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Automatic Registration and Alignment on a Template of Cardiac Stress & Rest SPECT Images

Abstract : Single photon emission computed tomography (SPECT) imaging with Thallium 201 or Technetium 99 is used to assess the location or the extent of myocardial infarction or ischemia. A method is proposed to decrease the effect of operator variability and morphologically blind sampling in the quantification of scintigraphic myocardial perfusion studies. To this effect the patient's myocardial images (target cases) are registered automatically over a template image, utilizing non-rigid transformations. The intermediate steps are: 1.~Extraction of feature points in both stress and rest 3D images. We resample the images in a polar geometry to detect edges and we use a priori constraints to filter the points. Those feature points are assumed to be edges of the left ventricle. 2.~Registration of stress and rest images with an affine transformation. The matching method is an adaptation of the Iterative Closest Point algorithm. 3.~Alignment of both stress and rest images on a template using a non-rigid local spline transformation. The matching method is the one used in step 2. 4.~Resampling of both stress and rest images in the geometry of the template. Experiments have been lead on a database including 40 pairs of images selected to obtain a group of image abnormalities and variability. Upon the successful clinical validation of this work, a reliable, operator independent method for the analysis and interpretation of myocardial perfusion scintigraphies will be available.
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Submitted on : Wednesday, May 24, 2006 - 2:05:49 PM
Last modification on : Friday, February 4, 2022 - 3:17:37 AM
Long-term archiving on: : Thursday, March 24, 2011 - 1:23:28 PM


  • HAL Id : inria-00073922, version 1



Jérôme Declerck, Jacques Feldmar, Michael L. Goris, Fabienne Betting. Automatic Registration and Alignment on a Template of Cardiac Stress & Rest SPECT Images. RR-2770, INRIA. 1996. ⟨inria-00073922⟩



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