Browsing by Author "Mohammad Sadeghi, Majid"

Now showing 1 - 3 of 3

Citation - Scopus: 1
Image Processing Methodology for Patient-Specific Instrument Design
(Wiley, 2020) Mohammad Sadeghi, Majid; Kececi, Emin Faruk
Background Patient-specific instrumentation (PSI) improves accuracy of surgical operations. PSI needs software for preoperative planning and instrument design. In this study, we explain the methodology of developing a software tool for PSI guide design and preoperative planning in reverse shoulder arthroplasty (RSA). Methods Approaches used to prepare input data, transform them into meaningful features and use of those features to create special guide geometries are explained by describing different algorithms and libraries. Results The developed software is tested on three different patients' data. Preoperative planning is performed and guides designed by software and the patients' bones are manufactured and tested for RSA. The method of building a software is presented to do the preoperative planning and designing specific guides for each patient are shown to be properly functional. Conclusions This study proves processes in the development of the PSI software and the design of a specific guide for RSA.
The Digitized Shoulder: From Preoperative Planning to Patient-Specific Guides
(Springer International Publishing, 2022) Mohammad Sadeghi, Majid; Kapicioǧlu, Mehmet; Kececi, Emin Faruk; Bilsel, Kerem
As the information and computer technologies improve, it can change how the shoulder surgeries and treatments are done. Digitalization of the shoulder joint acquired via MR and CT (1) shows the surgeons the pathology in a more easily understandable way, (2) generates models for preoperative planning, and (3) uses special software to generate patient-specific instruments. Digitalization of the shoulder will make the shoulder disorder’s treatment easier and more accurate in the future. © 2023 Elsevier B.V., All rights reserved.
Citation - WoS: 1
Citation - Scopus: 3
Hybrid Power System for Mobile Robotics
(Institute of Electrical and Electronics Engineers Inc., 2017) Mohammad Sadeghi, Majid; Kececi, Emin Faruk
The power source is a design characteristic for a mobile robot in which the energy source used must provide enough power for a desired period of time depending on the specific task of a robot. Batteries are the most common power source of energy on mobile robots. Important factors for selecting battery solution as the power source includes weight of the batteries, maximum power availablility, maximum discharge rate, and the endurance of a battery. On the other hand, when the ratio of weight to energy is considered, overall, a gasoline engine is more efficient than a battery power system. This paper explains a design and realization of a hybrid energy system for a mobile robot where a gasoline engine powers an alternator to create electricity and this electrical energy is used to drive and power the electronics of the robot, with the understanding that it can only be used outside. The theory of a gasoline-electrical hybrid power system is explained and later by using a 5.5 horsepower (hp) Loncin engine and a car alternator a hybrid system is designed, manufactured and tested. The test results show the effectiveness of the design. © 2017 Elsevier B.V., All rights reserved.