Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques

West, Jay B.; Jm, Fitzpatrick; My, Wang; Bm, Dawant; Cr, Maurer; Rm, Kessler; Rj, Maciunas; Barillot, Christian; Lemoine, D.; Collignon, André; Maes, Frederik; Suetens, Paul; Vandermeulen, Dirk; Pa, van den Elsen; Napel, Sandy; Ts, Sumanaweera; Harkness, Beth A.; Pf, Hemler; Hill, D. V.; Hawkes, DJ; Studholme, Colin; Jb, Maintz; Ma, Viergever; Malandain, Grégoire; Rp, Woods

doi:10.1097/00004728-199707000-00007

Cited by 811 publications

(526 citation statements)

References 21 publications

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“…It is possible to perform phantom studies to get closer to the ground truth, as in Korsager et al (14) Other studies that have compared registrations in brain imaging (e.g. West et al (22) ) have used landmarks defined on implanted fiducial markers after registrations to calculate the difference in transformations (fiducial registration error), and Sarkar et al (23) used manually defined anatomical landmarks. Studies performing MR‐CT registration often define the manual registration as the ground truth and then validate the accuracy of the alternative method based on the differences from the manual registration (11) .…”

Section: Discussionmentioning

confidence: 99%

“…Comparison of image registration approaches have previously been performed in a number of studies 22 , 23 , 24 , 25 , 26 . West et al (22) established a ground‐truth registration using a manual landmark‐based registration, which can be used for comparison of new approaches for brain registration.…”

Section: Introductionmentioning

confidence: 99%

“…West et al (22) established a ground‐truth registration using a manual landmark‐based registration, which can be used for comparison of new approaches for brain registration. Volume overlap measures in form of Jaccard index or Dice similarity coefficient (DSC) 24 , 25 , 26 and distance measures in form of Hausdorff distance and mean surface distance 25 , 26 have been used to compare registration methods.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of manual and automatic MR‐CT registration for radiotherapy of prostate cancer

Korsager

Carl

Østergaard

2016

J Applied Clin Med Phys

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In image‐guided radiotherapy (IGRT) of prostate cancer, delineation of the clinical target volume (CTV) often relies on magnetic resonance (MR) because of its good soft‐tissue visualization. Registration of MR and computed tomography (CT) is required in order to add this accurate delineation to the dose planning CT. An automatic approach for local MR‐CT registration of the prostate has previously been developed using a voxel property‐based registration as an alternative to a manual landmark‐based registration. The aim of this study is to compare the two registration approaches and to investigate the clinical potential for replacing the manual registration with the automatic registration. Registrations and analysis were performed for 30 prostate cancer patients treated with IGRT using a Ni‐Ti prostate stent as a fiducial marker. The comparison included computing translational and rotational differences between the approaches, visual inspection, and computing the overlap of the CTV. The computed mean translational difference was 1.65, 1.60, and 1.80 mm and the computed mean rotational difference was 1.51°, 3.93°, and 2.09° in the superior/inferior, anterior/posterior, and medial/lateral direction, respectively. The sensitivity of overlap was 87%. The results demonstrate that the automatic registration approach performs registrations comparable to the manual registration.PACS number(s): 87.57.nj, 87.61.‐c, 87.57.Q‐, 87.56.J‐

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparison of manual and automatic MR‐CT registration for radiotherapy of prostate cancer

Korsager

Carl

Østergaard

2016

J Applied Clin Med Phys

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“…Comparisons of the quality of registration with the bone mode with other techniques have been provided by several investigators. ( 16 , 17 ) The “grey value mode” performs the auto‐registration by matching voxel grey‐scale intensity values throughout the entire interested image volume, which is well known as the “cross‐correlation” technique. ( 18 ) In addition to the edge information, soft tissue information has also been included in the grey‐value algorithm and would potentially average out the registration error caused by anatomy variance between the two image sets.…”

Section: Methodsmentioning

confidence: 99%

A comprehensive study on decreasing the kilovoltage cone‐beam CT dose by reducing the projection number

Lü

Palta

2010

J Applied Clin Med Phys

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The objective of this study was to evaluate the effect of kilovoltage cone‐beam computed tomography (CBCT) on registration accuracy and image qualities with a reduced number of planar projections used in volumetric imaging reconstruction. The ultimate goal is to evaluate the possibility of reducing the patient dose while maintaining registration accuracy under different projection‐number schemes for various clinical sites. An Elekta Synergy Linear accelerator with an onboard CBCT system was used in this study. The quality of the Elekta XVI cone‐beam three‐dimensional volumetric images reconstructed with a decreasing number of projections was quantitatively evaluated by a Catphan phantom. Subsequently, we tested the registration accuracy of imaging data sets on three rigid anthropomorphic phantoms and three real patient sites under the reduced projection‐number (as low as 1/6th) reconstruction of CBCT data with different rectilinear shifts and rotations. CBCT scan results of the Catphan phantom indicated the CBCT images got noisier when the number of projections was reduced, but their spatial resolution and uniformity were hardly affected. The maximum registration errors under the small amount transformation of the reference CT images were found to be within 0.7 mm translation and 0.3° rotation. However, when the projection number was lower than one‐fourth of the full set with a large amount of transformation of reference CT images, the registration could easily be trapped into local minima solutions for a nonrigid anatomy. We concluded, by using projection‐number reduction strategy under conscientious care, imaging‐guided localization procedure could achieve a lower patient dose without losing the registration accuracy for various clinical sites and situations. A faster scanning time is the main advantage compared to the mA decrease‐based, dose‐reduction method.PACS numbers: 87.57.C‐, 87.57.cf, 87.57.cj, 87.57.cm, 87.57.cp, 87.57.N‐, 87.57.nf, 87.57.nj

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“…Hence, the registration problem reduces to shifting pixels such that the NMI between the resulting images is maximised. This approach is thus capable of dealing with signal intensity differences, and furthermore has been shown to accurately and robustly align images from different modalities where variable signal intensities may be expected [17]. It has been used in several DCE studies to good effect, including studies in the breast [18][19][20], lung [21], kidney [22], liver [23] and prostate [24].…”

Section: Introductionmentioning

confidence: 99%

The utility of deformable image registration for small artery visualisation in contrast-enhanced whole body MR angiography

Foley

Browne²,

Zhuang

et al. 2014

Physica Medica

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Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques

Abstract: Our results indicate that retrospective techniques have the potential to produce satisfactory results much of the time, but that visual inspection is necessary to guard against large errors.

Cited by 811 publications

References 21 publications

Comparison of manual and automatic MR‐CT registration for radiotherapy of prostate cancer

Comparison of manual and automatic MR‐CT registration for radiotherapy of prostate cancer

A comprehensive study on decreasing the kilovoltage cone‐beam CT dose by reducing the projection number

The utility of deformable image registration for small artery visualisation in contrast-enhanced whole body MR angiography

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