Development of a system for anatomical landmarks localization using ultrasonic signals

2016 ◽  
Author(s):  
Janusz Kulon ◽  
Michael Voysey ◽  
Adam Partlow ◽  
Paul Rogers ◽  
Colin Gibson
Keyword(s):  
Anatomical Landmarks ◽  
Ultrasonic Signals

Combining Ultrasonic Signals And Multi-Colored Images To Perform Object Tracking And Recognition In Low-Cost Robotic Platforms

2016 ◽  
Author(s):  
Danilo H. F. Menezes ◽  
Thiago D. Mendonca ◽  
Wolney M. Neto ◽  
Hendrik T. Macedo ◽  
Leonardo N. Matos
Keyword(s):  
Object Tracking ◽  
Low Cost ◽  
Ultrasonic Signals ◽  
Robotic Platforms ◽  
Tracking And Recognition

scholarly journals Comparison of cephalometric measurements between conventional and automatic cephalometric analysis using convolutional neural network

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Sangmin Jeon ◽  
Kyungmin Clara Lee
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Rapid Development ◽  
Cephalometric Analysis ◽  
Anatomical Landmarks ◽  
Limits Of Agreement ◽  
Mandibular Incisor ◽  
Lateral Cephalograms ◽  
Dental Measurements ◽  
Cephalometric Measurements

Abstract Objective The rapid development of artificial intelligence technologies for medical imaging has recently enabled automatic identification of anatomical landmarks on radiographs. The purpose of this study was to compare the results of an automatic cephalometric analysis using convolutional neural network with those obtained by a conventional cephalometric approach. Material and methods Cephalometric measurements of lateral cephalograms from 35 patients were obtained using an automatic program and a conventional program. Fifteen skeletal cephalometric measurements, nine dental cephalometric measurements, and two soft tissue cephalometric measurements obtained by the two methods were compared using paired t test and Bland-Altman plots. Results A comparison between the measurements from the automatic and conventional cephalometric analyses in terms of the paired t test confirmed that the saddle angle, linear measurements of maxillary incisor to NA line, and mandibular incisor to NB line showed statistically significant differences. All measurements were within the limits of agreement based on the Bland-Altman plots. The widths of limits of agreement were wider in dental measurements than those in the skeletal measurements. Conclusions Automatic cephalometric analyses based on convolutional neural network may offer clinically acceptable diagnostic performance. Careful consideration and additional manual adjustment are needed for dental measurements regarding tooth structures for higher accuracy and better performance.

scholarly journals Laparoscopic augmented reality registration for oncological resection site repair

2021 ◽  
Author(s):  
Fabian Joeres ◽  
Tonia Mielke ◽  
Christian Hansen
Keyword(s):  
Augmented Reality ◽  
Time Pressure ◽  
Tumour Resection ◽  
Anatomical Landmarks ◽  
Proof Of Concept ◽  
Registration Accuracy ◽  
Target Registration Error ◽  
Concept Evaluation ◽  
Navigation Support ◽  
Challenges And Opportunities

Abstract Purpose Resection site repair during laparoscopic oncological surgery (e.g. laparoscopic partial nephrectomy) poses some unique challenges and opportunities for augmented reality (AR) navigation support. This work introduces an AR registration workflow that addresses the time pressure that is present during resection site repair. Methods We propose a two-step registration process: the AR content is registered as accurately as possible prior to the tumour resection (the primary registration). This accurate registration is used to apply artificial fiducials to the physical organ and the virtual model. After the resection, these fiducials can be used for rapid re-registration (the secondary registration). We tested this pipeline in a simulated-use study with $$N=18$$ N = 18 participants. We compared the registration accuracy and speed for our method and for landmark-based registration as a reference. Results Acquisition of and, thereby, registration with the artificial fiducials were significantly faster than the initial use of anatomical landmarks. Our method also had a trend to be more accurate in cases in which the primary registration was successful. The accuracy loss between the elaborate primary registration and the rapid secondary registration could be quantified with a mean target registration error increase of 2.35 mm. Conclusion This work introduces a registration pipeline for AR navigation support during laparoscopic resection site repair and provides a successful proof-of-concept evaluation thereof. Our results indicate that the concept is better suited than landmark-based registration during this phase, but further work is required to demonstrate clinical suitability and applicability.

A novel machine learning-based algorithm to identify and classify lesions and anatomical landmarks in colonoscopy images

2021 ◽  
Author(s):  
Ying-Chun Jheng ◽  
Yen-Po Wang ◽  
Hung-En Lin ◽  
Kuang-Yi Sung ◽  
Yuan-Chia Chu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Anatomical Landmarks

scholarly journals Graft Preparation for Combined ACL and ALL Reconstruction With a Single Femoral Tunnel

2021 ◽  
Vol 1 (3) ◽  
pp. 263502542110045
Author(s):  
Camilo Partezani Helito ◽  
Tales Mollica Guimarães ◽  
Marcel Faraco Sobrado
Keyword(s):  
Anterior Cruciate Ligament ◽  
High Risk ◽  
Cruciate Ligament ◽  
Anterolateral Ligament ◽  
Anatomical Landmarks ◽  
High Risk Patients ◽  
Risk Patients ◽  
Anterior Cruciate ◽  
Semitendinosus Graft ◽  
Lemaire Procedure

Background: Combined reconstruction of the anterolateral ligament (ALL) and anterior cruciate ligament (ACL) has shown excellent results. It could potentially reduce graft failure and improve outcomes in high-risk patients. There are several surgical techniques described. Hamstrings are the most frequently used graft for ALL reconstruction. The distal portion of the iliotibial band is used for the modified Lemaire procedure. Indications: Anterior cruciate ligament reconstructions associated with the following risk factors: pivoting sports, high-demand athletes, high-grade pivot-shift, chronic ACL injury, lateral femoral condyle notch, Segond fractures, young patients (<20 years), ACL revision, generalized hyperlaxity, and Lachman >7 mm. Technique Description: Semitendinosus and gracilis tendons are harvested and their extremities are prepared with continuous suture. The semitendinosus graft is folded in 3 parts leaving the ends of the graft internalized. The triple semitendinosus will be the main component of the ACL and the single gracilis will be used for both ACL and ALL. Anterolateral ligament anatomical landmarks are proximal and posterior to the lateral epicondyle in the femur, and in the mid distance from the fibular head and the Gerdy tubercle in the tibia. The ALL is fixed in knee extension with interference screws. This video also includes a brief demonstration of graft preparation for the modified Lemaire procedure. Results: Results from our group using this technique have shown excellent clinical outcomes, minimal complications, and low failure rates in high-risk populations. This graft preparation shows excellent diameter and length for combined ACL and ALL reconstruction. Conclusion: This technique is easy to perform, with minimal complications, and should be considered in high-risk patients undergoing ACL reconstruction.

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