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Electronic portal image enhancement based on nonuniformity correction in wavelet domain.

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Title: Electronic portal image enhancement based on nonuniformity correction in wavelet domain.
Authors: Ghaempanah, Hanieh1 (AUTHOR), Tavakoli, Meysam2,3 (AUTHOR) meysamtavakkoli@gmail.com, Deevband, Mohammad Reza1 (AUTHOR) mdeevband@sbmu.ac.ir, Alvar, Amin Asgharzadeh1 (AUTHOR), Najafi, Mohsen1 (AUTHOR), Kelley, Patrick4 (AUTHOR)
Source: Medical Physics. Jul2022, Vol. 49 Issue 7, p4599-4612. 14p.
Subjects: Image intensifiers, Image reconstruction, Texture analysis (Image processing), Perceived quality, Spatial resolution, Kalman filtering
Abstract: Purpose: Electronic portal images are one of the most important tools to verify the ongoing radiotherapy treatment through comparison with a reference image generated during treatment planning. In this procedure, two images are geometrically matched by means of visible bone or other landmarks of interest such as implanted fiducials. However, the intrinsically poor contrast and low spatial resolution of portal images can limit image quality. Methods: In this study, we have provided a multiresolution approach to enhance the quality of portal images acquired from the pelvis treatment fields. The main idea behind this work aims at removing some of the image artifacts that conceal the anatomical information. For this purpose, we have applied the homomorphic filtering on the approximation sub‐band of wavelet decomposition to enhance local information. Moreover, in order to sharpen the bone edges, wavelet detail sub‐bands were weighted to amplify important image details in the reconstruction of the desired enhanced image. The most appropriate image quality measure was chosen according to the image's characteristics in the spatial domain. By considering the characteristics of portal images as the random and nonperiodic texture, high level of noise, and a nonuniform background, three suitable quality measures of images were assessed: edge content, measure of enhancement, and measure of enhancement by entropy. Results: The higher values of these measures indicate the quality improvement in the processed images through our proposed algorithm. Moreover, the subjective evaluation results indicate that the proposed multiresolution approach significantly enhances the perceived quality of images in comparison with original and the similar approach (p<0.001$p < 0.001$). Conclusions: Our proposed wavelet‐based enhancement algorithm successfully reduced image intensity nonuniformity and enhanced anatomical featured information, which drastically improved the objective metrics values. Subjective evaluation of enhanced image confirmed this quality improvement. [ABSTRACT FROM AUTHOR]
Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Electronic portal image enhancement based on nonuniformity correction in wavelet domain.
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  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Ghaempanah%2C+Hanieh%22&quot;&gt;Ghaempanah, Hanieh&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Tavakoli%2C+Meysam%22&quot;&gt;Tavakoli, Meysam&lt;/searchLink&gt;&lt;relatesTo&gt;2,3&lt;/relatesTo&gt; (AUTHOR)&lt;i&gt; meysamtavakkoli@gmail.com&lt;/i&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Deevband%2C+Mohammad+Reza%22&quot;&gt;Deevband, Mohammad Reza&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;i&gt; mdeevband@sbmu.ac.ir&lt;/i&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Alvar%2C+Amin+Asgharzadeh%22&quot;&gt;Alvar, Amin Asgharzadeh&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Najafi%2C+Mohsen%22&quot;&gt;Najafi, Mohsen&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Kelley%2C+Patrick%22&quot;&gt;Kelley, Patrick&lt;/searchLink&gt;&lt;relatesTo&gt;4&lt;/relatesTo&gt; (AUTHOR)
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Medical+Physics%22&quot;&gt;Medical Physics&lt;/searchLink&gt;. Jul2022, Vol. 49 Issue 7, p4599-4612. 14p.
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  Data: Purpose: Electronic portal images are one of the most important tools to verify the ongoing radiotherapy treatment through comparison with a reference image generated during treatment planning. In this procedure, two images are geometrically matched by means of visible bone or other landmarks of interest such as implanted fiducials. However, the intrinsically poor contrast and low spatial resolution of portal images can limit image quality. Methods: In this study, we have provided a multiresolution approach to enhance the quality of portal images acquired from the pelvis treatment fields. The main idea behind this work aims at removing some of the image artifacts that conceal the anatomical information. For this purpose, we have applied the homomorphic filtering on the approximation sub‐band of wavelet decomposition to enhance local information. Moreover, in order to sharpen the bone edges, wavelet detail sub‐bands were weighted to amplify important image details in the reconstruction of the desired enhanced image. The most appropriate image quality measure was chosen according to the image&#39;s characteristics in the spatial domain. By considering the characteristics of portal images as the random and nonperiodic texture, high level of noise, and a nonuniform background, three suitable quality measures of images were assessed: edge content, measure of enhancement, and measure of enhancement by entropy. Results: The higher values of these measures indicate the quality improvement in the processed images through our proposed algorithm. Moreover, the subjective evaluation results indicate that the proposed multiresolution approach significantly enhances the perceived quality of images in comparison with original and the similar approach (p&lt;0.001$p &lt; 0.001$). Conclusions: Our proposed wavelet‐based enhancement algorithm successfully reduced image intensity nonuniformity and enhanced anatomical featured information, which drastically improved the objective metrics values. Subjective evaluation of enhanced image confirmed this quality improvement. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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        Value: 10.1002/mp.15672
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 4599
    Subjects:
      – SubjectFull: Image intensifiers
        Type: general
      – SubjectFull: Image reconstruction
        Type: general
      – SubjectFull: Texture analysis (Image processing)
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      – SubjectFull: Perceived quality
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      – SubjectFull: Spatial resolution
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      – SubjectFull: Kalman filtering
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      – TitleFull: Electronic portal image enhancement based on nonuniformity correction in wavelet domain.
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            NameFull: Ghaempanah, Hanieh
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              M: 07
              Text: Jul2022
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              Y: 2022
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