Bladder wall thickness mapping for magnetic resonance cystography

Zhao, Yang; Zhang, Liang; Zhu, Huajian; Han, Hongbin; Duan, Chaijie; Yan, Zengmin; Lu, Hongbing; Gu, Xianfeng

doi:10.1088/0031-9155/58/15/5173

Cited by 10 publications

(5 citation statements)

References 27 publications

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“…In another study by Bains et al (2010), they used dynamic contrast enhanced (DCE) MRI and tracer kinetic analysis to study the magnitude of water exchange effects in bladder cancer patients 8 . MRI has also been used to study bladder wall dynamics, such as thickness 12 and contours 13 . The method has superior image resolution (100–200 µm in-plane resolution on high field MRI systems, and >300 µm resolution for clinical MRI systems), and MRI is wide available clinically.…”

Section: Introductionmentioning

confidence: 99%

Contrast Enhanced Magnetic Resonance Imaging as a Diagnostic Tool to Assess Bladder Permeability and Associated Colon Cross Talk: Preclinical Studies in a Rat Model

et al. 2015

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Purpose Interstitial cystitis/painful bladder syndrome (IC/PBS) is a devastating disease that is associated with multiple symptoms, and is usually diagnosed on the basis of pain, urgency and frequency in the absence of other known causes. To date there is no diagnostic test. Methods In vivo diagnostic contrast-enhanced magnetic resonance imaging (CE-MRI) was used, involving intravesical administration of Gd-DTPA (gadolinium diethylene triamine penta acetic acid) contrast via a catheter, for visualization of increased permeability of the bladder urothelium, and i.v. administration of Gd-DTPA was used to visualize secondary tissue effects to the colon, in a rat model undergoing intravesical exposure to protamine sulfate (PS). Results Both bladder urothelilium and colonic mucosa were assessed 24 hours following bladder PS exposure. Enhanced contrast MR images were able to establish bladder urothelium leakage of Gd-DTPA (399.7±68.7 % change in MRI signal intensity (SI) for PS-exposed rats, compared to 39.2±12.2 for controls; p<0.0001), and colonic-related uptake in contrast agent (65.2±17.1 % for PS-exposed rats, compared to 20.8±9.8 for controls; p<0.01) following bladder PS exposure. Kinetics of Gd-DTPA uptake and excretion were also obtained over 20 min in the bladder, and over 30 min in the colon, indicating increased signal intensities at 7 and 12 min, respectively. Conclusions These preliminary studies indicate that CE-MRI is capable of monitoring primary bladder urothelium loss of impermeability and secondary enhanced contrast in colon mucosa. This method can be considered a potential clinical diagnostic method for IC/PBS that involves loss of the permeability barrier, and assessing visceral organ cross-talk.

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Section: Introductionmentioning

confidence: 99%

Contrast Enhanced Magnetic Resonance Imaging as a Diagnostic Tool to Assess Bladder Permeability and Associated Colon Cross Talk: Preclinical Studies in a Rat Model

et al. 2015

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“…Based on the segmented inner and outer borders of the colon wall, we employed the Laplacian method 21 to estimate the point-to-point distance between two iso-potential smooth surfaces. For any given position on one surface, there is always a unique path starting at that position and ending on the other surface.…”

Section: Colon Wall Thickness Mapping and Ipc Detectionmentioning

confidence: 99%

Detection of colonic polyp candidates with level set-based thickness mapping over the colon wall

Han

Duan

et al. 2015

SPIE Proceedings

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Further improvement of computer-aided detection (CADe) of colonic polyps is vital to advance computed tomographic colonography (CTC) toward a screening modality, where the detection of flat polyps is especially challenging because limited image features can be extracted from flat polyps, and the traditional geometric features-based CADe methods usually fail to detect such polyps. In this paper, we present a novel pipeline to automatically detect initial polyp candidates (IPCs), especially flat polyps, from CTC images. First, the colon wall mucosa was extracted via a partial volume segmentation approach as a volumetric layer, where the inner border of colon wall can be obtained by shrinking the volumetric layer using level set based adaptive convolution. Then the outer border of colon wall (or the colon wall serosa) was segmented via a combined implementation of geodesic active contour and Mumford-Shah functional in a coarse-to-fine manner. Finally, the wall thickness was estimated along a unique path between the segmented inner and outer borders with consideration of the volumetric layers and was mapped onto a patient-specific three-dimensional (3D) colon wall model. The IPC detection results can usually be better visualized in a 2D image flattened from the 3D model, where abnormalities were detected by Z-score transformation of the thickness values. The proposed IPC detection approach was validated on 11 patients with 22 CTC scans, and each scan has at least one flat poly annotation. The above presented novel pipeline was effective to detect some flat polyps that were missed by our CADe system while keeping false detections in a relative low level. This preliminary study indicates that the presented pipeline can be incorporated into an existing CADe system to enhance the polyp detection power, especially for flat polyps.

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“…Following a good definition of the bladder wall, accurate segmentation of the inner and outer wall borders is another critical task to establish a precise three-dimensional (3D) model of the bladder for evaluation of the entire bladder by experts or radiologists [7]–[9]. Because normal thickness of the bladder wall is around 3 mm [10], abnormal wall thickness is generally recognized as a biomarker of potential lesions [10]–[12]. …”

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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Bladder wall thickness mapping for magnetic resonance cystography

Cited by 10 publications

References 27 publications

Contrast Enhanced Magnetic Resonance Imaging as a Diagnostic Tool to Assess Bladder Permeability and Associated Colon Cross Talk: Preclinical Studies in a Rat Model

Contrast Enhanced Magnetic Resonance Imaging as a Diagnostic Tool to Assess Bladder Permeability and Associated Colon Cross Talk: Preclinical Studies in a Rat Model

Detection of colonic polyp candidates with level set-based thickness mapping over the colon wall

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

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