MR cystography for bladder tumor detection

Beer, Ambros J.; Saar, Bettina; Zantl, Niko; Link, Thomas M.; Roggel, Rudolf; Hwang, S.-L.; Schwaibold, Hartwig; Rummeny, Ernst J.

doi:10.1007/s00330-004-2451-9

Cited by 30 publications

(12 citation statements)

References 25 publications

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“…In recent years, virtual cystoscopy (VCys) has been developed and suggested to be a promising potential alternative. It mimics the navigation environment of OCys by virtually reconstructing the whole bladder in three-dimensional (3D) space [9]-[13]. …”

Section: Introductionmentioning

confidence: 99%

Motion Correction for MR Cystography by an Image Processing Approach

Lin

Zhang

Duan

et al. 2013

IEEE Trans. Biomed. Eng.

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Magnetic resonance (MR) cystography or MR-based virtual cystoscopy is a promising new technology to evaluate the entire bladder in a fully non-invasive manner. It requires the anatomical bladder images be acquired at high spatial resolution and with adequate signal-to-noise ratio (SNR). This often leads to a long-time scan (> 5 minutes) and results in image artifacts due to involuntary bladder motion and deformation. In this paper, we investigated an image-processing approach to mitigate the problem of motion and deformation. Instead of a traditional single long-time scan, six repeated short-time scans (each of approximately 1 minute) were acquired for the purpose of shifting bladder motion from intra-scan into inter-scans. Then the inter-scan motions were addressed by registering the short-time scans to a selected reference and finally forming a single average motion-corrected image. To evaluate the presented approach, three types of images were generated: (1) the motion-corrected image by registration and average of the short-time scans; (2) the directly-averaged image of the short-time scans (without motion correction); and (3) the single image of the corresponding long-time scan. Six experts were asked to blindly score these images in terms of two important aspects: (i) the definition of the bladder wall and (ii) the overall expression on the image quality. Statistical analysis on the scores suggested that the best result in both the aspects is achieved by the presented motion-corrected average. Furthermore the superiority of the motion-corrected average over the other two is statistically significant by the measure of a linear mixed-effect model with p-values<0.05. Our findings may facilitate the detection of bladder abnormality in MR cystography by mitigating the motion challenge. The effectiveness of this approach depends on the noise level of acquired short-time scans and the robustness of image registration and future effort on these two aspects is needed.

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Section: Introductionmentioning

confidence: 99%

Motion Correction for MR Cystography by an Image Processing Approach

Lin

Zhang

Duan

et al. 2013

IEEE Trans. Biomed. Eng.

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“…Most previous MR cystography studies [3], [7], [9-11] found that T 1 –/T 2 – rather than PD–weighted scanning protocol is in favored for assessing the anatomical structures or pathologies in the urinary bladder. Compared with T 2 –weighed MR imaging, T 1 –weighted imaging enhances the desired signals or the bladder wall by lowering the lumen intensity as shown in Fig.…”

Section: Methodsmentioning

confidence: 99%

“…Magnetic resonance (MR) cystography is a very promising, completely non-invasive procedure for detection and management of bladder lesions [3]–[5]. Since carcinoma tumors at early stages of penetration can be as small as less than 5mm [6], images with high spatial resolution and sufficient signal–to–noise ratio (SNR) are required to present the bladder wall, where bladder lesions reside.…”

Section: Introductionmentioning

confidence: 99%

α-Information-Based Registration of Dynamic Scans for Magnetic Resonance Cystography

Han

Lin²,

et al. 2016

IEEE J. Biomed. Health Inform.

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To continue our effort on developing magnetic resonance (MR) cystography, we introduce a novel non–rigid 3D registration method to compensate for bladder wall motion and deformation in dynamic MR scans, which are impaired by relatively low signal–to–noise ratio in each time frame. The registration method is developed on the similarity measure of α–information, which has the potential of achieving higher registration accuracy than the commonly-used mutual information (MI) measure for either mono-modality or multi-modality image registration. The α–information metric was also demonstrated to be superior to both the mean squares and the cross-correlation metrics in multi-modality scenarios. The proposed α–registration method was applied for bladder motion compensation via real patient studies, and its effect to the automatic and accurate segmentation of bladder wall was also evaluated. Compared with the prevailing MI-based image registration approach, the presented α–information based registration was more effective to capture the bladder wall motion and deformation, which ensured the success of the following bladder wall segmentation to achieve the goal of evaluating the entire bladder wall for detection and diagnosis of abnormality.

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“…Lammle et al [29] reported detection rates of 90.9% and 100% for all tumors and for tumors greater than 1cm, respectively in 24 BCa patients. Beer et al [30] reported sensitivity and specificity of 91% for MRC in 32 patients with 43 lesions. MRC has several advantages over conventional cystoscopy such as being relatively impervious to hematuria, urethral strictures and anterior bladder wall lesions (which can be difficult to reach via cystoscopy), however, its limitations include a time consuming costly procedure requiring expertise which has difficulty detecting of flat lesions.…”

Section: Mrimentioning

confidence: 99%

PET/CT and MRI in Bladder Cancer

Bouchelouche

Türkbey²,

Choyke³

2012

JCST

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Bladder Cancer (BCa) is the most common malignancy arising from the urinary tract. One of the mainstays of diagnosis, staging, and therapeutic decision-making for BCa is accurate and appropriate imaging. The ability to identify metastatic disease preoperatively is of utmost importance in determining treatment. Advances in standard cross sectional imaging techniques like Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) have improved imaging of bladder cancer. Over the last decade, 18F-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) in combination with CT (18F-FDG PET/CT) has become an important non-invasive imaging modality for the preoperative staging of various malignancies. 18F-FDG PET/CT is useful for detection of metastatic disease in BCa, but the ability to detect primary bladder wall lesions remains to be elucidated. To overcome the problem with urinary excretion of 18F-FDG, new PET tracers are being tested. MRI is an accurate technique for the local staging of BCa due to its superior spatial and contrast resolution. Anatomical MRI has a modest utility in NM-staging of BCa. However, incorporation of functional MR techniques, such as diffusion weighted MRI can improve the results for lesion detection and staging and multi-parametric MRI`s role is yet to be explored widely. The aim of this review is to present the recent advances in PET/CT and MRI in BCa, with particular focus on improvements in staging.

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MR cystography for bladder tumor detection

Cited by 30 publications

References 25 publications

Motion Correction for MR Cystography by an Image Processing Approach

Motion Correction for MR Cystography by an Image Processing Approach

α-Information-Based Registration of Dynamic Scans for Magnetic Resonance Cystography

PET/CT and MRI in Bladder Cancer

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