Slice-to-volume medical image registration: A survey

Enzo Ferrante (1, 2, 3) , Nikos Paragios (1, 2)

1 GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content
2 CVN - Centre de vision numérique
3 BioMedIA - Biomedical Image Analysis Group [London]

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.

Mots clés: Bibliographical review; Slice-to-volume registration; Medical image registration; Medical image analysis

Domaines: Imagerie médicale

Enzo Ferrante, Nikos Paragios. Slice-to-volume medical image registration: A survey. Medical Image Analysis, 2017, 39, pp.101 - 123. ⟨10.1016/j.media.2017.04.010⟩. ⟨hal-01650929⟩