scholarly journals Analyzing Liver Surface Indentation for In Vivo Refinement of Tumor Location in Minimally Invasive Surgery

Author(s):  
Yingqiao Yang ◽  
Kai-Leung Yung ◽  
Tin Wai Robert Hung ◽  
Kai-Ming Yu

AbstractManual palpation to update the position of subsurface tumor(s) is a normal practice in open surgery, but is not possible through the small incisions of minimally invasive surgery (MIS). This paper proposes a method that has the potential to use a simple constant-force indenter and the existing laparoscopic camera for tumor location refinement in MIS. The indenter floats with organ movement to generate a static surface deformation on the soft tissue, resolving problems of previous studies that require complicated measurement of force and displacement during indentation. By analyzing the deformation profile, we can intraoperatively update the tumor’s location in real-time. Indentation experiments were conducted on healthy and “diseased” porcine liver specimens to obtain the deformation surrounding the indenter site. An inverse finite element (FE) algorithm was developed to determine the optimal material parameters of the healthy liver tissue. With these parameters, a computational model of tumorous tissue was constructed to quantitatively evaluate the effects of the tumor location on the induced deformation. By relating the experimental data from the “diseased” liver specimen to the computational results, we estimated the radial distance between the tumor and the indenter, as well as the angular position of the tumor relative to the indenter.

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2106
Author(s):  
Ahmed Afifi ◽  
Chisato Takada ◽  
Yuichiro Yoshimura ◽  
Toshiya Nakaguchi

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.


2020 ◽  
Vol 11 (1) ◽  
pp. 87-95
Author(s):  
Guanming Zhu ◽  
Liang Zhou ◽  
Shilong Wang ◽  
Pengjie Lin ◽  
Jing Guo ◽  
...  

AbstractIt is a common challenge for the surgeon to detect pathological tissues and determine the resection margin during a minimally invasive surgery. In this study, we present a drop-in sensor probe based on the electrical bioimpedance spectroscopic technology, which can be grasped by a laparoscopic forceps and controlled by the surgeon to inspect suspicious tissue area conveniently. The probe is designed with an optimized electrode and a suitable shape specifically for Minimally Invasive Surgery (MIS). Subsequently, a series of ex vivo experiments are carried out with porcine liver tissue for feasibility validation. During the experiments, impedance measured at frequencies from 1 kHz to 2 MHz are collected on both normal tissues and water soaked tissue. In addition, classifiers based on discriminant analysis are developed. The result of the experiment indicate that the sensor probe can be used to measure the impedance of the tissue easily and the developed tissue classifier achieved accuracy of 80% and 100% respectively.


2009 ◽  
Vol 5 (3) ◽  
pp. 319-326 ◽  
Author(s):  
Benoît Herman ◽  
Bruno Dehez ◽  
Khanh Tran Duy ◽  
Benoît Raucent ◽  
Etienne Dombre ◽  
...  

Author(s):  
A C Lehman ◽  
M M Tiwari ◽  
B C Shah ◽  
S M Farritor ◽  
C A Nelson ◽  
...  

Minimally invasive surgery (MIS) reduces trauma and improves patient recovery. Traditional laparoscopic procedures are performed using multiple long, thin tools that are inserted through small incisions in the abdominal wall. The advantages of these procedures are often restricted to less complicated procedures owing to imaging and tissue manipulation limitations. These limitations can be overcome using advanced surgical systems, such as da Vinci®, that provide the surgeon with enhanced visualization and improved tool dexterity. However, the da Vinci system is expensive and occupies significant space in the operating room. The compact bevel-geared robot for advanced surgery, CoBRASurge, is a compact robotic system that addresses the space and expense limitations of large external robotic systems. This system provides a stable platform for laparoscopic tool manoeuvring, while also allowing the surgical team improved access to the patient. New methods for performing MIS, including single incision and natural orifice access, are also being developed to further minimize invasiveness through reducing or eliminating external incisions. However, the instruments for these procedures are further limited by accessing the peritoneal cavity through a single insertion point. Dexterous miniature robots that are completely inserted into the peritoneal cavity are being developed that mitigate these limitations to provide improved triangulation.


Author(s):  
Felipe B. Maegawa ◽  
Marah Hamdan ◽  
Ashtyn Barrientes ◽  
Alexander Philipovskiy ◽  
Sherif Elhanafi ◽  
...  

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