SU‐E‐J‐151: Evaluation of a Real Time Tumour Autocontouring Algorithm Using In‐Vivo Lung MR Images with Various Contrast to Noise Ratios

Purpose: To quantitatively evaluate a lung tumour autocontouring algorithm using in‐vivo lung cancer patient MR images with varying contrast to noise ratios (CNR) simulating images acquired at various MR field strengths. Methods: A non small cell lung cancer patient with posterior lung tumour is ima...

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Veröffentlicht in:	Medical Physics 2012-06, Vol.39 (6), p.3687-3687
Hauptverfasser:	Yip, E, Yun, J, Gabos, Z, Wachowicz, K, Rathee, S, Fallone, B
Format:	Artikel
Sprache:	eng
Schlagworte:	Cancer Computer software Lungs Magnetic resonance imaging Medical image noise Medical imaging Medical magnetic resonance imaging Random noise
Online-Zugang:	Volltext
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