Dataset Information

Accurate MR Image Registration to Anatomical Reference Space for Diffuse Glioma.

ABSTRACT: To summarize the distribution of glioma location within a patient population, registration of individual MR images to anatomical reference space is required. In this study, we quantified the accuracy of MR image registration to anatomical reference space with linear and non-linear transformations using estimated tumor targets of glioblastoma and lower-grade glioma, and anatomical landmarks at pre- and post-operative time-points using six commonly used registration packages (FSL, SPM5, DARTEL, ANTs, Elastix, and NiftyReg). Routine clinical pre- and post-operative, post-contrast T1-weighted images of 20 patients with glioblastoma and 20 with lower-grade glioma were collected. The 2009a Montreal Neurological Institute brain template was used as anatomical reference space. Tumors were manually segmented in the patient space and corresponding healthy tissue was delineated as a target volume in the anatomical reference space. Accuracy of the tumor alignment was quantified using the Dice score and the Hausdorff distance. To measure the accuracy of general brain alignment, anatomical landmarks were placed in patient and in anatomical reference space, and the landmark distance after registration was quantified. Lower-grade gliomas were registered more accurately than glioblastoma. Registration accuracy for pre- and post-operative MR images did not differ. SPM5 and DARTEL registered tumors most accurate, and FSL least accurate. Non-linear transformations resulted in more accurate general brain alignment than linear transformations, but tumor alignment was similar between linear and non-linear transformation. We conclude that linear transformation suffices to summarize glioma locations in anatomical reference space.

SUBMITTER: Visser M

PROVIDER: S-EPMC7290158 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Accurate MR Image Registration to Anatomical Reference Space for Diffuse Glioma.

Visser Martin M Petr Jan J Müller Domenique M J DMJ Eijgelaar Roelant S RS Hendriks Eef J EJ Witte Marnix M Barkhof Frederik F van Herk Marcel M Mutsaerts Henk J M M HJMM Vrenken Hugo H de Munck Jan C JC De Witt Hamer Philip C PC

Frontiers in neuroscience 20200605

To summarize the distribution of glioma location within a patient population, registration of individual MR images to anatomical reference space is required. In this study, we quantified the accuracy of MR image registration to anatomical reference space with linear and non-linear transformations using estimated tumor targets of glioblastoma and lower-grade glioma, and anatomical landmarks at pre- and post-operative time-points using six commonly used registration packages (FSL, SPM5, DARTEL, AN ...[more]

PMID: 32581699

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Project description:Accurate regional brain quantitative PET measurements, particularly when using partial volume correction, rely on robust image registration between PET and MR images. We argue here that the precision, and hence the uncertainty, of MR-PET image registration is mainly driven by the registration implementation and the quality of PET images due to their lower resolution and higher noise compared to the structural MR images. We propose a dedicated uncertainty analysis for quantifying the precision of MR-PET registration, centred around the bootstrap resampling of PET list-mode events to generate multiple PET image realisations with different noise (count) levels. The effects of PET image reconstruction parameters, such as the use of attenuation and scatter corrections and different number of iterations, on the precision and accuracy of MR-PET registration were investigated. In addition, the performance of four software packages with their default settings for rigid inter-modality image registration were considered: NiftyReg, Vinci, FSL and SPM. Four distinct PET image distributions made of two early time frames (similar to cortical FDG) and two late frames using two amyloid PET dynamic acquisitions of one amyloid positive and one amyloid negative participants were investigated. For the investigated four PET frames, the biggest impact on the uncertainty was observed between registration software packages (up to 10-fold difference in precision) followed by the reconstruction parameters. On average, the lowest uncertainty for different PET frames and brain regions was observed with SPM and two iterations of fully quantitative image reconstruction. The observed uncertainty for the varying PET count-level (from 5% to 60%) was slightly lower than for the reconstruction parameters. We also observed that the registration uncertainty in quantitative PET analysis depends on amyloid status of the considered PET frames, with increased uncertainty (up to three times) when using post-reconstruction partial volume correction. This analysis is applicable for PET data obtained from either PET/MR or PET/CT scanners.

Project description:The purpose of this study is to find the uncertainties in the reconstruction of MR compatible ring-tandem intracavitary applicators of high-dose rate image-based brachytherapy treatment planning using rigid registration of 3D MR and CT image fusion. Tandem and ring reconstruction in MR image based brachytherapy planning was done using rigid registration of CT and MR applicator geometries. Verifications of registration for applicator fusion were performed in six verification steps at three different sites of tandem ring applicator set. The first site consists of three errors at the level of ring plane in (1) cranio caudal shift (Cranial Shift) of ring plane along tandem axis, (2) antero-posterior shift (AP Shift) perpendicular to tandem axis on the plane containing the tandem, and (3) lateral shift (Lat Shift) perpendicular to the plane containing the tandem at the level of ring plane. The other two sites are the verifications at the tip of tandem and neck of the ring. The verification at the tip of tandem consists of two errors in (1) antero-posterior shift (AP Shift) perpendicular to tandem axis on the plane containing the tandem, and (2) lateral shift (Lat Shift) perpendicular to the plane containing the tandem. The third site of verification at the neck of the ring is the error due to the rotation of ring about tandem axis. The impact of translational errors from -5 mm to 5 mm in the step of 1 mm along x-, y-, and z-axis and three rotational errors about these axes from -19.1° to 19.1° in the step of 3.28° on dose-volume histogram parameters (D(2cc), D(1cc), D(0.1cc), and D(5cc) of bladder, rectum, and sigmoid, and D90 and D98 of HRCTV were also analyzed. Maximum registration errors along cranio-caudal direction was 2.2 mm (1 case), whereas the errors of 31 out of 34 cases of registration were found within 1.5 mm, and those of two cases were less than 2mm but greater than 1.5 mm. Maximum rotational error of ring about tandem axis was 3.15° (1.1 mm). In other direction and different sites of the ring applicator set, the errors were within 1.5 mm. The impacts of registration errors on DVH parameters of bladder, rectum, and sigmoid were very sensitive to antero-posterior shift. Cranio-caudal errors of registration also largely affected the rectum DVH parameters. Largest change of 17.95% per mm and 20.65% per mm in all the DVH parameters of all OARs and HRCTV were observed for ? and ? rotational errors as compare to other translational and rotational errors. Catheter reconstruction in MR image using rigid registration of applicator geometries of CT and MR images is a feasible technique for MR image-based intracavitary brachytherapy planning. The applicator regis-tration using the contours of tandem and neck of the ring of CT and MR images decreased the rotational error about tandem axis. Verification of CT MR image fusion using applicator registration which consists of six steps of verification at three different sites in ring applicator set can report all the errors due to translation and rotational shift along ?, ?, and ?. ? and ? rotational errors, which produced potential changes in DVH parameters, can be tackled using AP Shift and Lat Shift at the tip of tandem. The maximum shift was still found along the tandem axis in this technique.

Project description:Abstract PURPOSE: To correlate MR imaging findings with molecular analyses in DIPG. METHODS: Baseline MR imaging studies, including standard pre- and post-contrast MR sequences, were reviewed from patients included in our multi-institutional, IRB-approved DIPG trial NCT01182350. Prospectively acquired imaging data were analyzed after study closure, including FLAIR/T2 tumor volume; tumor volume enhancement and cyst/necrosis; median, mean, mode, skewness, and kurtosis of apparent diffusion coefficient (ADC) tumor volume based on both FLAIR and enhancement at baseline. Whole-genome and RNA-sequencing identified histone mutations. We applied univariate Cox proportional-hazards regression modeling to test the association of imaging predictors with overall (OS) and progression-free survival (PFS). Wilcoxon rank-sum, Kruskal-Wallis, and Fisher’s exact tests compared imaging measures between groups. RESULTS: Fifty patients underwent biopsy and MRI. Median age at trial registration was 6 years (range,3.3–17.5 years); 52% of patients were female. Molecular subgroup study assignments for 48 patients’ tumors were as follows: 28 in MGMT-/EGFR-, 14 in MGMT-/EGFR+, 3 in MGMT+/EGFR-, and 3 in MGMT+/EGFR+. Further genetic testing identified mutations in histones, PDGFRA, ACVR1, TP53, EGFR, PPM1D, FGFR, and/or PI3K. Twenty-three tumors possessed histone mutations in H3F3A, 8 in HIST1H3B, and 3 in HISTH3C. Median follow-up time was 11 months (range,0.4–33 months). Poorer OS (p=0.01) and PFS (p=0.001) were significantly associated with increased enhancing tumor volume. Enhancing tumor volume also differed significantly across molecular subgroups (p=0.047). Tumor enhancement, mode, skewness, and kurtosis ADC-FLAIR differed significantly (p?0.048) between patients with H3F3A and HIST1H3B mutations. Tumor enhancement, median, mode, skewness, and kurtosis ADC-FLAIR also differed significantly (p?0.048) between patients with H3F3A and HIST1H3B or HISTH3C mutations. CONCLUSIONS: MR imaging features including enhancement and ADC histogram parameters correlate to molecular subgroups in DIPG. Further studies are required to verify and refine these findings in a larger cohort.

Dataset Information

Accurate MR Image Registration to Anatomical Reference Space for Diffuse Glioma.

Publications

Accurate MR Image Registration to Anatomical Reference Space for Diffuse Glioma.

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