Digital radiography image quality evaluation using various phantoms and software
<h3>Purpose</h3><p dir="ltr">To investigate the effect of the exposure parameters on image quality (IQ) metrics of phantom images, obtained automatically using software or from visual evaluation.</p><h3>Methods</h3><p dir="ltr">Three comm...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , , |
| منشور في: |
2022
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1864513548212764672 |
|---|---|
| author | Ioannis A. Tsalafoutas (14776939) |
| author2 | Shady AlKhazzam (14776942) Virginia Tsapaki (17075218) Huda AlNaemi (14146740) Mohammed Hassan Kharita (14776945) |
| author2_role | author author author author |
| author_facet | Ioannis A. Tsalafoutas (14776939) Shady AlKhazzam (14776942) Virginia Tsapaki (17075218) Huda AlNaemi (14146740) Mohammed Hassan Kharita (14776945) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ioannis A. Tsalafoutas (14776939) Shady AlKhazzam (14776942) Virginia Tsapaki (17075218) Huda AlNaemi (14146740) Mohammed Hassan Kharita (14776945) |
| dc.date.none.fl_str_mv | 2022-11-07T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1002/acm2.13823 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Digital_radiography_image_quality_evaluation_using_various_phantoms_and_software/29096597 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Clinical sciences Engineering Biomedical engineering detectability digital radiography image quality MTF QC phantoms SDNR SNR |
| dc.title.none.fl_str_mv | Digital radiography image quality evaluation using various phantoms and software |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <h3>Purpose</h3><p dir="ltr">To investigate the effect of the exposure parameters on image quality (IQ) metrics of phantom images, obtained automatically using software or from visual evaluation.</p><h3>Methods</h3><p dir="ltr">Three commercial phantoms and a homemade phantom constructed according to the instructions given in the IAEA Human Health Series No. 39 publication were used, along with the respective software that estimate automatically various IQ metrics. Images with various exposure parameters were acquired in a digital radiography (DR) unit. For the commercial phantoms, visual evaluations were also performed. The IQ scores obtained were analyzed to investigate the effects of increasing incident air kerma (IAK), tube potential (kVp), additional filtration, and acquisition protocol on IQ.</p><h3>Results</h3><p dir="ltr">The effects of the exposure parameters on the IQ metrics, determined with the commercial and the IAEA phantoms, were not the same. For example, clear trends of improvement of IQ scores with increased IAK and reduction of most IQ scores with increased kVp were observed mostly with the IAEA phantom, but not with the commercial phantoms (for both automatic and visual scoring methods). For all phantoms, the maximum variations in IQ scores observed for repeated identical exposures were almost always below 10% with automatic evaluation whereas, for visual evaluation, reached 17%.</p><h3>Conclusions</h3><p dir="ltr">Failure to detect some expected trends with the complex commercial phantoms may be attributed to the fact that IQ in DR is more strongly affected by the post‐processing procedures, which may mask the effect of other parameters on IQ, something that was not observed with the simple IAEA phantom.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Applied Clinical Medical Physics<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/acm2.13823" target="_blank">https://dx.doi.org/10.1002/acm2.13823</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_364b4279abc1f9a12b05d7822ee00b5e |
| identifier_str_mv | 10.1002/acm2.13823 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29096597 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Digital radiography image quality evaluation using various phantoms and softwareIoannis A. Tsalafoutas (14776939)Shady AlKhazzam (14776942)Virginia Tsapaki (17075218)Huda AlNaemi (14146740)Mohammed Hassan Kharita (14776945)Biomedical and clinical sciencesClinical sciencesEngineeringBiomedical engineeringdetectabilitydigital radiographyimage qualityMTFQC phantomsSDNRSNR<h3>Purpose</h3><p dir="ltr">To investigate the effect of the exposure parameters on image quality (IQ) metrics of phantom images, obtained automatically using software or from visual evaluation.</p><h3>Methods</h3><p dir="ltr">Three commercial phantoms and a homemade phantom constructed according to the instructions given in the IAEA Human Health Series No. 39 publication were used, along with the respective software that estimate automatically various IQ metrics. Images with various exposure parameters were acquired in a digital radiography (DR) unit. For the commercial phantoms, visual evaluations were also performed. The IQ scores obtained were analyzed to investigate the effects of increasing incident air kerma (IAK), tube potential (kVp), additional filtration, and acquisition protocol on IQ.</p><h3>Results</h3><p dir="ltr">The effects of the exposure parameters on the IQ metrics, determined with the commercial and the IAEA phantoms, were not the same. For example, clear trends of improvement of IQ scores with increased IAK and reduction of most IQ scores with increased kVp were observed mostly with the IAEA phantom, but not with the commercial phantoms (for both automatic and visual scoring methods). For all phantoms, the maximum variations in IQ scores observed for repeated identical exposures were almost always below 10% with automatic evaluation whereas, for visual evaluation, reached 17%.</p><h3>Conclusions</h3><p dir="ltr">Failure to detect some expected trends with the complex commercial phantoms may be attributed to the fact that IQ in DR is more strongly affected by the post‐processing procedures, which may mask the effect of other parameters on IQ, something that was not observed with the simple IAEA phantom.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Applied Clinical Medical Physics<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/acm2.13823" target="_blank">https://dx.doi.org/10.1002/acm2.13823</a></p>2022-11-07T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1002/acm2.13823https://figshare.com/articles/journal_contribution/Digital_radiography_image_quality_evaluation_using_various_phantoms_and_software/29096597CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/290965972022-11-07T03:00:00Z |
| spellingShingle | Digital radiography image quality evaluation using various phantoms and software Ioannis A. Tsalafoutas (14776939) Biomedical and clinical sciences Clinical sciences Engineering Biomedical engineering detectability digital radiography image quality MTF QC phantoms SDNR SNR |
| status_str | publishedVersion |
| title | Digital radiography image quality evaluation using various phantoms and software |
| title_full | Digital radiography image quality evaluation using various phantoms and software |
| title_fullStr | Digital radiography image quality evaluation using various phantoms and software |
| title_full_unstemmed | Digital radiography image quality evaluation using various phantoms and software |
| title_short | Digital radiography image quality evaluation using various phantoms and software |
| title_sort | Digital radiography image quality evaluation using various phantoms and software |
| topic | Biomedical and clinical sciences Clinical sciences Engineering Biomedical engineering detectability digital radiography image quality MTF QC phantoms SDNR SNR |