Eintrag weiter verarbeiten
SU‐E‐J‐133: Autosegmentation of Linac CBCT: Improved Accuracy Via Penalized Likelihood Reconstruction
Gespeichert in:
| Zeitschriftentitel: | Medical Physics |
|---|---|
| Personen und Körperschaften: | |
| In: | Medical Physics, 42, 2015, 6Part9, S. 3295-3295 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Wiley
|
| Schlagwörter: |
| author_facet |
Chen, Y Chen, Y |
|---|---|
| author |
Chen, Y |
| spellingShingle |
Chen, Y Medical Physics SU‐E‐J‐133: Autosegmentation of Linac CBCT: Improved Accuracy Via Penalized Likelihood Reconstruction General Medicine |
| author_sort |
chen, y |
| spelling |
Chen, Y 0094-2405 2473-4209 Wiley General Medicine http://dx.doi.org/10.1118/1.4924219 <jats:sec><jats:title>Purpose:</jats:title><jats:p>To improve the quality of kV X‐ray cone beam CT (CBCT) for use in radiotherapy delivery assessment and re‐planning by using penalized likelihood (PL) iterative reconstruction and auto‐segmentation accuracy of the resulting CBCTs as an image quality metric.</jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p>Present filtered backprojection (FBP) CBCT reconstructions can be improved upon by PL reconstruction with image formation models and appropriate regularization constraints. We use two constraints: 1) image smoothing via an edge preserving filter, and 2) a constraint minimizing the differences between the reconstruction and a registered prior image. Reconstructions of prostate therapy CBCTs were computed with constraint 1 alone and with both constraints. The prior images were planning CTs(pCT) deformable‐registered to the FBP reconstructions. Anatomy segmentations were done using atlas‐based auto‐segmentation (Elekta ADMIRE).</jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p>We observed small but consistent improvements in the Dice similarity coefficients of PL reconstructions over the FBP results, and additional small improvements with the added prior image constraint. For a CBCT with anatomy very similar in appearance to the pCT, we observed these changes in the Dice metric: +2.9% (prostate), +8.6% (rectum), −1.9% (bladder). For a second CBCT with a very different rectum configuration, we observed +0.8% (prostate), +8.9% (rectum), −1.2% (bladder). For a third case with significant lateral truncation of the field of view, we observed: +0.8% (prostate), +8.9% (rectum), −1.2% (bladder). Adding the prior image constraint raised Dice measures by about 1%.</jats:p></jats:sec><jats:sec><jats:title>Conclusion:</jats:title><jats:p>Efficient and practical adaptive radiotherapy requires accurate deformable registration and accurate anatomy delineation. We show here small and consistent patterns of improved contour accuracy using PL iterative reconstruction compared with FBP reconstruction. However, the modest extent of these results and the pattern of differences across CBCT cases suggest that significant further development will be required to make CBCT useful to adaptive radiotherapy.</jats:p></jats:sec> SU‐E‐J‐133: Autosegmentation of Linac CBCT: Improved Accuracy Via Penalized Likelihood Reconstruction Medical Physics |
| doi_str_mv |
10.1118/1.4924219 |
| facet_avail |
Online |
| format |
ElectronicArticle |
| fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTExOC8xLjQ5MjQyMTk |
| id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTExOC8xLjQ5MjQyMTk |
| institution |
DE-Zi4 DE-Gla1 DE-15 DE-Pl11 DE-Rs1 DE-14 DE-105 DE-Ch1 DE-L229 DE-D275 DE-Bn3 DE-Brt1 DE-D161 |
| imprint |
Wiley, 2015 |
| imprint_str_mv |
Wiley, 2015 |
| issn |
0094-2405 2473-4209 |
| issn_str_mv |
0094-2405 2473-4209 |
| language |
English |
| mega_collection |
Wiley (CrossRef) |
| match_str |
chen2015suej133autosegmentationoflinaccbctimprovedaccuracyviapenalizedlikelihoodreconstruction |
| publishDateSort |
2015 |
| publisher |
Wiley |
| recordtype |
ai |
| record_format |
ai |
| series |
Medical Physics |
| source_id |
49 |
| title |
SU‐E‐J‐133: Autosegmentation of Linac CBCT: Improved Accuracy Via Penalized Likelihood Reconstruction |
| title_unstemmed |
SU‐E‐J‐133: Autosegmentation of Linac CBCT: Improved Accuracy Via Penalized Likelihood Reconstruction |
| title_full |
SU‐E‐J‐133: Autosegmentation of Linac CBCT: Improved Accuracy Via Penalized Likelihood Reconstruction |
| title_fullStr |
SU‐E‐J‐133: Autosegmentation of Linac CBCT: Improved Accuracy Via Penalized Likelihood Reconstruction |
| title_full_unstemmed |
SU‐E‐J‐133: Autosegmentation of Linac CBCT: Improved Accuracy Via Penalized Likelihood Reconstruction |
| title_short |
SU‐E‐J‐133: Autosegmentation of Linac CBCT: Improved Accuracy Via Penalized Likelihood Reconstruction |
| title_sort |
su‐e‐j‐133: autosegmentation of linac cbct: improved accuracy via penalized likelihood reconstruction |
| topic |
General Medicine |
| url |
http://dx.doi.org/10.1118/1.4924219 |
| publishDate |
2015 |
| physical |
3295-3295 |
| description |
<jats:sec><jats:title>Purpose:</jats:title><jats:p>To improve the quality of kV X‐ray cone beam CT (CBCT) for use in radiotherapy delivery assessment and re‐planning by using penalized likelihood (PL) iterative reconstruction and auto‐segmentation accuracy of the resulting CBCTs as an image quality metric.</jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p>Present filtered backprojection (FBP) CBCT reconstructions can be improved upon by PL reconstruction with image formation models and appropriate regularization constraints. We use two constraints: 1) image smoothing via an edge preserving filter, and 2) a constraint minimizing the differences between the reconstruction and a registered prior image. Reconstructions of prostate therapy CBCTs were computed with constraint 1 alone and with both constraints. The prior images were planning CTs(pCT) deformable‐registered to the FBP reconstructions. Anatomy segmentations were done using atlas‐based auto‐segmentation (Elekta ADMIRE).</jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p>We observed small but consistent improvements in the Dice similarity coefficients of PL reconstructions over the FBP results, and additional small improvements with the added prior image constraint. For a CBCT with anatomy very similar in appearance to the pCT, we observed these changes in the Dice metric: +2.9% (prostate), +8.6% (rectum), −1.9% (bladder). For a second CBCT with a very different rectum configuration, we observed +0.8% (prostate), +8.9% (rectum), −1.2% (bladder). For a third case with significant lateral truncation of the field of view, we observed: +0.8% (prostate), +8.9% (rectum), −1.2% (bladder). Adding the prior image constraint raised Dice measures by about 1%.</jats:p></jats:sec><jats:sec><jats:title>Conclusion:</jats:title><jats:p>Efficient and practical adaptive radiotherapy requires accurate deformable registration and accurate anatomy delineation. We show here small and consistent patterns of improved contour accuracy using PL iterative reconstruction compared with FBP reconstruction. However, the modest extent of these results and the pattern of differences across CBCT cases suggest that significant further development will be required to make CBCT useful to adaptive radiotherapy.</jats:p></jats:sec> |
| container_issue |
6Part9 |
| container_start_page |
3295 |
| container_title |
Medical Physics |
| container_volume |
42 |
| format_de105 |
Article, E-Article |
| format_de14 |
Article, E-Article |
| format_de15 |
Article, E-Article |
| format_de520 |
Article, E-Article |
| format_de540 |
Article, E-Article |
| format_dech1 |
Article, E-Article |
| format_ded117 |
Article, E-Article |
| format_degla1 |
E-Article |
| format_del152 |
Buch |
| format_del189 |
Article, E-Article |
| format_dezi4 |
Article |
| format_dezwi2 |
Article, E-Article |
| format_finc |
Article, E-Article |
| format_nrw |
Article, E-Article |
| _version_ |
1792335196532506626 |
| geogr_code |
not assigned |
| last_indexed |
2024-03-01T14:39:06.408Z |
| geogr_code_person |
not assigned |
| openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=SU%E2%80%90E%E2%80%90J%E2%80%90133%3A+Autosegmentation+of+Linac+CBCT%3A+Improved+Accuracy+Via+Penalized+Likelihood+Reconstruction&rft.date=2015-06-01&genre=article&issn=2473-4209&volume=42&issue=6Part9&spage=3295&epage=3295&pages=3295-3295&jtitle=Medical+Physics&atitle=SU%E2%80%90E%E2%80%90J%E2%80%90133%3A+Autosegmentation+of+Linac+CBCT%3A+Improved+Accuracy+Via+Penalized+Likelihood+Reconstruction&aulast=Chen&aufirst=Y&rft_id=info%3Adoi%2F10.1118%2F1.4924219&rft.language%5B0%5D=eng |
| SOLR | |
| _version_ | 1792335196532506626 |
| author | Chen, Y |
| author_facet | Chen, Y, Chen, Y |
| author_sort | chen, y |
| container_issue | 6Part9 |
| container_start_page | 3295 |
| container_title | Medical Physics |
| container_volume | 42 |
| description | <jats:sec><jats:title>Purpose:</jats:title><jats:p>To improve the quality of kV X‐ray cone beam CT (CBCT) for use in radiotherapy delivery assessment and re‐planning by using penalized likelihood (PL) iterative reconstruction and auto‐segmentation accuracy of the resulting CBCTs as an image quality metric.</jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p>Present filtered backprojection (FBP) CBCT reconstructions can be improved upon by PL reconstruction with image formation models and appropriate regularization constraints. We use two constraints: 1) image smoothing via an edge preserving filter, and 2) a constraint minimizing the differences between the reconstruction and a registered prior image. Reconstructions of prostate therapy CBCTs were computed with constraint 1 alone and with both constraints. The prior images were planning CTs(pCT) deformable‐registered to the FBP reconstructions. Anatomy segmentations were done using atlas‐based auto‐segmentation (Elekta ADMIRE).</jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p>We observed small but consistent improvements in the Dice similarity coefficients of PL reconstructions over the FBP results, and additional small improvements with the added prior image constraint. For a CBCT with anatomy very similar in appearance to the pCT, we observed these changes in the Dice metric: +2.9% (prostate), +8.6% (rectum), −1.9% (bladder). For a second CBCT with a very different rectum configuration, we observed +0.8% (prostate), +8.9% (rectum), −1.2% (bladder). For a third case with significant lateral truncation of the field of view, we observed: +0.8% (prostate), +8.9% (rectum), −1.2% (bladder). Adding the prior image constraint raised Dice measures by about 1%.</jats:p></jats:sec><jats:sec><jats:title>Conclusion:</jats:title><jats:p>Efficient and practical adaptive radiotherapy requires accurate deformable registration and accurate anatomy delineation. We show here small and consistent patterns of improved contour accuracy using PL iterative reconstruction compared with FBP reconstruction. However, the modest extent of these results and the pattern of differences across CBCT cases suggest that significant further development will be required to make CBCT useful to adaptive radiotherapy.</jats:p></jats:sec> |
| doi_str_mv | 10.1118/1.4924219 |
| facet_avail | Online |
| format | ElectronicArticle |
| format_de105 | Article, E-Article |
| format_de14 | Article, E-Article |
| format_de15 | Article, E-Article |
| format_de520 | Article, E-Article |
| format_de540 | Article, E-Article |
| format_dech1 | Article, E-Article |
| format_ded117 | Article, E-Article |
| format_degla1 | E-Article |
| format_del152 | Buch |
| format_del189 | Article, E-Article |
| format_dezi4 | Article |
| format_dezwi2 | Article, E-Article |
| format_finc | Article, E-Article |
| format_nrw | Article, E-Article |
| geogr_code | not assigned |
| geogr_code_person | not assigned |
| id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTExOC8xLjQ5MjQyMTk |
| imprint | Wiley, 2015 |
| imprint_str_mv | Wiley, 2015 |
| institution | DE-Zi4, DE-Gla1, DE-15, DE-Pl11, DE-Rs1, DE-14, DE-105, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-D161 |
| issn | 0094-2405, 2473-4209 |
| issn_str_mv | 0094-2405, 2473-4209 |
| language | English |
| last_indexed | 2024-03-01T14:39:06.408Z |
| match_str | chen2015suej133autosegmentationoflinaccbctimprovedaccuracyviapenalizedlikelihoodreconstruction |
| mega_collection | Wiley (CrossRef) |
| physical | 3295-3295 |
| publishDate | 2015 |
| publishDateSort | 2015 |
| publisher | Wiley |
| record_format | ai |
| recordtype | ai |
| series | Medical Physics |
| source_id | 49 |
| spelling | Chen, Y 0094-2405 2473-4209 Wiley General Medicine http://dx.doi.org/10.1118/1.4924219 <jats:sec><jats:title>Purpose:</jats:title><jats:p>To improve the quality of kV X‐ray cone beam CT (CBCT) for use in radiotherapy delivery assessment and re‐planning by using penalized likelihood (PL) iterative reconstruction and auto‐segmentation accuracy of the resulting CBCTs as an image quality metric.</jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p>Present filtered backprojection (FBP) CBCT reconstructions can be improved upon by PL reconstruction with image formation models and appropriate regularization constraints. We use two constraints: 1) image smoothing via an edge preserving filter, and 2) a constraint minimizing the differences between the reconstruction and a registered prior image. Reconstructions of prostate therapy CBCTs were computed with constraint 1 alone and with both constraints. The prior images were planning CTs(pCT) deformable‐registered to the FBP reconstructions. Anatomy segmentations were done using atlas‐based auto‐segmentation (Elekta ADMIRE).</jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p>We observed small but consistent improvements in the Dice similarity coefficients of PL reconstructions over the FBP results, and additional small improvements with the added prior image constraint. For a CBCT with anatomy very similar in appearance to the pCT, we observed these changes in the Dice metric: +2.9% (prostate), +8.6% (rectum), −1.9% (bladder). For a second CBCT with a very different rectum configuration, we observed +0.8% (prostate), +8.9% (rectum), −1.2% (bladder). For a third case with significant lateral truncation of the field of view, we observed: +0.8% (prostate), +8.9% (rectum), −1.2% (bladder). Adding the prior image constraint raised Dice measures by about 1%.</jats:p></jats:sec><jats:sec><jats:title>Conclusion:</jats:title><jats:p>Efficient and practical adaptive radiotherapy requires accurate deformable registration and accurate anatomy delineation. We show here small and consistent patterns of improved contour accuracy using PL iterative reconstruction compared with FBP reconstruction. However, the modest extent of these results and the pattern of differences across CBCT cases suggest that significant further development will be required to make CBCT useful to adaptive radiotherapy.</jats:p></jats:sec> SU‐E‐J‐133: Autosegmentation of Linac CBCT: Improved Accuracy Via Penalized Likelihood Reconstruction Medical Physics |
| spellingShingle | Chen, Y, Medical Physics, SU‐E‐J‐133: Autosegmentation of Linac CBCT: Improved Accuracy Via Penalized Likelihood Reconstruction, General Medicine |
| title | SU‐E‐J‐133: Autosegmentation of Linac CBCT: Improved Accuracy Via Penalized Likelihood Reconstruction |
| title_full | SU‐E‐J‐133: Autosegmentation of Linac CBCT: Improved Accuracy Via Penalized Likelihood Reconstruction |
| title_fullStr | SU‐E‐J‐133: Autosegmentation of Linac CBCT: Improved Accuracy Via Penalized Likelihood Reconstruction |
| title_full_unstemmed | SU‐E‐J‐133: Autosegmentation of Linac CBCT: Improved Accuracy Via Penalized Likelihood Reconstruction |
| title_short | SU‐E‐J‐133: Autosegmentation of Linac CBCT: Improved Accuracy Via Penalized Likelihood Reconstruction |
| title_sort | su‐e‐j‐133: autosegmentation of linac cbct: improved accuracy via penalized likelihood reconstruction |
| title_unstemmed | SU‐E‐J‐133: Autosegmentation of Linac CBCT: Improved Accuracy Via Penalized Likelihood Reconstruction |
| topic | General Medicine |
| url | http://dx.doi.org/10.1118/1.4924219 |