Intraoperative imaging and visualization

被引：5

作者：

Maier-Hein, Lena ^{[1
]}

Gockel, Ines ^{[2
]}

Speidel, Stefanie ^{[3
,4
]}

Wendler, Thomas ^{[5
,6
]}

Teber, Dogu ^{[7
]}

Maerz, Keno ^{[1
]}

Tizabi, Minu ^{[1
]}

Nickel, Felix ^{[8
]}

Navab, Nassir ^{[5
]}

Mueller-Stich, Beat ^{[8
]}

机构：

[1] Deutsch Krebsforschungszentrum, Abt Comp Assistierte Med Intervent CAMI, Neuenheimer Feld 223, D-69120 Heidelberg, Germany

[2] Univ Klinikum Leipzig, Dept Operat Med DOPM, Klin & Poliklin Viszeral Transplantat Thorax & Ge, Leipzig, Germany

[3] Natl Ctr Tumorerkrankungen NCT Dresden, Abt Translat Chirurg Onkol, Dresden, Germany

[4] Tech Univ Dresden, Ctr Tactile Internet Human Loop CeTI, Dresden, Germany

[5] Tech Univ Munich, Lehrstuhl Informat Anwendungen Med & Augmented Re, Garching, Germany

[6] SurgicEye GmbH, Munich, Germany

[7] Stadt Klinikum Karlsruhe, Urol Klin, Karlsruhe, Germany

[8] Univ Klinikum Heidelberg, Klin Allgemein Viszeral & Transplantat Chirurg, Heidelberg, Germany

来源：

ONKOLOGE | 2020年 / 26卷 / 01期

关键词：

Diagnostic Imaging; Computer-assisted image processing; Augmented reality; Patient-specificmodeling; Robotics; AUGMENTED REALITY; SURGERY; LIVER; ULTRASOUND; NAVIGATION; TOMOGRAPHY; GUIDANCE;

D O I：

10.1007/s00761-019-00695-4

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Background. Surgical oncology is an important pillar of interdisciplinary cancer treatment. The intraoperative visualization of tumors and critical structures along with functional tissue parameters is an important basis for precise surgical treatment and thus for the optimization of patient outcome. Objective. The aim of this article was to compile the latest technological developments with particular relevance to intraoperative imaging and visualization. Methods. Medical and technical experts with experience in computer-assisted surgery identified four research areas with a high potential for sustainably improving surgical oncology: (1) functional imaging based on biophotonics, (2) multimodal data visualization through augmented reality, (3) reproducible imaging by means of robotics, and (4) context-aware visualization based on surgical data science. Results. Recent publications exemplify the high potential of the four subject areas presented. Conclusion. Future research should focus on optimizing robustness and integrability into the surgical workflow.

引用

页码：31 / 42

页数：12

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