Conference proceeding
Tissue volume and vesselness measure preserving nonrigid registration of lung CT images
Proceedings of SPIE, Vol.7623(1), pp.762309-762308
Medical Imaging 2010: Image Processing
03/05/2010
DOI: 10.1117/12.844541
Abstract
In registration-based analyses of lung biomechanics and function, high quality registrations are essential to obtain
meaningful results. Various criteria have been suggested to find the correspondence mappings between two lung
images acquired at different levels of inflation. In this paper, we describe a new metric, the sum of squared
vesselness measure difference (SSVMD), that utilizes the rich information of blood vessel locations and matches
similar vesselness patterns in two images. Preserving both the lung tissue volume and the vesselness measure,
a registration algorithm is developed to minimize the sum of squared tissue volume difference (SSTVD) and
SSVMD together. We compare the registration accuracy using SSTVD + SSVMD with that using SSTVD
alone by registering lung CT images of three normal human subjects. After adding the new SSVMD metric, the
improvement of registration accuracy is observed by landmark error and fissure positioning error analyses. The
average values of landmark error and fissure positioning error are reduced by about 30% and 25%, respectively.
The mean landmark error is on the order of 1 mm. Statistical testing of landmark errors shows that there
is a statistically significant difference between two methods with
values < 0.05 in all three subjects. Visual
inspection shows there are obvious accuracy improvements in the lung regions near the thoracic cage after adding
SSVMD.
Details
- Title: Subtitle
- Tissue volume and vesselness measure preserving nonrigid registration of lung CT images
- Creators
- Kunlin Cao - The Univ. of Iowa (United States)Kai Ding - The Univ. of Iowa (United States)Gary E Christensen - The Univ. of Iowa (United States)Joseph M Reinhardt - The Univ. of Iowa (United States)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.7623(1), pp.762309-762308
- Conference
- Medical Imaging 2010: Image Processing
- DOI
- 10.1117/12.844541
- ISSN
- 0277-786X
- Language
- English
- Date published
- 03/05/2010
- Academic Unit
- Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering; Radiology; Radiation Oncology; Radiation Research Laboratory
- Record Identifier
- 9984047746502771
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