Technical Note: Combination of multiple EPID imager layers improves image quality and tracking performance of low contrast‐to‐noise objects

Purpose We hypothesized that combining multiple amorphous silicon flat panel layers increases photon detection efficiency in an electronic portal imaging device (EPID), improving image quality and tracking accuracy of low‐contrast targets during radiotherapy. Methods The prototype imager evaluated in this study contained four individually programmable layers each with a copper converter layer, Gd2O2S scintillator, and active‐matrix flat panel imager (AMFPI). The imager was placed on a Varian TrueBeam linac and a Las Vegas phantom programmed with sinusoidal motion (peak‐to‐peak amplitude = 20 mm, period = 3.5 s) was imaged at a frame rate of 10 Hz with one to four layers activated. Number of visible circles and CNR of least visible circle (depth = 0.5 mm, diameter = 7 mm) was computed to assess the image quality of single and multiple layers. A previously validated tracking algorithm was employed for auto‐tracking. Tracking error was defined as the difference between the programmed and tracked positions of the circle. Pearson correlation coefficient (R) of CNR and tracking errors was computed. Results Motion‐induced blurring significantly reduced circle visibility. During four cycles of phantom motion, the number of visible circles varied from 11–23, 13–24, 15–25, and 16–26 for one‐ two‐ three‐ and four‐layer imagers, respectively. Compared with using only a single layer, combining two, three, and four layers increased the median CNR by factors of 1.19, 1.42, and 1.71, respectively and reduced the average tracking error from 3.32 mm to 1.67 mm to 1.47 mm, and 0.74 mm, respectively. Significant correlations (P˜10−9) were found between the tracking error and CNR. Conclusion Combination of four conventional EPID layers significantly improves the EPID image quality and tracking accuracy for a poorly visible object which is moving with a frequency and amplitude similar to respiratory motion.

[1]  Ross I Berbeco,et al.  Clinical feasibility of using an EPID in CINE mode for image-guided verification of stereotactic body radiotherapy. , 2007, International journal of radiation oncology, biology, physics.

[2]  M.,et al.  Statistical and Structural Approaches to Texture , 2022 .

[3]  V. Cosgrove,et al.  Optimization of image quality and dose for Varian aS500 electronic portal imaging devices (EPIDs) , 2007, Physics in medicine and biology.

[4]  J Rottmann,et al.  EPID-guided 3D dose verification of lung SBRT. , 2010, Medical physics.

[5]  J Rottmann,et al.  Markerless EPID image guided dynamic multi-leaf collimator tracking for lung tumors , 2013, Physics in medicine and biology.

[6]  S. Yip,et al.  Beam's-eye-view imaging during non-coplanar lung SBRT. , 2015, Medical physics.

[7]  Ross Berbeco,et al.  The impact of cine EPID image acquisition frame rate on markerless soft-tissue tracking. , 2014, Medical physics.

[8]  Matthias Guckenberger,et al.  Feasibility study for markerless tracking of lung tumors in stereotactic body radiotherapy. , 2010, International journal of radiation oncology, biology, physics.

[9]  Hiroki Shirato,et al.  Image-guided adaptive gating of lung cancer radiotherapy: a computer simulation study , 2010, Physics in Medicine and Biology.

[10]  P. Lambin,et al.  A literature review of electronic portal imaging for radiotherapy dosimetry. , 2008, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[11]  Steve B. Jiang Radiotherapy of mobile tumors. , 2006, Seminars in radiation oncology.

[12]  John H. Lewis,et al.  Registration of clinical volumes to beams-eye-view images for real-time tracking. , 2014, Medical physics.

[13]  Parag J. Parikh,et al.  Development of the 4D Phantom for patient-specific end-to-end radiation therapy QA , 2007, SPIE Medical Imaging.

[14]  Paul Keall,et al.  Real-time soft tissue motion estimation for lung tumors during radiotherapy delivery. , 2013, Medical physics.

[15]  J. Strzelczyk The Essential Physics of Medical Imaging , 2003 .

[16]  L Court,et al.  A multi-region algorithm for markerless beam's-eye view lung tumor tracking , 2010, Physics in medicine and biology.

[17]  Ross Berbeco,et al.  A novel EPID design for enhanced contrast and detective quantum efficiency , 2016, Physics in medicine and biology.

[18]  Ross Berbeco,et al.  Automatic marker detection and 3D position reconstruction using cine EPID images for SBRT verification. , 2009, Medical physics.

[19]  I. El Naqa,et al.  Sci—Thur AM: YIS ‐ 02: Radiogenomic Modeling of Normal Tissue Toxicities in Prostate Cancer Patients Receiving Hypofractionated Radiotherapy , 2014 .

[20]  Steve B. Jiang,et al.  The management of respiratory motion in radiation oncology report of AAPM Task Group 76. , 2006, Medical physics.