Augmented Reality with Diffusion Tensor Imaging (DTI) and Tractography during laparoscopic myomectomies.

Augmented reality (AR) is a technology that allows a surgeon to see key hidden subsurface structures in an endoscopic video in real time. This works by overlaying information obtained from pre-operative imaging, and fusing it in real time with the endoscopic image. MR-DTI and fiber tractography are known to provide additional information to standard structural MRI. Here we report the first two cases of real-time augmented reality during laparoscopic myomectomies with visualization of uterine muscle fibers after DTI tractography-MRI, to help the surgeon to decide the starting point incision. First case: A 31 years-old patient underwent a laparoscopic surgery for a 6cm FIGO 5 myoma. Second case: a 38 years-old patient also underwent a laparoscopic myomectomy, for a unique 6cm myoma FIGO 6. Signed consents were obtained for all the patients, which included clauses of no modification of the surgery. Before surgery, MRI were realized. The external surface of the uterus, the uterine cavity, and the surface of the myomas were delimited according to the preoperative MRI. A fiber tracking algorithm was used to extrapolate the uterine muscle fibers architecture. The aligned models were blended with each video frame to give the feeling that the uterus is almost transparent, and so the surgeon can localize exactly the myomas, and the uterine cavity. We displayed also the uterine muscle fibers, and the visualization of them helped us to decide the starting incision point for the myomectomies. Then, the myomectomies were performed using a classic laparoscopic technique. Those case-reports shows that AR and DTI fiber tracking in fibroid uterus is possible, providing fiber direction, helping the surgeon to visualize and decide the starting incision point, for laparoscopic myomectomy. Respecting the fibers orientation could improve the quality of the scar, and decrease the architectural disorganization of the uterus.

[1]  Ex vivo water diffusion tensor properties of the fibroid uterus at 7 T and their relation to tissue morphology , 2011, Journal of magnetic resonance imaging : JMRI.

[2]  Sandeep Patil,et al.  Voxel-based representation, display and thickness analysis of intricate shapes , 2005, Ninth International Conference on Computer Aided Design and Computer Graphics (CAD-CG'05).

[3]  G. Ligabue,et al.  In vivo 3 T MR diffusion tensor imaging for detection of the fibre architecture of the human uterus: a feasibility and quantitative study. , 2012, The British journal of radiology.

[4]  Adrien Bartoli,et al.  Use of augmented reality in laparoscopic gynecology to visualize myomas. , 2017, Fertility and sterility.

[5]  S. Faraone,et al.  Stimulants and Attention-Deficit/Hyperactivity Disorder—Reply , 2004 .

[6]  A. Bartoli,et al.  Use of Augmented Reality in Gynecologic Surgery to Visualize Adenomyomas. , 2019, Journal of minimally invasive gynecology.

[7]  K. Togashi,et al.  Diffusion tensor imaging (DTI) of the normal human uterus in vivo at 3 tesla: Comparison of DTI parameters in the different uterine layers , 2013, Journal of magnetic resonance imaging : JMRI.

[8]  I. Yamada,et al.  Diagnostic possibility of diffusion tensor imaging for the evaluation of myometrial invasion in endometrial cancer: An ex vivo study , 2011, Journal of magnetic resonance imaging : JMRI.

[9]  H. Meinzer,et al.  Augmented reality visualization during laparoscopic radical prostatectomy. , 2011, Journal of endourology.

[10]  V. Berghella,et al.  Trial of labor after myomectomy and uterine rupture: a systematic review , 2016, Acta obstetricia et gynecologica Scandinavica.

[11]  K. Lovblad,et al.  Clinical applications of diffusion weighted imaging in neuroradiology , 2018, Insights into Imaging.

[12]  Daniel Pizarro-Perez,et al.  A System for Augmented Reality Guided Laparoscopic Tumour Resection with Quantitative Ex-vivo User Evaluation , 2016, CARE@MICCAI.

[13]  Marco Nolden,et al.  The Medical Imaging Interaction Toolkit , 2005, Medical Image Anal..

[14]  Adrien Bartoli,et al.  Augmented Reality in a Tumor Resection Model , 2016 .

[15]  A. Bartoli,et al.  Augmented reality in gynecologic surgery: evaluation of potential benefits for myomectomy in an experimental uterine model , 2016, Surgical Endoscopy.

[16]  Peter Niederer,et al.  Three-dimensional fiber architecture of the nonpregnant human uterus determined ex vivo using magnetic resonance diffusion tensor imaging. , 2006, The anatomical record. Part A, Discoveries in molecular, cellular, and evolutionary biology.

[17]  J. Marescaux,et al.  Towards cybernetic surgery: robotic and augmented reality-assisted liver segmentectomy , 2015, Langenbeck's Archives of Surgery.

[18]  W. Eric L. Grimson,et al.  An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[19]  J. Marescaux,et al.  Augmented-reality-assisted laparoscopic adrenalectomy. , 2004, JAMA.

[20]  Adrien Bartoli,et al.  Augmented reality in a tumor resection model , 2016, Surgical Endoscopy.

[21]  Tomas Lozano-Perez,et al.  An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization , 1996 .

[22]  Y. Li,et al.  3-T diffusion tensor imaging (DTI) of normal uterus in young and middle-aged females during the menstrual cycle: evaluation of the cyclic changes of fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values. , 2015, The British journal of radiology.

[23]  Luc Soler,et al.  Robotic duodenopancreatectomy assisted with augmented reality and real-time fluorescence guidance , 2014, Surgical Endoscopy.