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Tracking and mapping in medical computer vision: A review.
Schmidt, Adam; Mohareri, Omid; DiMaio, Simon; Yip, Michael C; Salcudean, Septimiu E.
Afiliación
  • Schmidt A; Department of Electrical and Computer Engineering, University of British Columbia, 2329 West Mall, Vancouver V6T 1Z4, BC, Canada. Electronic address: adamschmidt@ece.ubc.ca.
  • Mohareri O; Advanced Research, Intuitive Surgical, 1020 Kifer Rd, Sunnyvale, CA 94086, USA.
  • DiMaio S; Advanced Research, Intuitive Surgical, 1020 Kifer Rd, Sunnyvale, CA 94086, USA.
  • Yip MC; Department of Electrical and Computer Engineering, University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USA.
  • Salcudean SE; Department of Electrical and Computer Engineering, University of British Columbia, 2329 West Mall, Vancouver V6T 1Z4, BC, Canada.
Med Image Anal ; 94: 103131, 2024 May.
Article en En | MEDLINE | ID: mdl-38442528
ABSTRACT
As computer vision algorithms increase in capability, their applications in clinical systems will become more pervasive. These applications include diagnostics, such as colonoscopy and bronchoscopy; guiding biopsies, minimally invasive interventions, and surgery; automating instrument motion; and providing image guidance using pre-operative scans. Many of these applications depend on the specific visual nature of medical scenes and require designing algorithms to perform in this environment. In this review, we provide an update to the field of camera-based tracking and scene mapping in surgery and diagnostics in medical computer vision. We begin with describing our review process, which results in a final list of 515 papers that we cover. We then give a high-level summary of the state of the art and provide relevant background for those who need tracking and mapping for their clinical applications. After which, we review datasets provided in the field and the clinical needs that motivate their design. Then, we delve into the algorithmic side, and summarize recent developments. This summary should be especially useful for algorithm designers and to those looking to understand the capability of off-the-shelf methods. We maintain focus on algorithms for deformable environments while also reviewing the essential building blocks in rigid tracking and mapping since there is a large amount of crossover in methods. With the field summarized, we discuss the current state of the tracking and mapping methods along with needs for future algorithms, needs for quantification, and the viability of clinical applications. We then provide some research directions and questions. We conclude that new methods need to be designed or combined to support clinical applications in deformable environments, and more focus needs to be put into collecting datasets for training and evaluation.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cirugía Asistida por Computador Límite: Humans Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cirugía Asistida por Computador Límite: Humans Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos