Byoung-Moon You

Bio: Byoung-Moon You is an academic researcher from Wayne State University. The author has contributed to research in topics: Biplane & Imaging phantom. The author has an hindex of 2, co-authored 4 publications receiving 270 citations.

In vivo measurement of 3-D skeletal kinematics from sequences of biplane radiographs: Application to knee kinematics

Abstract: Current noninvasive or minimally invasive methods for evaluating in vivo knee kinematics are inadequate for accurate determination of dynamic joint function due to limited accuracy and/or insufficient sampling rates. A three-dimensional (3-D) model-based method is presented to estimate skeletal motion of the knee from high-speed sequences of biplane radiographs. The method implicitly assumes that geometrical features cannot be detected reliably and an exact segmentation of bone edges is not always feasible. An existing biplane radiograph system was simulated as two separate single-plane radiograph systems. Position and orientation of the underlying bone was determined for each single-plane view by generating projections through a 3-D volumetric model (from computed tomography), and producing an image (digitally reconstructed radiograph) similar (based on texture information and rough edges of bone) to the two-dimensional radiographs. The absolute 3-D pose was determined using known imaging geometry of the biplane radiograph system and a 3-D line intersection method. Results were compared to data of known accuracy, obtained from a previously established bone-implanted marker method. Difference of controlled in vitro tests was on the order of 0.5 mm for translation and 1.4/spl deg/ for rotation. A biplane radiograph sequence of a canine hindlimb during treadmill walking was used for in vivo testing, with differences on the order of 0.8 mm for translation and 2.5/spl deg/ for rotation.

Color-WISE: a system for image similarity retrieval using color

Abstract: Color is one of the most widely used features for image similarity retrieval. Most of the existing image similarity retrieval schemes employ either global or local color histogramming. In this paper, we explore the use of localized dominant hue and saturation values for color-based image similarity retrieval. This scheme results in a relatively compact representation of color images for similarity retrieval. Experimental results comparing the proposed representation with global and local color histogramming are presented to show the efficacy of the suggested scheme.

3D knee-motion tracking from sequences of radiographs

Abstract: In this paper, a 3D model-based approach is proposed for tracking 3D motion (positions and orientations) of the knee from sequences of 2D radiographs. Conventional methods using external skin markers or body model do not accurately reflect motion of the underlying bone. In contrast, our method is to use sequences of radiographs for direct visualization of bone motion during activities. A 3D texture-mapped volume rendering is used to simulate a radiograph image, a 2D projected image of the 3D model data. A Quadtree-based normalized correlation algorithm is employed to measure similarity between the projected 2D model image and the pre-processed radiograph image. An optimization routine iterates the six motion parameters until the optimal similarity is obtained. This method has been evaluated using test data collected from an anatomically accurate radiographic knee phantom, specifically femur part of the phantom. Further testing is underway using in-vivo radiograph image sequences of a canine hindlime during treadmill walking.© (1999) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

X-ray reconstruction of moving morphology (XROMM): precision, accuracy and applications in comparative biomechanics research.

Abstract: X-Ray Reconstruction of Moving Morphology (XROMM) comprises a set of 3D X-ray motion analysis techniques that merge motion data from in vivo X-ray videos with skeletal morphology data from bone scans into precise and accurate animations of 3D bones moving in 3D space. XROMM methods include: (1) manual alignment (registration) of bone models to video sequences, i.e., Scientific Rotoscoping; (2) computer vision-based autoregistration of bone models to biplanar X-ray videos; and (3) marker-based registration of bone models to biplanar X-ray videos. Here, we describe a novel set of X-ray hardware, software, and workflows for marker-based XROMM. Refurbished C-arm fluoroscopes retrofitted with high-speed video cameras offer a relatively inexpensive X-ray hardware solution for comparative biomechanics research. Precision for our biplanar C-arm hardware and analysis software, measured as the standard deviation of pairwise distances between 1 mm tantalum markers embedded in rigid objects, was found to be ±0.046 mm under optimal conditions and ±0.084 mm under actual in vivo recording conditions. Mean error in measurement of a known distance between two beads was within the 0.01 mm fabrication tolerance of the test object, and mean absolute error was 0.037 mm. Animating 3D bone models from sets of marker positions (XROMM animation) makes it possible to study skeletal kinematics in the context of detailed bone morphology. The biplanar fluoroscopy hardware and computational methods described here should make XROMM an accessible and useful addition to the available technologies for studying the form, function, and evolution of vertebrate animals. J. Exp. Zool. 313A:262–279, 2010. © 2010 Wiley-Liss, Inc.

Content-Based Image Retrieval Systems

Abstract: In this paper we present image data representation, similarity image retrieval, the architecture of a generic content-based image retrieval system, and different content-based image retrieval systems. l o w we d es cribe a n umber of cont e n t-b a s ed image retri e va l s ystems, in al pha be tical o r der. If