Slice-to-volume medical image registration: a survey
It addresses the lack of a survey for researchers and practitioners in medical imaging, but it is incremental as it reviews existing literature without new methods.
This paper presents the first comprehensive survey of slice-to-volume medical image registration, categorizing algorithms and analyzing their advantages and disadvantages.
During the last decades, the research community of medical imaging has witnessed continuous advances in image registration methods, which pushed the limits of the state-of-the-art and enabled the development of novel medical procedures. A particular type of image registration problem, known as slice-to-volume registration, played a fundamental role in areas like image guided surgeries and volumetric image reconstruction. However, to date, and despite the extensive literature available on this topic, no survey has been written to discuss this challenging problem. This paper introduces the first comprehensive survey of the literature about slice-to-volume registration, presenting a categorical study of the algorithms according to an ad-hoc taxonomy and analyzing advantages and disadvantages of every category. We draw some general conclusions from this analysis and present our perspectives on the future of the field.