Literature DB >> 18722271

Improving soft-tissue contrast in four-dimensional computed tomography images of liver cancer patients using a deformable image registration method.

He Wang1, Sunil Krishnan, Xiaochun Wang, A Sam Beddar, Tina M Briere, Christopher H Crane, Radhe Mohan, Lei Dong.   

Abstract

PURPOSE: To investigate a deformable image registration method to improve soft-tissue contrast in four-dimensional (4D) computed tomography (CT) images of the liver. METHODS AND MATERIALS: Ten patients with hepatocellular carcinoma underwent 4D CT scan for radiotherapy treatment planning on a positron emission tomography/CT scanner. Four-dimensional CT images were binned into 10 equispaced phases. The exhale phase served as the reference phase, and images from the other nine phases were coregistered to the reference phase image using an intensity-based, automatic deformable image registration method. Then the coregistered images were combined to create a single, high-quality reconstructed CT image at exhale phase as the new reference for target delineation. The extent of image quality enhancement was quantified relative to the original CT by calculating the signal-to-noise ratio and the contrast-to-noise ratio.
RESULTS: The soft tissue image contrast was noticeably better after deformable image registration than in the original scans. Signal-to-noise ratios inside the liver region of interest increased for all patients by a factor of 3.0 (range, 2.3-3.7). The improvement in image quality was not linearly proportionate to the number of images averaged. Using only 6 phases can achieve at least 85% of the contrast enhancement that can be achieved using all 10 phases. We also found that contrast enhancement was inversely proportional to the original image quality (p = 0.006), and the contrast enhancement is attained with little loss of spatial resolution.
CONCLUSIONS: This deformable image registration method is feasible to improve soft-tissue image quality in 4D CT images.

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Year:  2008        PMID: 18722271     DOI: 10.1016/j.ijrobp.2008.04.054

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  5 in total

1.  Proton beam therapy outcomes for localized unresectable hepatocellular carcinoma.

Authors:  Awalpreet S Chadha; Jillian R Gunther; Cheng-En Hsieh; Maureen Aliru; Lakshmi S Mahadevan; Bhanu P Venkatesulu; Christopher H Crane; Prajnan Das; Joseph M Herman; Eugene J Koay; Cullen Taniguchi; Emma B Holliday; Bruce D Minsky; Yelin Suh; Peter Park; Gabriel Sawakuchi; Sam Beddar; Bruno C Odisio; Sanjay Gupta; Evelyne Loyer; Harmeet Kaur; Kanwal Raghav; Milind M Javle; Ahmed O Kaseb; Sunil Krishnan
Journal:  Radiother Oncol       Date:  2019-01-16       Impact factor: 6.280

2.  Time-resolved computed tomography of the liver: retrospective, multi-phase image reconstruction derived from volumetric perfusion imaging.

Authors:  Michael A Fischer; Bertil Leidner; Nikolaos Kartalis; Anders Svensson; Peter Aspelin; Nils Albiin; Torkel B Brismar
Journal:  Eur Radiol       Date:  2013-08-31       Impact factor: 5.315

3.  Effect of breathing motion on radiotherapy dose accumulation in the abdomen using deformable registration.

Authors:  Michael Velec; Joanne L Moseley; Cynthia L Eccles; Tim Craig; Michael B Sharpe; Laura A Dawson; Kristy K Brock
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-08-21       Impact factor: 7.038

4.  Adapting liver motion models using a navigator channel technique.

Authors:  T N Nguyen; J L Moseley; L A Dawson; D A Jaffray; K K Brock
Journal:  Med Phys       Date:  2009-04       Impact factor: 4.071

5.  Enhancement pattern mapping technique for improving contrast-to-noise ratios and detectability of hepatobiliary tumors on multiphase computed tomography.

Authors:  Peter C Park; Gye W Choi; Mohamed M Zaid; Dalia Elganainy; Danyal A Smani; John Tomich; Ray Samaniego; Jingfei Ma; Eric P Tamm; Sam Beddar; Eugene J Koay
Journal:  Med Phys       Date:  2019-11-19       Impact factor: 4.506

  5 in total

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