptive head and neck radiotherapy.

Authors:  Nicholas Hardcastle; Wolfgang A Tomé; Donald M Cannon; Charlotte L Brouwer; Paul W H Wittendorp; Nesrin Dogan; Matthias Guckenberger; Stéphane Allaire; Yogish Mallya; Prashant Kumar; Markus Oechsner; Anne Richter; Shiyu Song; Michael Myers; Bülent Polat; Karl Bzdusek
Journal:  Radiat Oncol       Date:  2012-06-15       Impact factor: 3.481

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