Limits...
Head and neck lymph node region delineation with image registration.

Teng CC, Shapiro LG, Kalet IJ - Biomed Eng Online (2010)

Bottom Line: We are also proposing a method that could help us identify the reference models which could potentially produce the best results.The computer generated lymph node regions are evaluated quantitatively and qualitatively.Although not conforming to clinical criteria, the results suggest the technique has promise.

View Article: PubMed Central - HTML - PubMed

Affiliation: School of Technology, Brigham Young University, Provo, UT, USA. ccteng@byu.edu

ABSTRACT

Background: The success of radiation therapy depends critically on accurately delineating the target volume, which is the region of known or suspected disease in a patient. Methods that can compute a contour set defining a target volume on a set of patient images will contribute greatly to the success of radiation therapy and dramatically reduce the workload of radiation oncologists, who currently draw the target by hand on the images using simple computer drawing tools. The most challenging part of this process is to estimate where there is microscopic spread of disease.

Methods: Given a set of reference CT images with "gold standard" lymph node regions drawn by the experts, we are proposing an image registration based method that could automatically contour the cervical lymph code levels for patients receiving radiation therapy. We are also proposing a method that could help us identify the reference models which could potentially produce the best results.

Results: The computer generated lymph node regions are evaluated quantitatively and qualitatively.

Conclusions: Although not conforming to clinical criteria, the results suggest the technique has promise.

Show MeSH
Comparison between projected lymph node regions and expert drawn regions. Column 1 on the left shows projected regions from Mattes' method; column 3 on the right shows results from the new method using landmark information. Regions in column 2 are drawn by a radiation oncologist and considered to be clinically acceptable.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC2902481&req=5

Figure 9: Comparison between projected lymph node regions and expert drawn regions. Column 1 on the left shows projected regions from Mattes' method; column 3 on the right shows results from the new method using landmark information. Regions in column 2 are drawn by a radiation oncologist and considered to be clinically acceptable.

Mentions: The projected lymph node regions can be evaluated qualitatively by superimposed on the target subject's CT images. Figure 9 compares projected lymph node regions to expert drawn regions, each region is color coded. Rows 1-3 are sample CT slices from superior to inferior positions of the same target subject. Column 1 on the left shows projected regions from Mattes' method; column 3 on the right shows results from the new method using landmark information. Regions in column 2 are drawn by a radiation oncologist. These projected lymph regions are reviewed by the radiation oncologist and considered to be clinically acceptable. The results from the Mattes' method are more generous in certain areas covering muscle tissues. Although it may be considered harmless today, it can be less desirable as the precise lymph node region contours becomes more important in the future.


Head and neck lymph node region delineation with image registration.

Teng CC, Shapiro LG, Kalet IJ - Biomed Eng Online (2010)

Comparison between projected lymph node regions and expert drawn regions. Column 1 on the left shows projected regions from Mattes' method; column 3 on the right shows results from the new method using landmark information. Regions in column 2 are drawn by a radiation oncologist and considered to be clinically acceptable.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2902481&req=5

Figure 9: Comparison between projected lymph node regions and expert drawn regions. Column 1 on the left shows projected regions from Mattes' method; column 3 on the right shows results from the new method using landmark information. Regions in column 2 are drawn by a radiation oncologist and considered to be clinically acceptable.
Mentions: The projected lymph node regions can be evaluated qualitatively by superimposed on the target subject's CT images. Figure 9 compares projected lymph node regions to expert drawn regions, each region is color coded. Rows 1-3 are sample CT slices from superior to inferior positions of the same target subject. Column 1 on the left shows projected regions from Mattes' method; column 3 on the right shows results from the new method using landmark information. Regions in column 2 are drawn by a radiation oncologist. These projected lymph regions are reviewed by the radiation oncologist and considered to be clinically acceptable. The results from the Mattes' method are more generous in certain areas covering muscle tissues. Although it may be considered harmless today, it can be less desirable as the precise lymph node region contours becomes more important in the future.

Bottom Line: We are also proposing a method that could help us identify the reference models which could potentially produce the best results.The computer generated lymph node regions are evaluated quantitatively and qualitatively.Although not conforming to clinical criteria, the results suggest the technique has promise.

View Article: PubMed Central - HTML - PubMed

Affiliation: School of Technology, Brigham Young University, Provo, UT, USA. ccteng@byu.edu

ABSTRACT

Background: The success of radiation therapy depends critically on accurately delineating the target volume, which is the region of known or suspected disease in a patient. Methods that can compute a contour set defining a target volume on a set of patient images will contribute greatly to the success of radiation therapy and dramatically reduce the workload of radiation oncologists, who currently draw the target by hand on the images using simple computer drawing tools. The most challenging part of this process is to estimate where there is microscopic spread of disease.

Methods: Given a set of reference CT images with "gold standard" lymph node regions drawn by the experts, we are proposing an image registration based method that could automatically contour the cervical lymph code levels for patients receiving radiation therapy. We are also proposing a method that could help us identify the reference models which could potentially produce the best results.

Results: The computer generated lymph node regions are evaluated quantitatively and qualitatively.

Conclusions: Although not conforming to clinical criteria, the results suggest the technique has promise.

Show MeSH