Fig. 11.1 Semiquantitative scoring system for vertebral deformity in osteoporosis, graphic representation (Adapted with permission from Genant et al. [8]) Bone densitometry using DXA in osteoporosis has become a standard…
Fig. 7.1 Critical start-up points of the imaging workflow The imaging core lab should be able to take the lead in generating the imaging charter. The imaging charter may be…
Development phase Desired outcome Basic research Target identification Discovery/candidate optimization/prototype development Molecule or prototype that has suitable properties to interact with the pharmacological target in vivo Preclinical development Demonstrate proof…
Dose (mSv) Cancer risk Category I 0.006 GFR measurement (51Cr-EDTA) 1 in 1,000,000 1 in 240,000 0.007 1 day of natural background radiation 0.01 Chest X-ray, DXA 0.025 0.03…
and Dorin Comaniciu1 (1) Imaging and Computer Vision, Siemens Corporate Technology, Princeton, NJ, USA Abstract In this chapter, we present an automatic object detection and segmentation framework based on Marginal…
and Dorin Comaniciu1 (1) Imaging and Computer Vision, Siemens Corporate Technology, Princeton, NJ, USA Abstract To improve the shape initialization accuracy, this chapter presents the computation of an optimal mean…
and Dorin Comaniciu1 (1) Imaging and Computer Vision, Siemens Corporate Technology, Princeton, NJ, USA Abstract This chapter presents an efficient 3D learning-based object detection method, called Marginal Space Learning (MSL)….
and Dorin Comaniciu1 (1) Imaging and Computer Vision, Siemens Corporate Technology, Princeton, NJ, USA Abstract Marginal Space Learning (MSL) has been extensively tested on multiple anatomical structure detection and segmentation…
and Dorin Comaniciu1 (1) Imaging and Computer Vision, Siemens Corporate Technology, Princeton, NJ, USA Abstract The computational framework of Marginal Space Learning (MSL) formulates the detection of an anatomical structure…
and Dorin Comaniciu1 (1) Imaging and Computer Vision, Siemens Corporate Technology, Princeton, NJ, USA Abstract In this chapter, we present the constrained MSL to exploit correlations learned from the training…
