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A level set based algorithm to reconstruct the urinary bladder from multiple views
Zhen Ma; Renato Natal Jorge; T. Mascarenhas; João Manuel R. S. TavaresThe urinary bladder can be visualized from different views by imaging facilities such as Computerized Tomography and Magnetic Resonance Imaging. Multi-view imaging can present more details of this pelvic organ and contribute to a more reliable reconstruction. Based on the information from multi-view planes, a level set based algorithm is proposed to reconstruct the 3D shape of the bladder using the cross-sectio...
Segmentation of Female Pelvic Cavity in Axial T2-weighted MR Images towards the...
Zhen Ma; Renato Natal M. Jorge; T. Mascarenhas; João Manuel R. S.TavaresThe anatomies of pelvic structures are critical for the diagnosis of pelvic floor dysfunctions. However, because of the complex background, the imaging appearances of pelvic organs and muscles are frequently distorted by noise and partial volume effect. Magnetic resonance imaging with its clear imaging quality of the female pelvic cavity is preferred for many studies. As such, correct segmentations of the pelvi...
An Approach on Determining the Displacements of the Pelvic Floor during Volunta...
C.S. Saleme; M.P.L. Parente; R.M. Natal Jorge; M. Pinotti; A.L. Silva-Filho; T. Roza; T. Mascarenhas; João Manuel R.S. TavaresThe present study was conducted in order to establish a methodology based on the finite element method to simulate the contraction of the pelvic floor (PF) muscles. In the generated finite element model, a downward pressure of 90 cm H2O was applied, while actively contracting the PF muscles with different degrees of muscular activation (10, 50 and 100%). The finite element methodology of the active contraction ...
Segmentation of Magnetic Resonance Images from Female Pelvic Cavity
Zhen Ma; Renato Natal M. Jorge; T. Mascarenhas; João Manuel R. S. TavaresMagnetic resonance imaging is currently one imaging modality for studying pelvic floor dysfunctions. In order to perform biomechanical analysis, the geometrical models of the concerned structures are needed, which implies that these structures should be segmented in the acquired image series. However, the appearances of the organs and muscles of female pelvic cavity can be easily distorted in the images by nois...
Novel Approach to Segment the Inner and Outer Boundaries of the Bladder Wall in...
Zhen Ma; Renato Natal Jorge; T. Mascarenhas; João Manuel R. S. TavaresDiagnosis of bladder-related conditions needs critical measurements which require the segmentation of the inner and outer boundaries of the bladder wall. In T2-weighted MR images, the low-signal-intensity bladder wall can be identified due to the large contrast with the high-signal-intensity urine and perivesical fat. In this paper, two deformable models are proposed to segment the bladder wall. Based on the im...
A Review of Algorithms for Medical Image Segmentation and their Applications to...
Zhen Ma; João Manuel R. S.Tavares; Renato Natal Jorge; T. MascarenhasThis paper aims to make a review on the current segmentation algorithms used for medical images. Algorithms are classified according to their principal methodologies, namely the ones based on thresholds, the ones based on clustering techniques and the ones based on deformable models. The last type is focused due to the intensive investigations on the deformable models that have been done in the last few decades...
Geometric analysis of female pelvic floor muscles by using manual segmentation
T.H. Da Roza; Renato Manuel Natal Jorge; Marco Paulo Lages Parente; João Manuel Ribeiro da Silva Tavares; C. Saleme; M.P. Barbosa; A.L.S. FilhoMagnetic Resonance Imaging (MRI) has been used in the diagnostic evaluation of the pelvic floor dysfunctions. MRI can contribute to generate 3D solids of pelvic floor muscles through manual segmentation. The aim of this study is to calculate the area and its moment of inertia of 8 female pelvic floor muscles by using manual segmentation technique. Based on CAD software manual segmentation was used. To build 3D ...
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