+ Site Statistics
References:
54,258,434
Abstracts:
29,560,870
PMIDs:
28,072,757
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Preventing signal degradation during elastic matching of noisy DCE-MR eye images



Preventing signal degradation during elastic matching of noisy DCE-MR eye images



Medical Image Computing and Computer-Assisted Intervention 9(Pt 1): 832-839



Motion during the acquisition of dynamic contrast enhanced MRI can cause model-fitting errors requiring co-registration. Clinical implementations use a pharmacokinetic model to determine lesion parameters from the contrast passage. The input to the model is the time-intensity plot from a region of interest (ROI) covering the lesion extent. Motion correction meanwhile involves interpolation and smoothing operations thereby affecting the time-intensity plots. This paper explores the trade-offs in applying an elastic matching procedure on the lesion detection and proposes enhancements. The method of choice is the 3D realization of the Demon's elastic matching procedure. We validate our enhancements using synthesized deformation of stationary datasets that also serve as ground-truth. The framework is tested on 42 human eye datasets. Hence, we show that motion correction is beneficial in improving the model-fit and yet needs enhancements to correct for the intensity reductions during parameter estimation.

Please choose payment method:






(PDF emailed within 1 workday: $29.90)

Accession: 050004382

Download citation: RISBibTeXText

PMID: 17354968


Related references

A computerized system for the elastic matching of deformed radiographic images to idealized atlas images. Journal of Computer Assisted Tomography 7(4): 618-625, 1983

Orientation determination by wavelets matching for 3D reconstruction of very noisy electron microscopic virus images. Bmc Structural Biology 5: 5-5, 2005

MAP signal estimation in noisy sequences of morphologically smooth images. IEEE Transactions on Image Processing 5(6): 1088-1093, 1996

Elastic matching of dynamic MR mammographic images. Magnetic Resonance in Medicine 43(1): 9-16, 2000

Revealing signal from noisy (19) F MR images by chemical shift artifact correction. Magnetic Resonance in Medicine 73(6): 2225-2233, 2016

Effect of quantization noise on visual signal detection in noisy images. Journal of the Optical Society of America. A, Optics and Image Science 2(9): 1424-1428, 1985

Improved contralateral subtraction images by use of elastic matching technique. Medical Physics 27(8): 1934-1942, 2000

Analysis of cluttered scenes using an elastic matching approach for stereo images. Neural Computation 18(6): 1441-1471, 2006

Evaluation of elastic matching system for anatomic (CT, MR) and functional (PET) cerebral images. Journal of Computer Assisted Tomography 13(4): 603-611, 1989

Comparison of rigid and elastic matching of dynamic magnetic resonance mammographic images by mutual information. Medical Physics 27(10): 2456-2461, 2000

Validation of an elastic matching algorithm based on complex wavelets for the realignment of dynamic MR breast images. Conference Proceedings 3: 1745-1746, 2007

Histogram Matching Extends Acceptable Signal Strength Range on Optical Coherence Tomography Images. Investigative Ophthalmology & Visual Science 56(6): 3810-3819, 2015

Estimating random signal parameters from noisy images with nuisance parameters: linear and scanning-linear methods. Optics Express 16(11): 8150-8173, 2008

Performance of principal component analysis and independent component analysis with respect to signal extraction from noisy positron emission tomography data - a study on computer simulated images. Open Neuroimaging Journal 3: 1-16, 2009