A comparison of two image fusion techniques in ct-on-rails localization of radiation delivery

Fung, A.; Wong, James R.; Cheng, Chee-Wai; Grimm, Stephanie; Uematsu, Minoru

doi:10.1016/s1120-1797(05)80012-2

Cited by 7 publications

(5 citation statements)

References 17 publications

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“…The 11 algorithms investigated in this study together with their corresponding optimal parameters (not shown for the algorithms unable to adequately register the phantom boundary). The parameters examined were smoothing during iterations (α 2 in the optical flow algorithms or Gaussian low-pass filter window size, σ , for demons algorithms), the number of passes at the first multigrid stage (finest resolution), a, the increment that the number of passes increases for subsequent multigrid stages, b, and the total number of iterations, N, run over the four multigrid stages (n = 1, 2, 3,4) (n = 1, 2, 3, 4), each with 2n passes and each pass having 10n iterations. These parameters resulted in a spatial accuracy convergence within 0.1 mm (∼20% of the minimum voxel size).…”

Section: Iib Deformable Image Registration Algorithmsmentioning

confidence: 99%

Is it sensible to “deform” dose? 3D experimental validation of dose‐warping

et al. 2012

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We have confirmed that, for a range of mass and density conserving deformations representative of those observable in anatomical targets, DIR-based dose-warping can yield accurate predictions of the dose distribution. Substantial differences can be seen between the results of different algorithms indicating that DIR performance should be scrutinized before application todose-warping. We have demonstrated that the DEFGEL deformable dosimeter can be used to evaluate DIR performance and the accuracy of dose-warping results by direct measurement.

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Section: Iib Deformable Image Registration Algorithmsmentioning

confidence: 99%

Is it sensible to “deform” dose? 3D experimental validation of dose‐warping

et al. 2012

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“…For visual alignment mode, the two image sets are overlapped such that they can be aligned manually according to the anatomical structures location. Structure contours from the PLCT can also be displayed on the verification images to aid the alignment process 12, 13 . Normally the time needed for scanning plus registration is about 7 to 8 minutes 14 .…”

Section: Image Acquisition and Registrationmentioning

confidence: 99%

“…Structure contours from the PLCT can also be displayed on the verification images to aid the alignment process. 12,13 Normally the time needed for scanning plus registration is about 7 to 8 minutes. 14 The offsets measured by the registration system are then corrected by precise couch motion before proceeding to treatment.…”

Section: Ct On Railsmentioning

confidence: 99%

Image-guided radiation therapy using computed tomography in radiotherapy

Fung

2010

J Radiother Pract

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The sharp dose gradients in intensity-modulated radiation therapy increase the treatment sensitivity to various inter-and intra-fractional uncertainties, in which a slight anatomical change may greatly alter the actual dose delivered. Image-guided radiotherapy refers to the use of advanced imaging techniques to precisely track and correct these patient-specific variations in routine treatment. It can also monitor organ changes during a radiotherapy course. Currently, image-guided radiotherapy using computed tomography has gained much popularity in radiotherapy verification as it provides volumetric images with soft-tissue contrast for on-line tracking of tumour. This article reviews four types of computed tomography-based image guidance systems and their working principles. The system characteristics and clinical applications of the helical, megavoltage, computed tomography, and kilovoltage, cone-beam, computed tomography systems are discussed, given that they are currently the most commonly used systems for radiotherapy verification. This article also focuses on the recent techniques of soft-tissue contrast enhancement, digital tomosynthesis, four-dimensional fluoroscopic image guidance, and kilovoltage/megavoltage, in-line cone-beam imaging. These evolving systems are expected to take over the conventional two-dimensional verification system in the near future and provide the basis for implementing adaptive radiotherapy.

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“…Fung et al (16) compared two image fusion techniques during radiation release for cancer patients. The occurrence of unexpected translations and rotations led to the conclusion that the fusion through the visual alignment is more robust in some cases than the registration with control points; therefore, this was the elected method to study the patient position.…”

Section: Introductionmentioning

confidence: 99%

Fast volumetric registration method for tumor follow‐up in pulmonary CT exams

Silva

Cancela

Teixeira³

2011

J Applied Clin Med Phys

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An oncological patient may go through several tomographic acquisitions during a period of time, needing an appropriate registration. We propose an automatic volumetric intrapatient registration method for tumor follow‐up in pulmonary CT exams. The performance of our method is evaluated and compared with other registration methods based on optimization techniques. We also compared the metrics behavior to inspect which metric is more sensitive to changes due to the presence of lung tumors.PACS numbers: 87.57.nj; 87.57.Q‐; 87.57.N‐

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A comparison of two image fusion techniques in ct-on-rails localization of radiation delivery

Cited by 7 publications

References 17 publications

Is it sensible to “deform” dose? 3D experimental validation of dose‐warping

Is it sensible to “deform” dose? 3D experimental validation of dose‐warping

Image-guided radiation therapy using computed tomography in radiotherapy

Fast volumetric registration method for tumor follow‐up in pulmonary CT exams

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