Literature DB >> 17936387

Correction of conebeam CT values using a planning CT for derivation of the "dose of the day".

Mathilda van Zijtveld1, Maarten Dirkx, Ben Heijmen.   

Abstract

BACKGROUND AND
PURPOSE: Verification of the actually delivered 3D dose distribution during each treatment fraction ("dose of the day") is the most complete and clinical relevant "in-vivo" check of an IMRT treatment. To do this, during patient treatment portal dose images are routinely acquired with our electronic portal imaging device to derive the delivered fluence map for each treatment field. In addition, a conebeam CT scan is acquired just prior to treatment to derive the patient geometry at the time of treatment. However, the use of conebeam CT scans for dose calculation is hampered by inaccuracies in the conversion of CT values to electron densities due to an enlarged scatter contribution.
MATERIALS AND METHODS: In this work, a method is described for mapping of Hounsfield Units of the planning CT to the conebeam CT scan, while accounting for non-rigidity in the anatomy, e.g. related to weight loss, in an approximate way. The method was validated for head and neck cancer patients by comparing dose distributions calculated using adjusted Hounsfield Units with a golden standard. RESULTS AND
CONCLUSIONS: The observed dose differences were less than 1% in the majority of points, and in at least 96% of the points a 3D gamma analysis resulted in gamma values of less than 1 when applying a 2%/2mm criterion, showing that this straightforward approach allows for an accurate dose calculation based on conebeam CT scans.

Entities:  

Mesh:

Year:  2007        PMID: 17936387     DOI: 10.1016/j.radonc.2007.08.010

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  29 in total

1.  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

2.  Scatter correction for cone-beam CT in radiation therapy.

Authors:  Lei Zhu; Yaoqin Xie; Jing Wang; Lei Xing
Journal:  Med Phys       Date:  2009-06       Impact factor: 4.071

3.  An evaluation of techniques for dose calculation on cone beam computed tomography.

Authors:  Valentina Giacometti; Raymond B King; Christina E Agnew; Denise M Irvine; Suneil Jain; Alan R Hounsell; Conor K McGarry
Journal:  Br J Radiol       Date:  2019-02-26       Impact factor: 3.039

4.  Technical Note: Density correction to improve CT number mapping in thoracic deformable image registration.

Authors:  Jinzhong Yang; Yongbin Zhang; Zijian Zhang; Lifei Zhang; Peter Balter; Laurence Court
Journal:  Med Phys       Date:  2019-04-01       Impact factor: 4.071

5.  Automated algorithm for CBCT-based dose calculations of prostate radiotherapy with bilateral hip prostheses.

Authors:  Turki Almatani; Richard P Hugtenburg; Ryan D Lewis; Susan E Barley; Mark A Edwards
Journal:  Br J Radiol       Date:  2016-07-27       Impact factor: 3.039

6.  Dosimetric impact of gastrointestinal air column in radiation treatment of pancreatic cancer.

Authors:  Neil C Estabrook; Jonathan B Corn; Marvene M Ewing; Higinia R Cardenes; Indra J Das
Journal:  Br J Radiol       Date:  2017-12-22       Impact factor: 3.039

7.  Clinical examples of 3D dose distribution reconstruction, based on the actual MLC leaves movement, for dynamic treatment techniques.

Authors:  Wojciech Osewski; Lukasz Dolla; Michał Radwan; Marta Szlag; Roman Rutkowski; Barbara Smolińska; Krzysztof Slosarek
Journal:  Rep Pract Oncol Radiother       Date:  2014-07-17

8.  Use of kilovoltage X-ray volume imaging in patient dose calculation for head-and-neck and partial brain radiation therapy.

Authors:  Weigang Hu; Jinsong Ye; Jiazhou Wang; Xuejun Ma; Zhen Zhang
Journal:  Radiat Oncol       Date:  2010-04-19       Impact factor: 3.481

9.  Dose verification of volumetric modulated arc therapy (VMAT) by use of in-treatment linac parameters.

Authors:  Akihiro Haga; Akira Sakumi; Yukari Okano; Saori Itoh; Naoya Saotome; Satoshi Kida; Hiroshi Igaki; Kenshiro Shiraishi; Hideomi Yamashita; Kuni Ohtomo; Keiichi Nakagawa
Journal:  Radiol Phys Technol       Date:  2013-03-12

10.  Demons deformable registration for CBCT-guided procedures in the head and neck: convergence and accuracy.

Authors:  S Nithiananthan; K K Brock; M J Daly; H Chan; J C Irish; J H Siewerdsen
Journal:  Med Phys       Date:  2009-10       Impact factor: 4.071

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