Multi‐atlas–based auto‐segmentation for prostatic urethra using novel prediction of deformable image registration accuracy

Purpose Accurate identification of the prostatic urethra and bladder can help determine dosing and evaluate urinary toxicity during intensity‐modulated radiation therapy (IMRT) planning in patients with localized prostate cancer. However, it is challenging to locate the prostatic urethra in planning...

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Veröffentlicht in:	Medical physics (Lancaster) 2020-07, Vol.47 (7), p.3023-3031
Hauptverfasser:	Takagi, Hisamichi, Kadoya, Noriyuki, Kajikawa, Tomohiro, Tanaka, Shohei, Takayama, Yoshiki, Chiba, Takahito, Ito, Kengo, Dobashi, Suguru, Takeda, Ken, Jingu, Keiichi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms auto‐segmentation deformable image registration Humans Image Processing, Computer-Assisted machine learning Male prostate cancer Prostatic Neoplasms - diagnostic imaging Prostatic Neoplasms - radiotherapy radiotherapy Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Tomography, X-Ray Computed Urethra - diagnostic imaging
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