Literature DB >> 17120912

Liver surgery planning using virtual reality.

Bernhard Reitinger1, Alexander Bornik, Reinhard Beichel, Dieter Schmalstieg.   

Abstract

In liver surgery planning, 2D and desktop-based 3D systems offer surgeons limited assistance. By using VR technology to liberate 3D from 2D input devices such as the mouse and keyboard, this surgery planning system better supports surgeons. User studies show that the system is both effective and easy to use.

Entities:  

Mesh：

Year:  2006        PMID： 17120912     DOI： 10.1109/mcg.2006.131

Source DB:  PubMed          Journal:  IEEE Comput Graph Appl        ISSN： 0272-1716            Impact factor:   2.088


  11 in total

Review 1.  MRI-guided laparoscopic and robotic surgery for malignancies.

Authors:  Makoto Hashizume
Journal:  Int J Clin Oncol       Date:  2007-04-27       Impact factor: 3.402

Review 2.  Survey on Liver Tumour Resection Planning System: Steps, Techniques, and Parameters.

Authors:  Omar Ibrahim Alirr; Ashrani Aizzuddin Abd Rahni
Journal:  J Digit Imaging       Date:  2020-04       Impact factor: 4.056

3.  Liver segmentation by intensity analysis and anatomical information in multi-slice CT images.

Authors:  Amir H Foruzan; Reza Aghaeizadeh Zoroofi; Masatoshi Hori; Yoshinobu Sato
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-03-06       Impact factor: 2.924

4.  Three-dimensional volume rendering of pelvic models and paraurethral masses based on MRI cross-sectional images.

Authors:  Stergios K Doumouchtsis; Daron A Nazarian; Nivedita Gauthaman; Constantin M Durnea; Graham Munneke
Journal:  Int Urogynecol J       Date:  2017-03-28       Impact factor: 2.894

5.  On mixed reality environments for minimally invasive therapy guidance: systems architecture, successes and challenges in their implementation from laboratory to clinic.

Authors:  Cristian A Linte; Katherine P Davenport; Kevin Cleary; Craig Peters; Kirby G Vosburgh; Nassir Navab; Philip Eddie Edwards; Pierre Jannin; Terry M Peters; David R Holmes; Richard A Robb
Journal:  Comput Med Imaging Graph       Date:  2013-02-08       Impact factor: 4.790

6.  A new segmentation framework based on sparse shape composition in liver surgery planning system.

Authors:  Guotai Wang; Shaoting Zhang; Feng Li; Lixu Gu
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

7.  Use of the Resection Map system as guidance during hepatectomy.

Authors:  Pablo Lamata; Félix Lamata; Valentin Sojar; Piotr Makowski; Laurent Massoptier; Sergio Casciaro; Wajid Ali; Thomas Stüdeli; Jérôme Declerck; Ole Jakob Elle; Ole Jackov Elle; Bjørn Edwin; Björn Edwin
Journal:  Surg Endosc       Date:  2010-02-23       Impact factor: 4.584

8.  HTC Vive MeVisLab integration via OpenVR for medical applications.

Authors:  Jan Egger; Markus Gall; Jürgen Wallner; Pedro Boechat; Alexander Hann; Xing Li; Xiaojun Chen; Dieter Schmalstieg
Journal:  PLoS One       Date:  2017-03-21       Impact factor: 3.240

Review 9.  Augmented Realities, Artificial Intelligence, and Machine Learning: Clinical Implications and How Technology Is Shaping the Future of Medicine.

Authors:  Gaby N Moawad; Jad Elkhalil; Jordan S Klebanoff; Sara Rahman; Nassir Habib; Ibrahim Alkatout
Journal:  J Clin Med       Date:  2020-11-25       Impact factor: 4.241

Review 10.  Computational Modeling in Liver Surgery.

Authors:  Bruno Christ; Uta Dahmen; Karl-Heinz Herrmann; Matthias König; Jürgen R Reichenbach; Tim Ricken; Jana Schleicher; Lars Ole Schwen; Sebastian Vlaic; Navina Waschinsky
Journal:  Front Physiol       Date:  2017-11-14       Impact factor: 4.566
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