The use of image synthesis techniques in target and roi delineation in the upright position

• Published in: Journal of applied clinical medical physics Vol. 24; no. 8; pp. e14079 - n/a
• Main Authors: Schreuder, Andries Niek, Paragios, Nikos, Kissick, Michael, Lis, Michelle, Underwood, Tracy S. A., Mackie, Rockwell
• Format: Journal Article
• Language: English
• Published: United States John Wiley & Sons, Inc 01.08.2023; John Wiley and Sons Inc
• Subjects: Algorithms; Bladder; Cancer therapies; Humans; Magnetic Resonance Imaging - methods; Medical imaging; Patients; Positron-Emission Tomography; Prostate; Radiation therapy; Registration; Scanners; synthetic images; Technical Note; upright imaging; upright radiation therapy; X-rays; upright imaging; upright radiation therapy; synthetic images
• ISSN: 1526-9914; 1526-9914
• DOI: 10.1002/acm2.14079

The use of multi‐modality imaging technologies such as CT, MRI, and PET imaging is state of the art for radiation therapy treatment planning. Except for a limited number of low magnetic field MR scanners the majority of such imaging technologies can only image the patient in a recumbent position. Delivering radiation therapy treatments with the patient in an upright orientation has many benefits and several companies are now developing upright patient positioners combined with upright diagnostic helical CT scanners to facilitate upright radiation therapy treatments. Due to the directional changes in the gravitational forces on the patient's body, most structures and organs will change position and shape between the recumbent and upright positions. Detailed knowledge about such structures and organs are therefore often only available in the recumbent position. The problem statement is therefore well defined, that is, how do we know where such structures and organs, that is, the target or region at risk volumes, are in the upright position if those cannot be identified and or delineated accurately enough using the upright diagnostic quality CT images only? This paper outlines two methods based on synthetic CT or MR images to overcome this problem.