Semiautomatic detection of scoliotic rib borders from posteroanterior chest radiographs

3-D assessment of scoliotic deformities relies on an accurate 3-D reconstruction of bone structures from biplanar X-rays, which requires a precise detection and matching of anatomical structures in both views. In this paper, we propose a novel semiautomated technique for detecting complete scoliotic rib borders from PA-0° and PA-20° chest radiographs, by using an edge-following approach with multiple-path branching and oriented filtering. Edge-following processes are initiated from user starting points along upper and lower rib edges and the final rib border is obtained by finding the most parallel pair among detected edges. The method is based on a perceptual analysis leading to the assumption that no matter how bent a scoliotic rib is, it will always present relatively parallel upper and lower edges. The proposed method was tested on 44 chest radiographs of scoliotic patients and was validated by comparing pixels from all detected rib borders against their reference locations taken from the associated manually delineated rib borders. The overall 2-D detection accuracy was 2.64 ± 1.21 pixels. Comparing this accuracy level to reported results in the literature shows that the proposed method is very well suited for precisely detecting borders of scoliotic ribs from PA-0° and PA-20° chest radiographs.     

Quality assurance and authentication of herbal drug (Argyrolobium roseum and Viola stocksii) through comparative light and scanning electron microscopy

The quality assurance and authentication of crude herbal drugs play important role in the effective therapeutic effect of herbal drug and their products. There are many reported problems in quality assurance of herbal crude drugs concerning to their correct identification. The present study was designed with the aim to document the authentication and quality assurance of the herbal crude drugs (Argyrolobium roseum and Viola stocksii) thorough light microscopy (LM) and scanning electron microscopy (SEM). The detailed foliar anatomical studies showed polygonal epidermal cells having anticlinal walls in Argyrolobium roseum while rounded epidermal cells were observed in Viola stocksii. The anomocytic stomata type was observed in Argrolobium roseum while actinocytic was noticed in Viola stocksii. The pollen of studied species appeared as tricolporate showing reticulate exine sculpturing in Argrolobium roseum while fine perforations were recorded in Viola stocksii. Furthermore, quantitative analysis of phenols, flavonoids, and antioxidant activity showed high flavonoid and phenol content in Argyrolobium roseum as compared with Viola stocksii. It was observed that Argyrolobium roseum was discriminated from the Viola stocksii based on the leaf and pollen micromorphological traits by using LM and SEM techniques. It was concluded that LM and SEM techniques were found useful for the quality assurance of botanicals and their authentication.     

Distribution of sulfur-containing compounds in streams for concentration of propylene

Translated from Khimiya i Tekhnologiya Topliv i Masel, No. 10, pp. 5–6, October, 1989.     

Detection and correction of specular reflections for automatic surgical tool segmentation in thoracoscopic images

This paper presents an algorithm that automatically detects and corrects specular reflections in thoracoscopic images and its application in the context of automatic segmentation of surgical tools. The detection is done by isolating the spike component of the specular reflection which is characterized by a bump at the end of the histogram of thoracoscopic images. The specular lobe is then extracted in the neighborhood of the spike component of the reflection. The result is a mask of the reflections positions in the image. Thereafter, the image is corrected using Oliveira et al.’s digital inpainting method. The automatic segmentation of surgical tools using the corrected images is then demonstrated. Results of the segmentation with and without the specular reflection elimination technique are compared. Moreover, 108 images extracted from 5 different surgeries performed under various conditions were considered to demonstrate the effectiveness of the proposed technique.