Literature DB >> 15214541

Acquiring 4D thoracic CT scans using a multislice helical method.

P J Keall1, G Starkschall, H Shukla, K M Forster, V Ortiz, C W Stevens, S S Vedam, R George, T Guerrero, R Mohan.   

Abstract

Respiratory motion degrades anatomic position reproducibility during imaging, necessitates larger margins during radiotherapy planning and causes errors during radiation delivery. Computed tomography (CT) scans acquired synchronously with the respiratory signal can be used to reconstruct 4D CT scans, which can be employed for 4D treatment planning to explicitly account for respiratory motion. The aim of this research was to develop, test and clinically implement a method to acquire 4D thoracic CT scans using a multislice helical method. A commercial position-monitoring system used for respiratory-gated radiotherapy was interfaced with a third generation multislice scanner. 4D cardiac reconstruction methods were modified to allow 4D thoracic CT acquisition. The technique was tested on a phantom under different conditions: stationary, periodic motion and non-periodic motion. 4D CT was also implemented for a lung cancer patient with audio-visual breathing coaching. For all cases, 4D CT images were successfully acquired from eight discrete breathing phases, however, some limitations of the system in terms of respiration reproducibility and breathing period relative to scanner settings were evident. Lung mass for the 4D CT patient scan was reproducible to within 2.1% over the eight phases, though the lung volume changed by 20% between end inspiration and end expiration (870 cm3). 4D CT can be used for 4D radiotherapy, respiration-gated radiotherapy, 'slow' CT acquisition and tumour motion studies.

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Year:  2004        PMID: 15214541     DOI: 10.1088/0031-9155/49/10/015

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


  84 in total

1.  Four-dimensional magnetic resonance imaging (4D-MRI) using image-based respiratory surrogate: a feasibility study.

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2.  A novel technique for markerless, self-sorted 4D-CBCT: feasibility study.

Authors:  Irina Vergalasova; Jing Cai; Fang-Fang Yin
Journal:  Med Phys       Date:  2012-03       Impact factor: 4.071

3.  A method to map errors in the deformable registration of 4DCT images.

Authors:  Constantin Vaman; David Staub; Jeffrey Williamson; Martin J Murphy
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

4.  Thoracic target volume delineation using various maximum-intensity projection computed tomography image sets for radiotherapy treatment planning.

Authors:  David A Zamora; Adam C Riegel; Xiaojun Sun; Peter Balter; George Starkschall; Osama Mawlawi; Tinsu Pan
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

5.  Use of combined maximum and minimum intensity projections to determine internal target volume in 4-dimensional CT scans for hepatic malignancies.

Authors:  Jin Liu; Jia-Zhou Wang; Jian-Dong Zhao; Zhi-Yong Xu; Guo-Liang Jiang
Journal:  Radiat Oncol       Date:  2012-01-30       Impact factor: 3.481

6.  Interobserver variability of patient positioning using four different CT datasets for image registration in lung stereotactic body radiotherapy.

Authors:  Markus Oechsner; Barbara Chizzali; Michal Devecka; Stefan Münch; Stephanie Elisabeth Combs; Jan Jakob Wilkens; Marciana Nona Duma
Journal:  Strahlenther Onkol       Date:  2017-07-19       Impact factor: 3.621

7.  High quality machine-robust image features: identification in nonsmall cell lung cancer computed tomography images.

Authors:  Luke A Hunter; Shane Krafft; Francesco Stingo; Haesun Choi; Mary K Martel; Stephen F Kry; Laurence E Court
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

8.  Determination of patient-specific internal gross tumor volumes for lung cancer using four-dimensional computed tomography.

Authors:  Muthuveni Ezhil; Sastry Vedam; Peter Balter; Bum Choi; Dragan Mirkovic; George Starkschall; Joe Y Chang
Journal:  Radiat Oncol       Date:  2009-01-27       Impact factor: 3.481

9.  A simplified method of four-dimensional dose accumulation using the mean patient density representation.

Authors:  Carri K Glide-Hurst; Geoffrey D Hugo; Jian Liang; Di Yan
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

10.  Cine cone beam CT reconstruction using low-rank matrix factorization: algorithm and a proof-of-principle study.

Authors:  Jian-Feng Cai; Xun Jia; Hao Gao; Steve B Jiang; Zuowei Shen; Hongkai Zhao
Journal:  IEEE Trans Med Imaging       Date:  2014-04-21       Impact factor: 10.048

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