Automated detection of a prostate Ni-Ti stent in electronic portal images.

Jesper Hansen Carl; Henning Nielsen; Jane Nielsen; B. Lund; E.H. Larsen

Automated detection of a prostate Ni-Ti stent in electronic portal images.

Jesper Hansen Carl, Henning Nielsen, Jane Nielsen, B. Lund, E.H. Larsen

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

3 Citationer (Scopus)

483 Downloads (Pure)

Abstract

Udgivelsesdato: DEC

Originalsprog	Engelsk
Tidsskrift	Medical Physics
Vol/bind	33
Udgave nummer	12
Sider (fra-til)	4600-4605
Antal sider	6
ISSN	0094-2405
Status	Udgivet - 2006
Udgivet eksternt	Ja

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Automated detection Ni-Ti stent Med Phys 2006 decForlagets udgivne version, 376 KB

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@article{11569210a0e611db8ed6000ea68e967b,

title = "Automated detection of a prostate Ni-Ti stent in electronic portal images.",

abstract = " Planning target volumes (PTV) in fractionated radiotherapy still have to be outlined with wide margins to the clinical target volume due to uncertainties arising from daily shift of the prostate position. A recently proposed new method of visualization of the prostate is based on insertion of a thermo-expandable Ni-Ti stent. The current study proposes a new detection algorithm for automated detection of the Ni-Ti stent in electronic portal images. The algorithm is based on the Ni-Ti stent having a cylindrical shape with a fixed diameter, which was used as the basis for an automated detection algorithm. The automated method uses enhancement of lines combined with a grayscale morphology operation that looks for enhanced pixels separated with a distance similar to the diameter of the stent. The images in this study are all from prostate cancer patients treated with radiotherapy in a previous study. Images of a stent inserted in a humanoid phantom demonstrated a localization accuracy of 0.4-0.7 mm which equals the pixel size in the image. The automated detection of the stent was compared to manual detection in 71 pairs of orthogonal images taken in nine patients. The algorithm was successful in 67 of 71 pairs of images. The method is fast, has a high success rate, good accuracy, and has a potential for unsupervised localization of the prostate before radiotherapy, which would enable automated repositioning before treatment and allow for the use of very tight PTV margins. {\textcopyright}2006 American Association of Physicists in Medicine ",

keywords = "radiotherapy",

author = "Carl, {Jesper Hansen} and Henning Nielsen and Jane Nielsen and B. Lund and E.H. Larsen",

year = "2006",

language = "English",

volume = "33",

pages = "4600--4605",

journal = "Medical Physics",

issn = "0094-2405",

publisher = "Wiley",

number = "12",

}

TY - JOUR

T1 - Automated detection of a prostate Ni-Ti stent in electronic portal images.

AU - Carl, Jesper Hansen

AU - Nielsen, Henning

AU - Nielsen, Jane

AU - Lund, B.

AU - Larsen, E.H.

PY - 2006

Y1 - 2006

N2 - Planning target volumes (PTV) in fractionated radiotherapy still have to be outlined with wide margins to the clinical target volume due to uncertainties arising from daily shift of the prostate position. A recently proposed new method of visualization of the prostate is based on insertion of a thermo-expandable Ni-Ti stent. The current study proposes a new detection algorithm for automated detection of the Ni-Ti stent in electronic portal images. The algorithm is based on the Ni-Ti stent having a cylindrical shape with a fixed diameter, which was used as the basis for an automated detection algorithm. The automated method uses enhancement of lines combined with a grayscale morphology operation that looks for enhanced pixels separated with a distance similar to the diameter of the stent. The images in this study are all from prostate cancer patients treated with radiotherapy in a previous study. Images of a stent inserted in a humanoid phantom demonstrated a localization accuracy of 0.4-0.7 mm which equals the pixel size in the image. The automated detection of the stent was compared to manual detection in 71 pairs of orthogonal images taken in nine patients. The algorithm was successful in 67 of 71 pairs of images. The method is fast, has a high success rate, good accuracy, and has a potential for unsupervised localization of the prostate before radiotherapy, which would enable automated repositioning before treatment and allow for the use of very tight PTV margins. ©2006 American Association of Physicists in Medicine

AB - Planning target volumes (PTV) in fractionated radiotherapy still have to be outlined with wide margins to the clinical target volume due to uncertainties arising from daily shift of the prostate position. A recently proposed new method of visualization of the prostate is based on insertion of a thermo-expandable Ni-Ti stent. The current study proposes a new detection algorithm for automated detection of the Ni-Ti stent in electronic portal images. The algorithm is based on the Ni-Ti stent having a cylindrical shape with a fixed diameter, which was used as the basis for an automated detection algorithm. The automated method uses enhancement of lines combined with a grayscale morphology operation that looks for enhanced pixels separated with a distance similar to the diameter of the stent. The images in this study are all from prostate cancer patients treated with radiotherapy in a previous study. Images of a stent inserted in a humanoid phantom demonstrated a localization accuracy of 0.4-0.7 mm which equals the pixel size in the image. The automated detection of the stent was compared to manual detection in 71 pairs of orthogonal images taken in nine patients. The algorithm was successful in 67 of 71 pairs of images. The method is fast, has a high success rate, good accuracy, and has a potential for unsupervised localization of the prostate before radiotherapy, which would enable automated repositioning before treatment and allow for the use of very tight PTV margins. ©2006 American Association of Physicists in Medicine

KW - radiotherapy

M3 - Journal article

SN - 0094-2405

VL - 33

SP - 4600

EP - 4605

JO - Medical Physics

JF - Medical Physics

IS - 12

ER -

Automated detection of a prostate Ni-Ti stent in electronic portal images.

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