Literature DB >> 27349829

Shaping the future through innovations: From medical imaging to precision medicine.

Dorin Comaniciu1, Klaus Engel2, Bogdan Georgescu1, Tommaso Mansi3.   

Abstract

Medical images constitute a source of information essential for disease diagnosis, treatment and follow-up. In addition, due to its patient-specific nature, imaging information represents a critical component required for advancing precision medicine into clinical practice. This manuscript describes recently developed technologies for better handling of image information: photorealistic visualization of medical images with Cinematic Rendering, artificial agents for in-depth image understanding, support for minimally invasive procedures, and patient-specific computational models with enhanced predictive power. Throughout the manuscript we will analyze the capabilities of such technologies and extrapolate on their potential impact to advance the quality of medical care, while reducing its cost.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Artificial intelligence for image parsing; Computational modelling; Heart valves modelling; Photorealistic rendering

Mesh:

Year:  2016        PMID: 27349829     DOI: 10.1016/j.media.2016.06.016

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  13 in total

Review 1.  Cinematic rendering of skin and subcutaneous soft tissues: potential applications in acute trauma.

Authors:  Linda C Chu; Steven P Rowe; Elliot K Fishman
Journal:  Emerg Radiol       Date:  2019-05-25

2.  CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions.

Authors:  Tom Vercauteren; Mathias Unberath; Nicolas Padoy; Nassir Navab
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2019-10-23       Impact factor: 10.961

3.  CT cinematic rendering for glomus jugulare tumor with intracranial extension.

Authors:  Dario Baldi; Liberatore Tramontano; Bruna Punzo; Mario Orsini; Carlo Cavaliere
Journal:  Quant Imaging Med Surg       Date:  2020-02

4.  Pairwise domain adaptation module for CNN-based 2-D/3-D registration.

Authors:  Jiannan Zheng; Shun Miao; Z Jane Wang; Rui Liao
Journal:  J Med Imaging (Bellingham)       Date:  2018-01-13

Review 5.  CT cinematic rendering for pelvic primary tumor photorealistic visualization.

Authors:  Jun Yang; Kun Li; Huiyuan Deng; Jun Feng; Yong Fei; Yiren Jin; Chengde Liao; Qinqing Li
Journal:  Quant Imaging Med Surg       Date:  2018-09

6.  3D-cinematic rendering for dental and maxillofacial imaging.

Authors:  Bernd Stadlinger; Silvio Valdec; Lorenz Wacht; Harald Essig; Sebastian Winklhofer
Journal:  Dentomaxillofac Radiol       Date:  2019-08-08       Impact factor: 2.419

Review 7.  Applications of artificial intelligence in cardiovascular imaging.

Authors:  Maxime Sermesant; Hervé Delingette; Hubert Cochet; Pierre Jaïs; Nicholas Ayache
Journal:  Nat Rev Cardiol       Date:  2021-03-12       Impact factor: 32.419

8.  Comparison of Cinematic Rendering and Computed Tomography for Speed and Comprehension of Surgical Anatomy.

Authors:  Moustafa Elshafei; Johannes Binder; Justus Baecker; Maximilian Brunner; Michael Uder; Georg F Weber; Robert Grützmann; Christian Krautz
Journal:  JAMA Surg       Date:  2019-08-01       Impact factor: 14.766

Review 9.  Cinematic rendering - an alternative to volume rendering for 3D computed tomography imaging.

Authors:  Evelyn Dappa; Kai Higashigaito; Jürgen Fornaro; Sebastian Leschka; Simon Wildermuth; Hatem Alkadhi
Journal:  Insights Imaging       Date:  2016-09-15

Review 10.  Application of Multimodality Imaging Fusion Technology in Diagnosis and Treatment of Malignant Tumors under the Precision Medicine Plan.

Authors:  Shun-Yi Wang; Xian-Xia Chen; Yi Li; Yu-Ying Zhang
Journal:  Chin Med J (Engl)       Date:  2016-12-20       Impact factor: 2.628

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