PMID- 31098598
OWN - NLM
STAT- MEDLINE
DCOM- 20191028
LR  - 20231012
VI  - 11073
DP  - 2018 Sep
TI  - A Novel Mixed Reality Navigation System for Laparoscopy Surgery.
PG  - 72-80
LID - 10.1007/978-3-030-00937-3_9 [doi]
AB  - OBJECTIVE: To design and validate a novel mixed reality head-mounted display for 
      intraoperative surgical navigation. DESIGN: A mixed reality navigation for 
      laparoscopic surgery (MRNLS) system using a head mounted display (HMD) was 
      developed to integrate the displays from a laparoscope, navigation system, and 
      diagnostic imaging to provide context-specific information to the surgeon. 
      Further, an immersive auditory feedback was also provided to the user. Sixteen 
      surgeons were recruited to quantify the differential improvement in performance 
      based on the mode of guidance provided to the user (laparoscopic navigation with 
      CT guidance (LN-CT) versus mixed reality navigation for laparoscopic surgery 
      (MRNLS)). The users performed three tasks: (1) standard peg transfer, (2) 
      radiolabeled peg identification and transfer, and (3) radiolabeled peg 
      identification and transfer through sensitive wire structures. RESULTS: For the 
      more complex task of peg identification and transfer, significant improvements 
      were observed in time to completion, kinematics such as mean velocity, and task 
      load index subscales of mental demand and effort when using the MRNLS (p < 0.05) 
      compared to the current standard of LN-CT. For the final task of peg 
      identification and transfer through sensitive structures, time taken to complete 
      the task and frustration were significantly lower for MRNLS compared to the LN-CT 
      approach. CONCLUSIONS: A novel mixed reality navigation for laparoscopic surgery 
      (MRNLS) has been designed and validated. The ergonomics of laparoscopic 
      procedures could be improved while minimizing the necessity of additional 
      monitors in the operating room.
FAU - Jayender, Jagadeesan
AU  - Jayender J
AD  - Brigham and Women's Hospital, Boston, MA 02115, USA.
AD  - Harvard Medical School, Boston, MA 02115, USA.
FAU - Xavier, Brian
AU  - Xavier B
AD  - Boston Medical School, Boston, MA 02115, USA.
FAU - King, Franklin
AU  - King F
AD  - Brigham and Women's Hospital, Boston, MA 02115, USA.
FAU - Hosny, Ahmed
AU  - Hosny A
AD  - Boston Medical School, Boston, MA 02115, USA.
FAU - Black, David
AU  - Black D
AD  - Fraunhofer MEVIS, Bremen, Germany.
FAU - Pieper, Steve
AU  - Pieper S
AD  - Isomics, Inc., Boston, MA 02115, USA.
FAU - Tavakkoli, Ali
AU  - Tavakkoli A
AD  - Brigham and Women's Hospital, Boston, MA 02115, USA.
AD  - Harvard Medical School, Boston, MA 02115, USA.
LA  - eng
GR  - P41 EB015898/EB/NIBIB NIH HHS/United States
GR  - P41 RR019703/RR/NCRR NIH HHS/United States
PT  - Journal Article
DEP - 20180913
PL  - Germany
TA  - Med Image Comput Comput Assist Interv
JT  - Medical image computing and computer-assisted intervention : MICCAI ... 
      International Conference on Medical Image Computing and Computer-Assisted 
      Intervention
JID - 101249582
MH  - *Algorithms
MH  - Humans
MH  - Laparoscopes
MH  - *Laparoscopy/instrumentation
MH  - Reproducibility of Results
MH  - Sensitivity and Specificity
MH  - *User-Computer Interface
PMC - PMC6512867
MID - NIHMS1020626
OTO - NOTNLM
OT  - Ergonomics
OT  - Laparoscopy surgery Audio navigation
OT  - Mixed-reality
OT  - Surgical navigation
OT  - Visual navigation
EDAT- 2019/05/18 06:00
MHDA- 2019/10/29 06:00
PMCR- 2019/09/01
CRDT- 2019/05/18 06:00
PHST- 2019/05/18 06:00 [entrez]
PHST- 2019/05/18 06:00 [pubmed]
PHST- 2019/10/29 06:00 [medline]
PHST- 2019/09/01 00:00 [pmc-release]
AID - 10.1007/978-3-030-00937-3_9 [doi]
PST - ppublish
SO  - Med Image Comput Comput Assist Interv. 2018 Sep;11073:72-80. doi: 
      10.1007/978-3-030-00937-3_9. Epub 2018 Sep 13.