A method of surface marker location optimization for tumor motion estimation in lung stereotactic body radiation therapy

Purpose: Accurately localizing lung tumor localization is essential for high‐precision radiation therapy techniques such as stereotactic body radiation therapy (SBRT). Since direct monitoring of tumor motion is not always achievable due to the limitation of imaging modalities for treatment guidance,...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Medical physics (Lancaster) 2015-01, Vol.42 (1), p.244-253
Hauptverfasser:	Lu, Bo, Chen, Yunmei, Park, Justin C., Fan, Qiyong, Kahler, Darren, Liu, Chihray
Format:	Artikel
Sprache:	eng
Schlagworte:	60 APPLIED LIFE SCIENCES ACCURACY ALGORITHMS Breath Holding Cancer Computed tomography Eigenvalues FIDUCIAL MARKERS Humans lung Lung - diagnostic imaging Lung Neoplasms - diagnostic imaging Lung Neoplasms - radiotherapy Lung Neoplasms - surgery LUNGS Measuring length, thickness or similar linear dimensions Measuring angles Measuring areas Measuring irregularities of surfaces or contours Medical image noise Models, Biological Motion NEOPLASMS Numerical optimization Numerical solutions optimisation OPTIMIZATION PATIENTS Pneumodyamics, respiration position measurement Principal Component Analysis principle‐component‐analysis (PCA) Probability theory, stochastic processes, and statistics radiation therapy Radiosurgery - methods RADIOTHERAPY RESPIRATION Retrospective Studies sparse optimization approach (SOA) Spatial dimensions (e.g., position, lengths, volume, angles, and displacements) stereotactic body radiation therapy (SBRT) surface markers Time Factors Tomography, X-Ray Computed - methods Tracking devices Treatment strategy tumor motion predictions tumours
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!