Computational anatomy for multi-organ analysis in medical imaging: A review.

Juan J Cerrolaza¹, Mirella López Picazo², Ludovic Humbert³, Yoshinobu Sato⁴, Daniel Rueckert⁵, Miguel Ángel González Ballester⁶, Marius George Linguraru⁷

¹Biomedical Image Analysis Group, Imperial College London, United Kingdom. Electronic address: jjcerromar@gmail.com.

²BCN Medtech, Dept. of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain; Galgo Medical S.L., Spain.

³Galgo Medical S.L., Spain.

⁴Graduate School of Information Science, Nara Institute of Science and Technology (NAIST), Nara, Japan.

⁵Biomedical Image Analysis Group, Imperial College London, United Kingdom.

⁶BCN Medtech, Dept. of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain; ICREA, Barcelona, Spain.

⁷Sheickh Zayed Institute for Pediatric Surgicaonl Innovation, Children's National Health System, Washington DC, USA; School of Medicine and Health Sciences, George Washington University, Washington DC, USA.

PubMed DOI

Abstract

The medical image analysis field has traditionally been focused on the development of organ-, and disease-specific methods. Recently, the interest in the development of more comprehensive computational anatomical models has grown, leading to the creation of multi-organ models. Multi-organ approaches, unlike traditional organ-specific strategies, incorporate inter-organ relations into the model, th…

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