Ehsan Azimi

Dr. Ehsan Azimi


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 October 2018 in Healthcare Technology Letters
Verified
Journal Article
Open access
PDF file
TSTianyu Song
Tianyu Song
CYChenglin Yang
Chenglin Yang
ODOmid Dianat
Omid Dianat
EAEhsan Azimi
Ehsan Azimi
Endodontic treatment is performed to treat inflamed or infected root canal system of any involved teeth. It is estimated that 22.3 million endodontic procedures are performed annually in the USA. Preparing a proper access cavity before cleaning/shaping (instrumentation) of the root canal system is among the most important steps to achieve a successful treatment outcome. However, accidents such as perforation, gouging, ledge and canal transportation may occur during the procedure because of an improper or incomplete access cavity design. To reduce or prevent these errors in root canal treatments, this Letter introduces an assistive augmented reality (AR) technology on the head‐mounted display (HMD). The proposed system provides audiovisual warning and correction in situ on the optical see‐through HMD to assist the dentists to prepare access cavity. Interaction of the clinician with the system is via voice commands allowing the bi‐manual operation. Also, dentist is able to review tooth radiographs during the procedure without the need to divert attention away from the patient and look at a separate monitor. Experiments are performed to evaluate the accuracy of the measurements. To the best of the authors’ knowledge, this is the first time that an HMD‐based AR prototype is introduced for an endodontic procedure.

29 September 2020
Verified
Book Chapter
Closed access
PDF file
EAEhsan Azimi
Ehsan Azimi
ZNZhiyuan Niu
Zhiyuan Niu
MSMaia Stiber
Maia Stiber
NGNicholas Greene
Nicholas Greene
RLRuby Liu
Ruby Liu
PKPeter Kazanzides
Peter Kazanzides

28 March 2024 in Healthcare Technology Letters
Verified
Journal Article
Open access
PDF file
LALetian Ai
Letian Ai
PKPeter Kazanzides
Peter Kazanzides
EAEhsan Azimi
Ehsan Azimi
Surgical robotics has revolutionized the field of surgery, facilitating complex procedures in operating rooms. However, the current teleoperation systems often rely on bulky consoles, which limit the mobility of surgeons. This restriction reduces surgeons' awareness of the patient during procedures and narrows the range of implementation scenarios. To address these challenges, an alternative solution is proposed: a mixed reality‐based teleoperation system. This system leverages hand gestures, head motion tracking, and speech commands to enable the teleoperation of surgical robots. The implementation focuses on the da Vinci research kit (dVRK) and utilizes the capabilities of Microsoft HoloLens 2. The system's effectiveness is evaluated through camera navigation tasks and peg transfer tasks. The results indicate that, in comparison to manipulator‐based teleoperation, the system demonstrates comparable viability in endoscope teleoperation. However, it falls short in instrument teleoperation, highlighting the need for further improvements in hand gesture recognition and video display quality.

2 April 2024 in Healthcare Technology Letters
Verified
Journal Article
Open access
FLFangjie Li
Fangjie Li
QGQingying Gao
Qingying Gao
NWNengyu Wang
Nengyu Wang
NGNicholas Greene
Nicholas Greene
TSTianyu Song
Tianyu Song
EAEhsan Azimi
Ehsan Azimi
Root canal therapy (RCT) is a widely performed procedure in dentistry, with over 25 million individuals undergoing it annually. This procedure is carried out to address inflammation or infection within the root canal system of affected teeth. However, accurately aligning CT scan information with the patient's tooth has posed challenges, leading to errors in tool positioning and potential negative outcomes. To overcome these challenges, a mixed reality application is developed using an optical see‐through head‐mounted display (OST‐HMD). The application incorporates visual cues, an augmented mirror, and dynamically updated multi‐view CT slices to address depth perception issues and achieve accurate tooth localization, comprehensive canal exploration, and prevention of perforation during RCT. Through the preliminary experimental assessment, significant improvements in the accuracy of the procedure are observed. Specifically, with the system the accuracy in position was improved from 1.4 to 0.4 mm (more than a 70% gain) using an Optical Tracker (NDI) and from 2.8 to 2.4 mm using an HMD, thereby achieving submillimeter accuracy with NDI. 6 participants were enrolled in the user study. The result of the study suggests that the average displacement on the crown plane of 1.27 ± 0.83 cm, an average depth error of 0.90 ± 0.72 cm and an average angular deviation of 1.83 ± 0.83°. Our error analysis further highlights the impact of HMD spatial localization and head motion on the registration and calibration process. Through seamless integration of CT image information with the patient's tooth, our mixed reality application assists dentists in achieving precise tool placement. This advancement in technology has the potential to elevate the quality of root canal procedures, ensuring better accuracy and enhancing overall treatment outcomes.

2 October 2018
Verified
Book Chapter
Closed access
PDF file
EAEhsan Azimi
Ehsan Azimi
CMCamilo Molina
Camilo Molina
ACAlexander Chang
Alexander Chang
JHJudy Huang
Judy Huang
CHChien-Ming Huang
Chien-Ming Huang
PKPeter Kazanzides
Peter Kazanzides