Literature DB >> 19794246

The effects of field-of-view and patient size on CT numbers from cone-beam computed tomography.

Katrina Y T Seet1, Arvand Barghi, Slav Yartsev, Jake Van Dyk.   

Abstract

Cone-beam computed tomography (CBCT) is used for patient alignment before treatment and is ideal for use in adaptive radiotherapy to account for tumor shrinkage, organ deformation and weight loss. However, CBCT images are prone to artifacts such as streaking and cupping effects, reducing image quality and CT number accuracy. Our goal was to determine the optimum combination of cone-beam imaging options to increase the accuracy of image CT numbers. Several phantoms with and without inserts of known relative electron densities were imaged using the Varian on-board imaging system. It was found that CT numbers are most influenced by the selection of field-of-view and are dependent on object size and filter type. Image acquisition in half-fan mode consistently produced more accurate CT numbers, regardless of phantom size. Values measured using full-fan mode can differ by up to 7% from planning CT values. No differences were found between CT numbers of all phantom images with low and standard dose modes.

Entities:  

Mesh:

Year:  2009        PMID: 19794246     DOI: 10.1088/0031-9155/54/20/014

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


  10 in total

1.  Can CT scan protocols used for radiotherapy treatment planning be adjusted to optimize image quality and patient dose? A systematic review.

Authors:  Anne T Davis; Antony L Palmer; Andrew Nisbet
Journal:  Br J Radiol       Date:  2017-05-23       Impact factor: 3.039

2.  Investigation into image quality and dose for different patient geometries with multiple cone-beam CT systems.

Authors:  Stephen J Gardner; Matthew T Studenski; Tawfik Giaddui; Yunfeng Cui; James Galvin; Yan Yu; Ying Xiao
Journal:  Med Phys       Date:  2014-03       Impact factor: 4.071

3.  Does the size of an object containing dental implant affect the expression of artifacts in cone beam computed tomography imaging?

Authors:  Mahkameh Moshfeghi; Yaser Safi; Ingrid Różyło-Kalinowska; Shiva Gandomi
Journal:  Head Face Med       Date:  2022-06-29       Impact factor: 2.246

4.  Deformable image registration of CT and truncated cone-beam CT for adaptive radiation therapy.

Authors:  Xin Zhen; Hao Yan; Linghong Zhou; Xun Jia; Steve B Jiang
Journal:  Phys Med Biol       Date:  2013-10-30       Impact factor: 3.609

5.  Correction of Bowtie-Filter Normalization and Crescent Artifacts for a Clinical CBCT System.

Authors:  Hong Zhang; Vic Kong; Ke Huang; Jian-Yue Jin
Journal:  Technol Cancer Res Treat       Date:  2016-06-23

6.  Optimal slice thickness for cone-beam CT with on-board imager.

Authors:  Kyt Seet; A Barghi; S Yartsev; J Van Dyk
Journal:  Biomed Imaging Interv J       Date:  2010-07-01

7.  Comparison of computed tomography dose index in polymethyl methacrylate and nylon dosimetry phantoms.

Authors:  Supawitoo Sookpeng; Patsuree Cheebsumon; Thanyawee Pengpan; Colin Martin
Journal:  J Med Phys       Date:  2016 Jan-Mar

Review 8.  Present state and issues in IORT Physics.

Authors:  Frank W Hensley
Journal:  Radiat Oncol       Date:  2017-01-27       Impact factor: 3.481

9.  Image artifacts caused by incorrect bowtie filters in cone-beam CT image-guided radiotherapy.

Authors:  Yanan Cao; Tianjun Ma; Steven F de Boer; Iris Z Wang
Journal:  J Appl Clin Med Phys       Date:  2020-05-08       Impact factor: 2.102

10.  Using the ACR CT accreditation phantom for routine image quality assurance on both CT and CBCT imaging systems in a radiotherapy environment.

Authors:  Maritza A Hobson; Emilie T Soisson; Stephen D Davis; William Parker
Journal:  J Appl Clin Med Phys       Date:  2014-07-08       Impact factor: 2.102

  10 in total

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