DocumentCode
2472617
Title
8A-4 Spatial Co-Registration of Magnetic Resonance and Ultrasound Images of the Prostate as a Basis for Multi-Modality Tissue-Type Imaging
Author
Dasgupta, S. ; Feleppa, E. ; Ramachandran, S. ; Ketterling, J. ; Kalisz, A. ; Haker, S. ; Tempany, C. ; Porter, C. ; Lacrampe, M. ; Isacson, C. ; Sparks, D.
Author_Institution
Riverside Res. Inst., New York
fYear
2007
fDate
28-31 Oct. 2007
Firstpage
641
Lastpage
643
Abstract
We aim to integrate the chemical properties sensed by magnetic-resonance spectroscopy (MRS) with the micro-architectural mechanical properties sensed by ultrasound spectra to enhance our classifier sensitivity and specificity for distinguishing between cancerous and noncancerous regions in the prostate. Successfully combining ultrasound spectral parameters with MRS parameters, requires spatially co-registering 3-D volumes generated from ultrasound (US) and magnetic resonance data. We assessed two methods of co-registration. In the first method, volumes were warped in 3-D to compensate for distortions introduced during imaging. In the second method, a 3-D algorithm developed by Brigham and Women´s Hospital volumetrically matched MR and US images using a soft-tissue deformation model. We expect new multi-modality US-MRS tissue-type images to further advance our ability to visualize prostate cancer reliably and consequently improve prostate cancer biopsy guidance, treatment planning and treatment monitoring.
Keywords
biochemistry; biological organs; biomechanics; biomedical MRI; biomedical ultrasonics; cancer; image classification; image matching; image registration; magnetic resonance spectroscopy; medical image processing; tumours; 3-D volume generation; US-MRS tissue-type images; biochemical properties; cancerous regions; classifier sensitivity; distortion compensation; magnetic resonance images; microarchitectural mechanical properties; multimodality tissue-type imaging; noncancerous region; prostate cancer biopsy guidance; prostate visualization; soft-tissue deformation model; spatial co-registraton; treatment monitoring; treatment planning; ultrasound images; ultrasound spectral parameters; volumetrical matching; Chemicals; Hospitals; Magnetic properties; Magnetic resonance; Magnetic resonance imaging; Mechanical factors; Prostate cancer; Sensitivity and specificity; Spectroscopy; Ultrasonic imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Ultrasonics Symposium, 2007. IEEE
Conference_Location
New York, NY
ISSN
1051-0117
Print_ISBN
978-1-4244-1384-3
Electronic_ISBN
1051-0117
Type
conf
DOI
10.1109/ULTSYM.2007.166
Filename
4409739
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