TY - JOUR
T1 - INVITED REVIEW-IMAGE REGISTRATION IN VETERINARY RADIATION ONCOLOGY
T2 - INDICATIONS, IMPLICATIONS, AND FUTURE ADVANCES
AU - Feng, Yang
AU - Lawrence, Jessica
AU - Cheng, Kun
AU - Montgomery, Dean
AU - Forrest, Lisa
AU - Mclaren, Duncan B
AU - McLaughlin, Stephen
AU - Argyle, David J
AU - Nailon, William H
N1 - © 2016 American College of Veterinary Radiology.
PY - 2016/1/18
Y1 - 2016/1/18
N2 - The field of veterinary radiation therapy (RT) has gained substantial momentum in recent decades with significant advances in conformal treatment planning, image-guided radiation therapy (IGRT), and intensity-modulated (IMRT) techniques. At the root of these advancements lie improvements in tumor imaging, image alignment (registration), target volume delineation, and identification of critical structures. Image registration has been widely used to combine information from multimodality images such as computerized tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET) to improve the accuracy of radiation delivery and reliably identify tumor-bearing areas. Many different techniques have been applied in image registration. This review provides an overview of medical image registration in RT and its applications in veterinary oncology. A summary of the most commonly used approaches in human and veterinary medicine is presented along with their current use in IGRT and adaptive radiation therapy (ART). It is important to realize that registration does not guarantee that target volumes, such as the gross tumor volume (GTV), are correctly identified on the image being registered, as limitations unique to registration algorithms exist. Research involving novel registration frameworks for automatic segmentation of tumor volumes is ongoing and comparative oncology programs offer a unique opportunity to test the efficacy of proposed algorithms.
AB - The field of veterinary radiation therapy (RT) has gained substantial momentum in recent decades with significant advances in conformal treatment planning, image-guided radiation therapy (IGRT), and intensity-modulated (IMRT) techniques. At the root of these advancements lie improvements in tumor imaging, image alignment (registration), target volume delineation, and identification of critical structures. Image registration has been widely used to combine information from multimodality images such as computerized tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET) to improve the accuracy of radiation delivery and reliably identify tumor-bearing areas. Many different techniques have been applied in image registration. This review provides an overview of medical image registration in RT and its applications in veterinary oncology. A summary of the most commonly used approaches in human and veterinary medicine is presented along with their current use in IGRT and adaptive radiation therapy (ART). It is important to realize that registration does not guarantee that target volumes, such as the gross tumor volume (GTV), are correctly identified on the image being registered, as limitations unique to registration algorithms exist. Research involving novel registration frameworks for automatic segmentation of tumor volumes is ongoing and comparative oncology programs offer a unique opportunity to test the efficacy of proposed algorithms.
U2 - 10.1111/vru.12342
DO - 10.1111/vru.12342
M3 - Literature review
C2 - 26777133
SN - 1058-8183
VL - 57
SP - 113
EP - 123
JO - Veterinary Radiology & Ultrasound
JF - Veterinary Radiology & Ultrasound
IS - 2
ER -