Abstract book (pdf) - ICPR 2010

09:00-11:10, Paper WeAT9.25
3D Reconstruction of Tumors for Applications in Laparoscopy using Conformal Geometric Algebra
Machucho, Rubén, CINVESTAV, Unidad Guadalajara
Bayro Corrochano, Eduardo Jose, CINVESTAV, Unidad Guadalajara
This paper presents a method for 3D reconstruction of tumors for applications in laparoscopy. This uses stereo endoscopic
ultrasound images, which are simultaneously recorded. To do this, the ultrasound probe is tracked throughout the stereo
endoscopic images using a particle filter and an auxiliary method based on thresholding in the HSV-space is used in order
to improve the tracking. Then, the 3D pose of the ultrasound probe is calculated using conformal geometric algebra. The
2D ultrasound images have been segmented using two methods: the level sets method and morphological operators, and
a comparison between their performances has been done. Finally, the processed ultrasound images are compounded into
a 3D volume, using the calculated ultrasound pose.
09:00-11:10, Paper WeAT9.26
Vessel Bend-Based Cup Segmentation in Retinal Images
Joshi, Gopal Datt, IIIT Hyderabad
Sivaswamy, Jayanthi, IIIT Hyderabad
Karan, Kundan, AECS, Madurai
Ranganath, Prashanth Ranganath, AECS, Madurai
Krishnadas, S.r.krishnadas, AECS, Madurai
In this paper, we present a method for cup boundary detection from monocular colour fundus image to help quantify cup
changes. The method is based on anatomical evidence such as vessel bends at cup boundary, considered relevant by glaucoma
experts. Vessels are modeled and detected in a curvature space to better handle inter-image variations. Bends in a
vessel are robustly detected using a region of support concept, which automatically selects the right scale for analysis. A
reliable subset called r-bends is derived using a multi-stage strategy and a local splinetting is used to obtain the desired
cup boundary. The method has been successfully tested on 133 images comprising 32 normal and 101 glaucomatous
images against three glaucoma experts. The proposed method shows high sensitivity in cup to disk ratio-based glaucoma
detection and local assessment of the detected cup boundary shows good consensus with the expert markings.
09:00-11:10, Paper WeAT9.27
A Spot Segmentation Approach for 2D Gel Electrophoresis Images based on 2D Histograms
Zacharia, Eleni, Univ. of Athens
Kostopoulou, Eirini, Univ. of Athens
Maroulis, Dimitris, Univ. of Athens
Kossida, Sophia, Foundation of Biomedical Res. of the Acad. of Athens
Spot-Segmentation, an essential stage of processing 2D gel electrophoresis images, remains a challenging process. The
available software programs and techniques fail to separate overlapping protein spots correctly and cannot detect low intensity
spots without human intervention. This paper presents an original approach to spot segmentation in 2D gel electrophoresis
images. The proposed approach is based on 2D-histograms of the aforementioned images. The conducted
experiments in a set of 16-bit 2D gel electrophoresis images demonstrate that the proposed method is very effective and
it outperforms existing techniques even when it is applied to images containing several overlapping spots as well as to
images containing spots of various intensities, sizes and shapes.
09:00-11:10, Paper WeAT9.28
Automated Tracking of the Carotid Artery in Ultrasound Image Sequences using a Self Organizing Neural Network
Hamid Muhammed, Hamed, Royal Inst. of Tech. (KTH)
Azar, Jimmy C., STH, KTH
An automated method for the segmentation and tracking of moving vessel walls in 2D ultrasound image sequences is introduced.
The method was tested on simulated and real ultrasound image sequences of the carotid artery. Tracking was
achieved via a self organizing neural network known as Growing Neural Gas. This topology-preserving algorithm assigns
a net of nodes connected by edges that distributes itself within the vessel walls and adapts to changes in topology with
time. The movement of the nodes was analyzed to uncover the dynamics of the vessel wall. By this way, radial and longitudinal
strain and strain rates have been estimated. Finally, wave intensity signals were computed from these measure-
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