Literature DB >> 16723776

Linac-integrated 4D cone beam CT: first experimental results.

Lars Dietrich1, Siri Jetter, Thomas Tücking, Simeon Nill, Uwe Oelfke.   

Abstract

A new online imaging approach, linac-integrated cone beam CT (CBCT), has been developed over the past few years. It has the advantage that a patient can be examined in their treatment position directly before or during a radiotherapy treatment. Unfortunately, respiratory organ motion, one of the largest intrafractional organ motions, often leads to artefacts in the reconstructed 3D images. One way to take this into account is to register the breathing phase during image acquisition for a phase-correlated image reconstruction. Therefore, the main focus of this work is to present a system which has the potential to investigate the correlation between internal (movement of the diaphragm) and external (data of a respiratory gating system) information about breathing phase and amplitude using an inline CBCT scanner. This also includes a feasibility study about using the acquired information for a respiratory-correlated 4D CBCT reconstruction. First, a moving lung phantom was used to develop and to specify the required methods which are based on an image reconstruction using only projections belonging to a certain moving phase. For that purpose, the corresponding phase has to be detected for each projection. In the case of the phantom, an electrical signal allows one to track the movement in real time. The number of projections available for the image reconstruction depends on the breathing phase and the size of the position range from which projections should be used for the reconstruction. The narrower this range is, the better the inner structures can be located, but also the noise of the images increases due to the limited number of projections. This correlation has also been analysed. In a second step, the methods were clinically applied using data sets of patients with lung tumours. In this case, the breathing phase was detected by an external gating system (AZ-733V, Anzai Medical Co.) based on a pressure sensor attached to the patient's abdominal region with a fixation belt. The comparison of the reconstructed 4D CBCT images and the corresponding 4D CT images used for the treatment planning provides the required information for the calculation of possible setup errors. So, a repositioning of the patient is feasible even though the patient moves due to respiration. In addition to the external signal, the position of the diaphragm in the cranial-caudal direction could be extracted from each projection. Both independent sources of information show a very good agreement of the phase and even the amplitude of the movement and the external signal respectively. This suggests the usability of such a system for a gated dose delivery approach. However, more studies involving patients with different incidences have to be carried out to confirm these first results.

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Year:  2006        PMID: 16723776     DOI: 10.1088/0031-9155/51/11/017

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


  42 in total

1.  4D Cone-beam CT reconstruction using a motion model based on principal component analysis.

Authors:  David Staub; Alen Docef; Robert S Brock; Constantin Vaman; Martin J Murphy
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

2.  In-treatment 4D cone-beam CT with image-based respiratory phase recognition.

Authors:  Satoshi Kida; Yoshitaka Masutani; Hideomi Yamashita; Toshikazu Imae; Taeko Matsuura; Naoya Saotome; Kuni Ohtomo; Keiichi Nakagawa; Akihiro Haga
Journal:  Radiol Phys Technol       Date:  2012-02-25

3.  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

4.  Extraction of tumor motion trajectories using PICCS-4DCBCT: a validation study.

Authors:  Zhihua Qi; Guang-Hong Chen
Journal:  Med Phys       Date:  2011-10       Impact factor: 4.071

5.  Reconstruction of four-dimensional computed tomography lung images by applying spatial and temporal anatomical constraints using a Bayesian model.

Authors:  Tiancheng He; Zhong Xue; Bin S Teh; Stephen T Wong
Journal:  J Med Imaging (Bellingham)       Date:  2015-05-13

6.  Technical Note: Imaging dose resulting from optimized procedures with limited-angle intrafractional verification system during stereotactic body radiation therapy lung treatment.

Authors:  George X Ding; Yawei Zhang; Lei Ren
Journal:  Med Phys       Date:  2019-04-29       Impact factor: 4.071

7.  Autoadaptive phase-correlated (AAPC) reconstruction for 4D CBCT.

Authors:  Frank Bergner; Timo Berkus; Markus Oelhafen; Patrik Kunz; Tinsu Pan; Marc Kachelriess
Journal:  Med Phys       Date:  2009-12       Impact factor: 4.071

8.  Prior Image Constrained Compressed Sensing (PICCS).

Authors:  Guang-Hong Chen; Jie Tang; Shuai Leng
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2008-03-03

Review 9.  kV cone-beam CT-based IGRT: a clinical review.

Authors:  Judit Boda-Heggemann; Frank Lohr; Frederik Wenz; Michael Flentje; Matthias Guckenberger
Journal:  Strahlenther Onkol       Date:  2011-04-26       Impact factor: 3.621

10.  High temporal resolution and streak-free four-dimensional cone-beam computed tomography.

Authors:  Shuai Leng; Jie Tang; Joseph Zambelli; Brian Nett; Ranjini Tolakanahalli; Guang-Hong Chen
Journal:  Phys Med Biol       Date:  2008-09-24       Impact factor: 3.609

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