Elastic registration of prostate MR images based on estimation of deformation states

Marami, Bahram; Sirouspour, Shahin; Ghoul, Suha; Cepek, Jeremy; Davidson, Sean M.; Capson, David W.; Trachtenberg, John; Fenster, Aaron

doi:10.1016/j.media.2014.12.007

Cited by 14 publications

(6 citation statements)

References 38 publications

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“…PET–US [ 63 ], MRI–US [ 64 ], MRI–SPECT [ 65 ], and MRI–CT [ 66 ]) and intra-modality fusion techniques (e.g. US–US [ 67 ], CT–CT [ 68 ], and MRI–MRI [ 69 ]). Although fundamentally these algorithms can be extended for registration of imaging and histology, they are usually optimized for in vivo registration and do not have to cope with the large deformations typical for ex vivo specimens.…”

Section: Discussionmentioning

confidence: 99%

Accurate validation of ultrasound imaging of prostate cancer: a review of challenges in registration of imaging and histopathology

et al. 2018

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As the development of modalities for prostate cancer (PCa) imaging advances, the challenge of accurate registration between images and histopathologic ground truth becomes more pressing. Localization of PCa, rather than detection, requires a pixel-to-pixel validation of imaging based on histopathology after radical prostatectomy. Such a registration procedure is challenging for ultrasound modalities; not only the deformations of the prostate after resection have to be taken into account, but also the deformation due to the employed transrectal probe and the mismatch in orientation between imaging planes and pathology slices. In this work, we review the latest techniques to facilitate accurate validation of PCa localization in ultrasound imaging studies and extrapolate a general strategy for implementation of a registration procedure.

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Section: Discussionmentioning

confidence: 99%

Accurate validation of ultrasound imaging of prostate cancer: a review of challenges in registration of imaging and histopathology

et al. 2018

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“…The locations of ray intersections depended strongly on the previous linear step. In addition, the nonlinear TPS surface registration used for this study did not take into account the biomechanical properties of the prostate, which would have required a much more complex model . As a surface registration algorithm, TPS may incorrectly register the interior of the prostate, especially without modeling the tissue properties.…”

Section: Discussionmentioning

confidence: 99%

“…In addition, the nonlinear TPS surface registration used for this study did not take into account the biomechanical properties of the prostate, which would have required a much more complex model. 36,37,38,39 As a surface registration algorithm, TPS may incorrectly register the interior of the prostate, especially without modeling the tissue properties. The majority of tumors was near the prostate boundary, so this potential source of error will be less severe, but this effect will be more severe for those tumors near the center.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of tumor coverage after MR‐guided prostate focal laser ablation therapy

et al. 2018

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Purpose Prostate cancer is the most common noncutaneous cancer among men in the USA. Focal laser thermal ablation (FLA) has the potential to control small tumors while preserving urinary and erectile function by leaving the neurovascular bundles and urethral sphincters intact. Accurate needle guidance is critical to the success of FLA. Multiparametric magnetic resonance images (mpMRI) can be used to identify targets, guide needles, and assess treatment outcomes. In this study, we evaluated the location of ablation zones relative to targeted lesions in 23 patients who underwent FLA therapy in a phase II trial. The ablation zone margins and unablated tumor volume were measured to determine whether complete coverage of each tumor was achieved, which would be considered a clinically successful ablation. Methods Preoperative mpMRI was acquired for each patient 2–3 months preceding the procedure and the prostate and lesion(s) were manually contoured on 3 T T2‐weighted axial images. The prostate and ablation zone(s) were also manually contoured on postablation 1.5 T T1‐weighted contrast‐enhanced axial images acquired immediately after the procedure intraoperatively. The lesion surface was nonrigidly registered to the postablation image using an initial affine registration followed by nonrigid thin‐plate spline registration of the prostate surfaces. The margins between the registered lesion and ablation zone were calculated using a uniform spherical distribution of rays, and the volume of intersection was also calculated. Each prostate was contoured five times to determine the segmentation variability and its effect on intersection of the lesion and ablation zone. Results Our study showed that the boundaries of the segmented tumor and ablation zone were close. Of the 23 lesions that were analyzed, 11 were completely covered by the ablation zone and 12 were partially covered. A shift of 1.0, 2.0, and 2.6 mm would result in 19, 21, and all tumors completely covered by the ablation zone, respectively. The median unablated tumor volume across all tumors was 0.1 mm3 with an IQR of 3.7 mm3, which was 0.2% of the median tumor volume (46.5 mm3 with an IQR of 46.3 mm3). The median extension of the tumors beyond the ablation zone, in cases which were partially ablated, was 0.9 mm (IQR of 1.3 mm), with the furthest tumor extending 2.6 mm. Conclusion In all cases, the boundary of the tumor was close to the boundary of the ablation zone, and in some cases, the boundary of the ablation zone did not completely enclose the tumor. Our results suggest that some of the ablations were not clinically successful and that there is a need for more accurate needle tracking and guidance methods. Limitations of the study include errors in the registration and segmentation methods used as well as different voxel sizes and contrast between the registered T2 and T1 MRI sequences and asymmetric swelling of the prostate postprocedurally.

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“…The elastic registration algorithm is a specific type of imaging registration method designed to determine the transformation necessary to align a source image with a target image. This is particularly useful for images taken at different time points or stages of the same time, as the algorithm can automate and quantify the differences between the two images [ 4 , 5 ]. Recently, the elastic registration algorithm has been paid attention to assessing lung deformation in acute lung injury [ 6 ], chronic obstructive pulmonary disease [ 7 , 8 ], and asthmatic [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Assessment of lung deformation in patients with idiopathic pulmonary fibrosis with elastic registration technique on pulmonary three-dimensional ultrashort echo time MRI

Yang,

Yu,

Sun

et al. 2024

Insights Imaging

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Objective To assess lung deformation in patients with idiopathic pulmonary fibrosis (IPF) using with elastic registration algorithm applied to three-dimensional ultrashort echo time (3D-UTE) MRI and analyze relationship of lung deformation with the severity of IPF. Methods Seventy-six patients with IPF (mean age: 62 ± 6 years) and 62 age- and gender-matched healthy controls (mean age: 58 ± 4 years) were prospectively enrolled. End-inspiration and end-expiration images acquired with a single breath-hold 3D-UTE sequence were registered using elastic registration algorithm. Jacobian determinants were calculated from deformation fields and represented on color maps. Jac-mean (absolute value of the log means of Jacobian determinants) and the Dice similarity coefficient (Dice) were compared between different groups. Results Compared with healthy controls, the Jac-mean of IPF patients significantly decreased (0.21 ± 0.08 vs. 0.27 ± 0. 07, p < 0.001). Furthermore, the Jac-mean and Dice correlated with the metrics of pulmonary function tests and the composite physiological index. The lung deformation in IPF patients with dyspnea Medical Research Council (MRC) ≥ 3 (Jac-mean: 0.16 ± 0.03; Dice: 0.06 ± 0.02) was significantly lower than MRC1 (Jac-mean: 0. 25 ± 0.03, p < 0.001; Dice: 0.10 ± 0.01, p < 0.001) and MRC 2 (Jac-mean: 0.22 ± 0.11, p = 0.001; Dice: 0.08 ± 0.03, p = 0.006). Meanwhile, Jac-mean and Dice correlated with health-related quality of life, 6 min-walk distance, and the extent of pulmonary fibrosis. Jac-mean correlated with pulmonary vascular-related indexes on high-resolution CT. Conclusion The decreased lung deformation in IPF patients correlated with the clinical severity of IPF patients. Elastic registration of inspiratory-to-expiratory 3D UTE MRI may be a new morphological and functional marker for non-radiation and noninvasive evaluation of IPF. Critical relevance statement This prospective study demonstrated that lung deformation decreased in idiopathic pulmonary fibrosis (IPF) patients and correlated with the severity of IPF. Elastic registration of inspiratory-to-expiratory three-dimensional ultrashort echo time (3D UTE) MRI may be a new morphological and functional marker for non-radiation and noninvasive evaluation of IPF. Key points • Elastic registration of inspiratory-to-expiratory three-dimensional ultrashort echo time (3D UTE) MRI could evaluate lung deformation. • Lung deformation significantly decreased in idiopathic pulmonary fibrosis (IPF) patients, compared with the healthy controls. • Reduced lung deformation of IPF patients correlated with worsened pulmonary function and the composite physiological index (CPI). Graphical Abstract

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Elastic registration of prostate MR images based on estimation of deformation states

Cited by 14 publications

References 38 publications

Accurate validation of ultrasound imaging of prostate cancer: a review of challenges in registration of imaging and histopathology

Accurate validation of ultrasound imaging of prostate cancer: a review of challenges in registration of imaging and histopathology

Evaluation of tumor coverage after MR‐guided prostate focal laser ablation therapy

Assessment of lung deformation in patients with idiopathic pulmonary fibrosis with elastic registration technique on pulmonary three-dimensional ultrashort echo time MRI

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