Method of image fusion for radiotherapy

Shoupu Chen; Jay S. Schildkraut; Lawrence A. Ray

doi:10.1117/12.709789

8 March 2007 Method of image fusion for radiotherapy

Shoupu Chen, Jay S. Schildkraut, Lawrence A. Ray

Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 65122E (2007) https://doi.org/10.1117/12.709789
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

Patient setup error is one of the major causes of tumor position uncertainty in radiotherapy for extracranial targets, which can result in a decreased radiation dose to the tumor and an increased dose to the normal tissues. Therefore, it is a common practice to verify the patient setup accuracy by comparing portal images with a digitally reconstructed radiograph (DRR) reference image. This paper proposes a practical method of portal image and DRR fusion for patient setup verification. As a result of the mean intensity difference between the inside and outside of the actual radiation region in the portal image, the image fusion in this work is fulfilled by applying an image registration process to the contents inside or outside of the actual radiation region in the portal image and the relevant contents that are extracted, accordingly, from the DRR image. The image fusion can also be fulfilled statistically by applying two separate image registration processes to the inside and outside of the actual radiation regions. To segment the image registration contents, automatic or semiautomatic region delineation schemes are employed that aim at minimizing users' operation burden, while at the same time maximizing the use of human intelligence. To achieve an accurate and fast delineation, this paper proposes using adaptive weight in the conventional level-set contour-finding algorithm for the automatic delineation scheme, as well as the use of adaptive banding in the conventional Intelligent Scissors algorithm for the semiautomatic delineation scheme.

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Shoupu Chen, Jay S. Schildkraut, and Lawrence A. Ray "Method of image fusion for radiotherapy", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65122E (8 March 2007); https://doi.org/10.1117/12.709789

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KEYWORDS

Image fusion

Image registration

Image processing

Radiotherapy

Detection and tracking algorithms

Feature extraction

Fusion energy

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