Kazufumi Suzuki1, Satoru Morita2, Kenji Endo2, Takahiro Yamamoto2, Shuji Sakai2. 1. Department of Diagnostic Imaging and Nuclear Medicine, Tokyo Women's Medical University, 8-1, Kawada-cho, Shinjuku-ku, Tokyo, 162-8666, Japan. suzuki.kazufumi@twmu.ac.jp. 2. Department of Diagnostic Imaging and Nuclear Medicine, Tokyo Women's Medical University, 8-1, Kawada-cho, Shinjuku-ku, Tokyo, 162-8666, Japan.
Abstract
PURPOSE: This study aims to introduce a new handheld device application for noncontact and real-time measurements of the angle of a biopsy needle using augmented reality (AR) image tracking technology. Furthermore, this study discusses the methods used to optimize the related coordinate design for computed tomography (CT)-guided biopsy procedures. METHODS: An in-house noncontact angle measurement application was developed using AR platform software. This application tracks the position and direction of a printed texture located on the handle of a biopsy needle. The needle direction was factorized into two directions: tilting or rolling. Tilting was defined following the tilting of the CT gantry so that rolling would match the angle measured in CT images. In this study, CT-guided tumor biopsies were performed using a conventional guiding method with a protractor. The true value of needle rolling was measured by CT imaging and was then compared to the rolling measurement provided by the application developed in the current study using a mobile phone. RESULTS: This study enrolled 18 cases of tumor biopsy (five renal tumors, five lung tumors, four retroperitoneal tumors, one soft tissue tumor, one thyroid tumor, one mesentery tumor, and one bone tumor). The measurement accuracy was - 0.2°, which was the average difference between AR and CT, and the measurement precision was 2.0°, which was the standard deviation of the difference between AR and CT measurements. The coefficient of determination (R2) was 0.996. CONCLUSION: The noncontact needle measurement software using AR technology is sufficiently reliable for use in clinical settings. A real-time display of the needle angle that also shows the direction of the CT gantry is expected to enable a simple biopsy needle navigation.
PURPOSE: This study aims to introduce a new handheld device application for noncontact and real-time measurements of the angle of a biopsy needle using augmented reality (AR) image tracking technology. Furthermore, this study discusses the methods used to optimize the related coordinate design for computed tomography (CT)-guided biopsy procedures. METHODS: An in-house noncontact angle measurement application was developed using AR platform software. This application tracks the position and direction of a printed texture located on the handle of a biopsy needle. The needle direction was factorized into two directions: tilting or rolling. Tilting was defined following the tilting of the CT gantry so that rolling would match the angle measured in CT images. In this study, CT-guided tumor biopsies were performed using a conventional guiding method with a protractor. The true value of needle rolling was measured by CT imaging and was then compared to the rolling measurement provided by the application developed in the current study using a mobile phone. RESULTS: This study enrolled 18 cases of tumor biopsy (five renal tumors, five lung tumors, four retroperitoneal tumors, one soft tissue tumor, one thyroid tumor, one mesentery tumor, and one bone tumor). The measurement accuracy was - 0.2°, which was the average difference between AR and CT, and the measurement precision was 2.0°, which was the standard deviation of the difference between AR and CT measurements. The coefficient of determination (R2) was 0.996. CONCLUSION: The noncontact needle measurement software using AR technology is sufficiently reliable for use in clinical settings. A real-time display of the needle angle that also shows the direction of the CT gantry is expected to enable a simple biopsy needle navigation.
Authors: Michael Rosenthal; Andrei State; Joohi Lee; Gentaro Hirota; Jeremy Ackerman; Kurtis Keller; Etta Pisano; Michael Jiroutek; Keith Muller; Henry Fuchs Journal: Med Image Anal Date: 2002-09 Impact factor: 8.545
Authors: Frank K Wacker; Sebastian Vogt; Ali Khamene; John A Jesberger; Sherif G Nour; Daniel R Elgort; Frank Sauer; Jeffrey L Duerk; Jonathan S Lewin Journal: Radiology Date: 2006-02 Impact factor: 11.105