Literature DB >> 29235440

Leveraging multi-layer imager detector design to improve low-dose performance for megavoltage cone-beam computed tomography.

Yue-Houng Hu1, Joerg Rottmann, Rony Fueglistaller, Marios Myronakis, Adam Wang, Pascal Huber, Daniel Shedlock, Daniel Morf, Paul Baturin, Josh Star-Lack, Ross Berbeco.   

Abstract

While megavoltage cone-beam computed tomography (CBCT) using an electronic portal imaging device (EPID) provides many advantages over kilovoltage (kV) CBCT, clinical adoption is limited by its high doses. Multi-layer imager (MLI) EPIDs increase DQE(0) while maintaining high resolution. However, even well-designed, high-performance MLIs suffer from increased electronic noise from each readout, degrading low-dose image quality. To improve low-dose performance, shift-and-bin addition (ShiBA) imaging is proposed, leveraging the unique architecture of the MLI. ShiBA combines hardware readout-binning and super-resolution concepts, reducing electronic noise while maintaining native image sampling. The imaging performance of full-resolution (FR); standard, aligned binned (BIN); and ShiBA images in terms of noise power spectrum (NPS), electronic NPS, modulation transfer function (MTF), and the ideal observer signal-to-noise ratio (SNR)-the detectability index (d')-are compared. The FR 4-layer readout of the prototype MLI exhibits an electronic NPS magnitude 6-times higher than a state-of-the-art single layer (SLI) EPID. Although the MLI is built on the same readout platform as the SLI, with each layer exhibiting equivalent electronic noise, the multi-stage readout of the MLI results in electronic noise 50% higher than simple summation. Electronic noise is mitigated in both BIN and ShiBA imaging, reducing its total by ~12 times. ShiBA further reduces the NPS, effectively upsampling the image, resulting in a multiplication by a sinc2 function. Normalized NPS show that neither ShiBA nor BIN otherwise affects image noise. The LSF shows that ShiBA removes the pixilation artifact of BIN images and mitigates the effect of detector shift, but does not quantifiably improve the MTF. ShiBA provides a pre-sampled representation of the images, mitigating phase dependence. Hardware binning strategies lower the quantum noise floor, with 2  ×  2 implementation reducing the dose at which DQE(0) degrades by 10% from 0.01 MU to 0.004 MU, representing 20% improvement in d'.

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Year:  2018        PMID: 29235440      PMCID: PMC5824638          DOI: 10.1088/1361-6560/aaa160

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  22 in total

1.  A performance comparison of flat-panel imager-based MV and kV cone-beam CT.

Authors:  B A Groh; J H Siewerdsen; D G Drake; J W Wong; D A Jaffray
Journal:  Med Phys       Date:  2002-06       Impact factor: 4.071

2.  Comparison of model and human observer performance for detection and discrimination tasks using dual-energy x-ray images.

Authors:  Samuel Richard; Jeffrey H Siewerdsen
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

3.  Experimental validation of a three-dimensional linear system model for breast tomosynthesis.

Authors:  Bo Zhao; Jun Zhou; Yue-Houng Hu; Thomas Mertelmeier; Jasmina Ludwig; Wei Zhao
Journal:  Med Phys       Date:  2009-01       Impact factor: 4.071

4.  Image artifacts in digital breast tomosynthesis: investigation of the effects of system geometry and reconstruction parameters using a linear system approach.

Authors:  Yue-Houng Hu; Bo Zhao; Wei Zhao
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

5.  Three-dimensional linear system analysis for breast tomosynthesis.

Authors:  Bo Zhao; Wei Zhao
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

6.  Optimization of contrast-enhanced breast imaging: Analysis using a cascaded linear system model.

Authors:  Yue-Houng Hu; David A Scaduto; Wei Zhao
Journal:  Med Phys       Date:  2017-01-03       Impact factor: 4.071

7.  A novel multilayer MV imager computational model for component optimization.

Authors:  Marios Myronakis; Josh Star-Lack; Paul Baturin; Joerg Rottmann; Daniel Morf; Adam Wang; Yue-Houng Hu; Daniel Shedlock; Ross I Berbeco
Journal:  Med Phys       Date:  2017-06-28       Impact factor: 4.071

Review 8.  Megavoltage cone-beam CT: system description and clinical applications.

Authors:  Olivier Morin; Amy Gillis; Josephine Chen; Michèle Aubin; M Kara Bucci; Mack Roach; Jean Pouliot
Journal:  Med Dosim       Date:  2006       Impact factor: 1.482

9.  A novel method for quantification of beam's-eye-view tumor tracking performance.

Authors:  Yue-Houng Hu; Marios Myronakis; Joerg Rottmann; Adam Wang; Daniel Morf; Daniel Shedlock; Paul Baturin; Josh Star-Lack; Ross Berbeco
Journal:  Med Phys       Date:  2017-10-13       Impact factor: 4.071

10.  In vivo quality assurance of volumetric modulated arc therapy for ano-rectal cancer with thermoluminescent dosimetry and image-guidance.

Authors:  Giovanna Dipasquale; Philippe Nouet; Michel Rouzaud; Angèle Dubouloz; Raymond Miralbell; Thomas Zilli
Journal:  Radiother Oncol       Date:  2014-05-15       Impact factor: 6.280

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  3 in total

1.  Low-dose megavoltage cone-beam computed tomography using a novel multi-layer imager (MLI).

Authors:  Marios Myronakis; Pascal Huber; Mathias Lehmann; Rony Fueglistaller; Matthew Jacobson; Yue-Houng Hu; Paul Baturin; Adam Wang; Mengying Shi; Thomas Harris; Daniel Morf; Ross Berbeco
Journal:  Med Phys       Date:  2020-01-28       Impact factor: 4.071

Review 2.  Technical Principles of Dual-Energy Cone Beam Computed Tomography and Clinical Applications for Radiation Therapy.

Authors:  Shailaja Sajja; Young Lee; Markus Eriksson; Håkan Nordström; Arjun Sahgal; Masoud Hashemi; James G Mainprize; Mark Ruschin
Journal:  Adv Radiat Oncol       Date:  2019-07-30

3.  Development of a novel high quantum efficiency MV x-ray detector for image-guided radiotherapy: A feasibility study.

Authors:  Jian Liu; Yuan Xu; Aram Teymurazyan; Zisis Papandreou; Geordi Pang
Journal:  Med Phys       Date:  2019-11-04       Impact factor: 4.071

  3 in total

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