A Novel Combined Level Set Model for Carpus Segmentation from Magnetic Resonance Images with Prior Knowledge aligned in Polar Coordinate System

Li, Jianzhang; Nebelung, Sven; Schock, Justus; Rath, Björn; Tingart, Markus; Liu, Yu; Siroros, Nad; Eschweiler, Jörg

doi:10.1016/j.cmpb.2021.106245

Cited by 5 publications

(4 citation statements)

References 28 publications

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“…The unprocessed carpal and cartilage models were directly outputted from the ITK-SNAP without any further build-in smoothing procedure. Then, we utilized our former image processing strategy [ 21 , 22 ] for the model surface refinement ( Figure 3 ), which offers the best compromise between model surface smoothness and boney surface fidelity.…”

Section: Methodsmentioning

confidence: 99%

Wrist Bone Motion during Flexion-Extension and Radial-Ulnar Deviation: An MRI Study

Rath

Hildebrand

et al. 2022

Life

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The wrist joint plays a vital role in activities of daily living. Clinical applications, e.g., therapeutic planning, prosthesis design, and wrist biomechanical analysis, require a detailed understanding of wrist maneuvers and motion. The lack of soft tissue information, motion analysis on limited carpal bones, etc., restrain the investigation of wrist kinematics. In this study, we established 3D models of carpal bones with their cartilages, and revealed the helical axes (HA) of all eight carpal bones for the first time. Both left and right hands at different positions of flexion-extension (FE) and radial-ulnar deviation (RUD) from five subjects were in-vivo imaged through a magnetic resonance imaging device. We segmented all of the bones, including cartilage information in the wrist joint, after which we explored the kinematics of all carpal bones with the HA method. The results showed that the HA of all carpal bones for FE bounded tightly and was mainly located slightly above the radius. During the RUD, carpal bones in the distal row rotated along with wrist movement while the scaphoid, lunate, and triquetrum primarily flexed and extended. Further results reported that the carpal bones translated greater in RUD than in FE. With the generation of more delicate wrist models and thorough investigations of carpal motion, a better understanding of wrist kinematics was obtained for further pathologic assessment and surgical treatment.

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Section: Methodsmentioning

confidence: 99%

Wrist Bone Motion during Flexion-Extension and Radial-Ulnar Deviation: An MRI Study

Rath

Hildebrand

et al. 2022

Life

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“…The datasets involved in this study were adapted from our former research, which has been approved by the institutional review board (EK 171/10), and written informed consent requirements were obtained [ 13 ]. We randomly selected MRI scans and corresponding segmented ground truths from ten subjects.…”

Section: Methodsmentioning

confidence: 99%

Smoothing the Undersampled Carpal Bone Model with Small Volume and Large Curvature: A Feasibility Study

Praster

et al. 2022

Life

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The carpal bones are eight small bones with irregularities and high curvature on their surfaces. The 3D model of the carpal bone serves as the foundation of further clinical applications, e.g., wrist kinematic behavior. However, due to the limitation of the Magnetic Resonance Imaging (MRI) technique, reconstructed carpal bone models are discretely undersampled, which has dramatic stair-step effects and leads to abnormal meshes on edges or surfaces, etc. Our study focuses on determining the viability of various smoothing techniques for a carpal model reconstructed by in vivo gathered MR images. Five algorithms, namely the Laplacian smoothing algorithm, the Laplacian smoothing algorithm with pre-dilation, the scale-dependent Laplacian algorithm, the curvature flow algorithm, and the inverse distance algorithm, were chosen for evaluation. The assessment took into account the Relative Volume Difference and the Hausdorff Distance as well as the surface quality and the preservation of morphological and morphometric properties. For the five algorithms, we analyzed the Relative Volume Difference and the Hausdorff Distance for all eight carpal bones. Among all the algorithms, the scale-dependent Laplacian method processed the best result regarding surface quality and the preservation of morphological and morphometric properties. Based on our extensive examinations, the scale-dependent Laplacian algorithm is suitable for the undersampled carpal bone model with small volume and large curvature.

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“…Gou et al conducted automatic segmentation through a dynamic programming algorithm [ 17 ], and Manos et al employed the region growing [ 18 ] and region merging algorithms sequentially after pre-processing, using a Canny edge detector [ 19 ]. In addition, some advanced algorithms have been applied to overcome the disadvantages related to each medical image domain by combining these conventional methods [ 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

Automatic Segmentation for Favourable Delineation of Ten Wrist Bones on Wrist Radiographs Using Convolutional Neural Network

Kang

Han

et al. 2022

JPM

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Purpose: This study aimed to develop and validate an automatic segmentation algorithm for the boundary delineation of ten wrist bones, consisting of eight carpal and two distal forearm bones, using a convolutional neural network (CNN). Methods: We performed a retrospective study using adult wrist radiographs. We labeled the ground truth masking of wrist bones, and propose that the Fine Mask R-CNN consisted of wrist regions of interest (ROI) using a Single-Shot Multibox Detector (SSD) and segmentation via Mask R-CNN, plus the extended mask head. The primary outcome was an improvement in the prediction of delineation via the network combined with ground truth masking, and this was compared between two networks through five-fold validations. Results: In total, 702 images were labeled for the segmentation of ten wrist bones. The overall performance (mean (SD] of Dice coefficient) of the auto-segmentation of the ten wrist bones improved from 0.93 (0.01) using Mask R-CNN to 0.95 (0.01) using Fine Mask R-CNN (p < 0.001). The values of each wrist bone were higher when using the Fine Mask R-CNN than when using the alternative (all p < 0.001). The value derived for the distal radius was the highest, and that for the trapezoid was the lowest in both networks. Conclusion: Our proposed Fine Mask R-CNN model achieved good performance in the automatic segmentation of ten overlapping wrist bones derived from adult wrist radiographs.

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A Novel Combined Level Set Model for Carpus Segmentation from Magnetic Resonance Images with Prior Knowledge aligned in Polar Coordinate System

Cited by 5 publications

References 28 publications

Wrist Bone Motion during Flexion-Extension and Radial-Ulnar Deviation: An MRI Study

Wrist Bone Motion during Flexion-Extension and Radial-Ulnar Deviation: An MRI Study

Smoothing the Undersampled Carpal Bone Model with Small Volume and Large Curvature: A Feasibility Study

Automatic Segmentation for Favourable Delineation of Ten Wrist Bones on Wrist Radiographs Using Convolutional Neural Network

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