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Bettati P, Young J, Rathgeb A, Nawawithan N, Gahan J, Johnson B, Aspenleiter R, Browne F, Chaudhari A, Guin A, Sikand V, Webb G, Sherey J, Shammet A, Fei B. An augmented reality-guided biopsy system using a high-speed motion tracking and real-time registration platform. Proc SPIE Int Soc Opt Eng 2024; 12928:129281G. [PMID: 38708142 PMCID: PMC11069180 DOI: 10.1117/12.3008573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
Biopsies play a crucial role in diagnosis of various diseases including cancers. In this study, we developed an augmented reality (AR) system to improve biopsy procedures and increase targeting accuracy. Our AR-guided biopsy system uses a high-speed motion tracking technology and an AR headset to display a holographic representation of the organ, lesions, and other structures of interest superimposed on real physical objects. The first application of our AR system is prostate biopsy. By incorporating preoperative scans, such as computed tomography (CT) or magnetic resonance imaging (MRI), into real-time ultrasound-guided procedures, this innovative AR-guided system enables clinicians to see the lesion as well as the organs in real time. With the enhanced visualization of the prostate, lesion, and surrounding organs, surgeons can perform prostate biopsies with an increased accuracy. Our AR-guided biopsy system yielded an average targeting accuracy of 2.94 ± 1.04 mm and can be applied for real-time guidance of prostate biopsy as well as other biopsy procedures.
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Affiliation(s)
- Patric Bettati
- Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX
| | - Jeff Young
- Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX
| | - Armand Rathgeb
- Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX
| | - Nati Nawawithan
- Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX
| | - Jeffrey Gahan
- Department of Urology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Brett Johnson
- Department of Urology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Ryan Aspenleiter
- Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX
| | - Fintan Browne
- Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX
| | - Aditi Chaudhari
- Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX
| | - Aditya Guin
- Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX
| | - Varin Sikand
- Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX
| | - Grant Webb
- Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX
| | - Jeremy Sherey
- Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX
| | - Alsadiq Shammet
- Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX
| | - Baowei Fei
- Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX
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Scarborough DM, Linderman SE, Aspenleiter R, Berkson EM. Quantifying muscle contraction with a conductive electroactive polymer sensor: introduction to a novel surface mechanomyography device. Int Biomech 2023; 10:1-10. [PMID: 38419418 PMCID: PMC10906126 DOI: 10.1080/23335432.2024.2319068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 02/11/2024] [Indexed: 03/02/2024] Open
Abstract
Clinicians seek an accurate method to assess muscle contractility during activities to better guide treatment. We investigated application of a conductive electroactive polymer sensor as a novel wearable surface mechanomyography (sMMG) sensor for quantifying muscle contractility. The radial displacement of a muscle during a contraction is detected by the physically stretched dielectric elastomer component of the sMMG sensor which quantifies the changes in capacitance. The duration of muscle activation times for quadriceps, hamstrings, and gastrocnemius muscles demonstrated strong correlation between sMMG and EMG during a parallel squat activity and isometric contractions. A moderate to strong correlation was demonstrated between the sMMG isometric muscle activation times and force output times from a dynamometer. The potential wearable application of an electroactive polymer sensor to measure muscle contraction time is supported.
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Affiliation(s)
| | - Shannon E. Linderman
- Department of Orthopaedic Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Eric M. Berkson
- Department of Orthopaedic Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
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Linderman SE, Scarborough DM, Aspenleiter R, Stein HS, Berkson EM. Assessing Quadriceps Muscle Contraction Using a Novel Surface Mechanomyography Sensor during Two Neuromuscular Control Screening Tasks. Sensors (Basel) 2023; 23:6031. [PMID: 37447881 DOI: 10.3390/s23136031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/22/2023] [Accepted: 06/22/2023] [Indexed: 07/15/2023]
Abstract
Electromyography (EMG) is the clinical standard for capturing muscle activation data to gain insight into neuromuscular control, yet challenges surrounding data analysis limit its use during dynamic tasks. Surface mechanomyography (sMMG) sensors are novel wearable devices that measure the physical output of muscle excursion during contraction, which may offer potential easy application to assess neuromuscular control. This study aimed to investigate sMMG detection of the timing patterns of muscle contraction compared to EMG. Fifteen healthy participants (mean age = 31.7 ± 9.1 y; eight males and seven females) were donned with EMG and sMMG sensors on their right quadriceps for simultaneous data capture during bilateral deep squats, and a subset performed three sets of repeated unilateral partial squats. No significant difference in the total duration of contraction was detected by EMG and sMMG during bilateral (p = 0.822) and partial (p = 0.246) squats. sMMG and EMG timing did not differ significantly for eccentric (p = 0.414) and concentric (p = 0.462) phases of muscle contraction during bilateral squats. The sMMG magnitude of quadriceps excursion demonstrated excellent intra-session retest reliability for bilateral (ICC3,1 = 0.962 mm) and partial (ICC3,1 = 0.936 mm, n = 10) squats. The sMMG sensors accurately and consistently provided key quadriceps muscle performance metrics during two physical activities commonly used to assess neuromuscular control for injury prevention, rehabilitation, and exercise training.
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Affiliation(s)
- Shannon E Linderman
- Department of Orthopaedic Surgery, Massachusetts General Hospital, Boston, MA 02114, USA
| | | | | | - Hannah S Stein
- Department of Orthopaedic Surgery, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Eric M Berkson
- Department of Orthopaedic Surgery, Massachusetts General Hospital, Boston, MA 02114, USA
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Linderman S, Aspenleiter R, Stein H, Berkson E. Relationship of Surface Mechanomyography to Force Production in an Assessment of Gastrocnemius Muscle Contraction. FASEB J 2020. [DOI: 10.1096/fasebj.2020.34.s1.07008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | | | | | - Eric Berkson
- Massachusetts General Hospital
- Harvard Medical School
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