Epidural hemostasis by autologous fat graft in minimally invasive surgery for lumbar spinal stenosis: In vivo experimental study

2020 ◽  
Author(s):  
İ. Yüce ◽  
O. Kahyaoğlu ◽  
H. Çavuşoğlu ◽  
S. Kara ◽  
Y. Aydın
Keyword(s):  
Experimental Study ◽  
Minimally Invasive Surgery ◽  
Minimally Invasive ◽  
Spinal Stenosis ◽  
Invasive Surgery ◽  
Fat Graft ◽  
Autologous Fat ◽  
Autologous Fat Graft ◽  
Lumbar Spinal

Minimally invasive surgery for lumbar spinal stenosis

BMJ ◽  
2015 ◽  
Vol 350 (apr01 5) ◽  
pp. h1664-h1664 ◽  
Author(s):  
W. A. Moojen ◽  
W. C. Peul
Keyword(s):  
Minimally Invasive Surgery ◽  
Minimally Invasive ◽  
Spinal Stenosis ◽  
Lumbar Spinal Stenosis ◽  
Invasive Surgery ◽  
Lumbar Spinal

scholarly journals Real-Time Expanded Field-of-View for Minimally Invasive Surgery Using Multi-Camera Visual Simultaneous Localization and Mapping

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2106
Author(s):  
Ahmed Afifi ◽  
Chisato Takada ◽  
Yuichiro Yoshimura ◽  
Toshiya Nakaguchi
Keyword(s):  
Minimally Invasive Surgery ◽  
Minimally Invasive ◽  
Real Time ◽  
Invasive Surgery ◽  
Simultaneous Localization And Mapping ◽  
Field Of View ◽  
Time Dynamic ◽  
Matrix Estimation ◽  
Localization And Mapping

Minimally invasive surgery is widely used because of its tremendous benefits to the patient. However, there are some challenges that surgeons face in this type of surgery, the most important of which is the narrow field of view. Therefore, we propose an approach to expand the field of view for minimally invasive surgery to enhance surgeons’ experience. It combines multiple views in real-time to produce a dynamic expanded view. The proposed approach extends the monocular Oriented features from an accelerated segment test and Rotated Binary robust independent elementary features—Simultaneous Localization And Mapping (ORB-SLAM) to work with a multi-camera setup. The ORB-SLAM’s three parallel threads, namely tracking, mapping and loop closing, are performed for each camera and new threads are added to calculate the relative cameras’ pose and to construct the expanded view. A new algorithm for estimating the optimal inter-camera correspondence matrix from a set of corresponding 3D map points is presented. This optimal transformation is then used to produce the final view. The proposed approach was evaluated using both human models and in vivo data. The evaluation results of the proposed correspondence matrix estimation algorithm prove its ability to reduce the error and to produce an accurate transformation. The results also show that when other approaches fail, the proposed approach can produce an expanded view. In this work, a real-time dynamic field-of-view expansion approach that can work in all situations regardless of images’ overlap is proposed. It outperforms the previous approaches and can also work at 21 fps.

Design and preliminary in vivo validation of a robotic laparoscope holder for minimally invasive surgery

2009 ◽  
Vol 5 (3) ◽  
pp. 319-326 ◽  
Author(s):  
Benoît Herman ◽  
Bruno Dehez ◽  
Khanh Tran Duy ◽  
Benoît Raucent ◽  
Etienne Dombre ◽  
...  
Keyword(s):  
Minimally Invasive Surgery ◽  
Minimally Invasive ◽  
Invasive Surgery ◽  
In Vivo Validation
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