Literature DB >> 26745919

Accuracy of UTE-MRI-based patient setup for brain cancer radiation therapy.

Yingli Yang1, Minsong Cao1, Tania Kaprealian1, Ke Sheng1, Yu Gao1, Fei Han2, Caitlin Gomez1, Anand Santhanam1, Stephen Tenn1, Nzhde Agazaryan1, Daniel A Low1, Peng Hu2.   

Abstract

PURPOSE: Radiation therapy simulations solely based on MRI have advantages compared to CT-based approaches. One feature readily available from computed tomography (CT) that would need to be reproduced with MR is the ability to compute digitally reconstructed radiographs (DRRs) for comparison against on-board radiographs commonly used for patient positioning. In this study, the authors generate MR-based bone images using a single ultrashort echo time (UTE) pulse sequence and quantify their 3D and 2D image registration accuracy to CT and radiographic images for treatments in the cranium.
METHODS: Seven brain cancer patients were scanned at 1.5 T using a radial UTE sequence. The sequence acquired two images at two different echo times. The two images were processed using an in-house software to generate the UTE bone images. The resultant bone images were rigidly registered to simulation CT data and the registration error was determined using manually annotated landmarks as references. DRRs were created based on UTE-MRI and registered to simulated on-board images (OBIs) and actual clinical 2D oblique images from ExacTrac™.
RESULTS: UTE-MRI resulted in well visualized cranial, facial, and vertebral bones that quantitatively matched the bones in the CT images with geometric measurement errors of less than 1 mm. The registration error between DRRs generated from 3D UTE-MRI and the simulated 2D OBIs or the clinical oblique x-ray images was also less than 1 mm for all patients.
CONCLUSIONS: UTE-MRI-based DRRs appear to be promising for daily patient setup of brain cancer radiotherapy with kV on-board imaging.

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Mesh:

Year:  2016        PMID: 26745919      PMCID: PMC6961699          DOI: 10.1118/1.4938266

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


  17 in total

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5.  Computation of digitally reconstructed radiographs for use in radiotherapy treatment design.

Authors:  G W Sherouse; K Novins; E L Chaney
Journal:  Int J Radiat Oncol Biol Phys       Date:  1990-03       Impact factor: 7.038

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7.  CT substitute derived from MRI sequences with ultrashort echo time.

Authors:  Adam Johansson; Mikael Karlsson; Tufve Nyholm
Journal:  Med Phys       Date:  2011-05       Impact factor: 4.071

8.  SPIRiT: Iterative self-consistent parallel imaging reconstruction from arbitrary k-space.

Authors:  Michael Lustig; John M Pauly
Journal:  Magn Reson Med       Date:  2010-08       Impact factor: 4.668

9.  Toward magnetic resonance-only simulation: segmentation of bone in MR for radiation therapy verification of the head.

Authors:  Huan Yu; Curtis Caldwell; Judith Balogh; Katherine Mah
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-05-03       Impact factor: 7.038

10.  Accuracy of inverse treatment planning on substitute CT images derived from MR data for brain lesions.

Authors:  Joakim H Jonsson; Mohammad M Akhtari; Magnus G Karlsson; Adam Johansson; Thomas Asklund; Tufve Nyholm
Journal:  Radiat Oncol       Date:  2015-01-10       Impact factor: 3.481

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  7 in total

Review 1.  MR-guided radiation therapy: transformative technology and its role in the central nervous system.

Authors:  Yue Cao; Chia-Lin Tseng; James M Balter; Feifei Teng; Hemant A Parmar; Arjun Sahgal
Journal:  Neuro Oncol       Date:  2017-04-01       Impact factor: 12.300

Review 2.  MRI-only treatment planning: benefits and challenges.

Authors:  Amir M Owrangi; Peter B Greer; Carri K Glide-Hurst
Journal:  Phys Med Biol       Date:  2018-02-26       Impact factor: 3.609

3.  Generating synthetic CTs from magnetic resonance images using generative adversarial networks.

Authors:  Hajar Emami; Ming Dong; Siamak P Nejad-Davarani; Carri K Glide-Hurst
Journal:  Med Phys       Date:  2018-06-14       Impact factor: 4.071

4.  Image Guided Radiation Therapy Using Synthetic Computed Tomography Images in Brain Cancer.

Authors:  Ryan G Price; Joshua P Kim; Weili Zheng; Indrin J Chetty; Carri Glide-Hurst
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-03-10       Impact factor: 7.038

5.  Using synthetic CT for partial brain radiation therapy: Impact on image guidance.

Authors:  Eric D Morris; Ryan G Price; Joshua Kim; Lonni Schultz; M Salim Siddiqui; Indrin Chetty; Carri Glide-Hurst
Journal:  Pract Radiat Oncol       Date:  2018-04-06

6.  Clinical feasibility of MR-generated synthetic CT images of the cervical spine: Diagnostic performance for detection of OPLL and comparison of CT number.

Authors:  Hee Seok Jeong; Chankue Park; Kang Soo Kim; Jin Hyeok Kim; Chang Ho Jeon
Journal:  Medicine (Baltimore)       Date:  2021-05-07       Impact factor: 1.889

7.  Do we need a new CT scan for retreatment of intracranial SRS patients?

Authors:  David Wiant; Matthew Manning; Kyle Koch; Jacqueline Maurer; Lane Hayes; Han Liu; Qingyang Shang; Benjamin Sintay
Journal:  J Appl Clin Med Phys       Date:  2017-08-03       Impact factor: 2.102

  7 in total

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