Dr. Marilyn E. Noz Profile

Dr. Marilyn E. Noz

Associate Professor Radiology

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Publications (8)

Proceedings Article | 29 April 2005 Paper

Qualifying CT for wrist arthroplasty: extending techniques for total hip arthroplasty to total wrist arthroplasty

Yvonne Alcala, Henrik Olivecrona, Lotta Olivecrona, Marilyn Noz, Gerald Maguire, Michael Zeleznik, Christer Sollerman

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.594582

KEYWORDS: Bone, Computed tomography, Tantalum, Visualization, Image registration, Surgery, Metals, Optical spheres, Image fusion, Data fusion

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Proceedings Article | 12 May 2004 Paper

Unmasking true signal/tumor information from ProstaScint scans

Benjamin Lee, J. Keith DeWyngaert, Marilyn Noz, Gerald Maguire, Antoinette Murphy-Walcott, Elissa Kramer

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.534737

KEYWORDS: Single photon emission computed tomography, Blood, Bladder, Prostate, Prostate cancer, Computed tomography, Magnetic resonance imaging, Image fusion, Nuclear medicine, Radiation oncology

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Proceedings Article | 6 June 2000 Paper

Comparison of three methods for registration of abdominal/pelvic volume data sets from functional-anatomic scans

Faaiza Mahmoud, Anthony Ton, Joakim Crafoord, Elissa Kramer, Gerald Maguire, Marilyn Noz, Michael Zeleznik

Proceedings Volume 3979, (2000) https://doi.org/10.1117/12.387648

KEYWORDS: Single photon emission computed tomography, Image registration, Visualization, Liver, 3D metrology, Data modeling, Computed tomography, 3D displays, Brain, 3D image processing

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Proceedings Article | 16 April 1996 Paper

Comparison and evaluation of retrospective intermodality image registration techniques

Jay West, J. Michael Fitzpatrick, Matthew Wang, Benoit Dawant, Calvin Maurer, Robert Kessler, Robert Maciunas, Christian Barillot, Didier Lemoine, Andre Collignon, Frederik Maes, Paul Suetens, Dirk Vandermeulen, Petra van den Elsen, Paul Hemler, Sandy Napel, Thilaka Sumanaweera, Beth Harkness, Derek Hill, Colin Studholme, Gregoire Malandain, Xavier Pennec, Marilyn Noz, Gerald Maguire, Michael Pollack, Charles Pelizzari, Richard Robb, Dennis Hanson, Roger Woods

Proceedings Volume 2710, (1996) https://doi.org/10.1117/12.237936

KEYWORDS: Image registration, Magnetic resonance imaging, Positron emission tomography, Computed tomography, Gold, Distortion, Image segmentation, Error analysis, Brain, Image processing

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All retrospective image registration methods have attached to them some intrinsic estimate of registration error. However, this estimate of accuracy may not always be a good indicator of the distance between actual and estimated positions of targets within the cranial cavity. This paper describes a project whose principal goal is to use a prospective method based on fiducial markers as a 'gold standard' to perform an objective, blinded evaluation of the accuracy of several retrospective image-to-image registration techniques. Image volumes of three modalities -- CT, MR, and PET -- were taken of patients undergoing neurosurgery at Vanderbilt University Medical Center. These volumes had all traces of the fiducial markers removed, and were provided to project collaborators outside Vanderbilt, who then performed retrospective registrations on the volumes, calculating transformations from CT to MR and/or from PET to MR, and communicated their transformations to Vanderbilt where the accuracy of each registration was evaluated. In this evaluation the accuracy is measured at multiple 'regions of interest,' i.e. areas in the brain which would commonly be areas of neurological interest. A region is defined in the MR image and its centroid C is determined. Then the prospective registration is used to obtain the corresponding point C' in CT or PET. To this point the retrospective registration is then applied, producing C' in MR. Statistics are gathered on the target registration error (TRE), which is the disparity between the original point C and its corresponding point C'. A second goal of the project is to evaluate the importance of correcting geometrical distortion in MR images, by comparing the retrospective TRE in the rectified images, i.e., those which have had the distortion correction applied, with that of the same images before rectification. This paper presents preliminary results of this study along with a brief description of each registration technique and an estimate of both preparation and execution time needed to perform the registration .

Proceedings Article | 11 April 1996 Paper

Feasibility of quantification of unreconstructed SPECT projection views using the opposing view method

Daniel Spevack, Marilyn Noz, Gerald Maguire

Proceedings Volume 2708, (1996) https://doi.org/10.1117/12.237838

KEYWORDS: Single photon emission computed tomography, Cameras, Liver, Calibration, Signal attenuation, Imaging systems, Head, Computed tomography, Floods, Monoclonal antibodies

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When single photon emission computer aided tomography (SPECT) is performed, planar projection views are taken at a series of stepping angles covering the entire arc around the patient. These projection views are identical to planar gamma camera images, except that they are generally taken with a shorter acquisition time. The projection views are reconstructed to create transaxial SPECT images via backprojection techniques. We attempted the following studies to show that opposing SPECT projection views could yield the same correct quantitative information as the planar gamma camera images. Planar and SPECT images were used from patients who had received 0.135 MBq (5 mCi) of In-111-methyl benzyl DTPA BrE- 3 monoclonal antibodies. An In-111 filled flat flood source was utilized to acquire transmission images on the planar gamma camera in order to generate an attenuation map of the patient in the anterior/posterior plane. A camera calibration factor was obtained using a source of known activity. The activity of the liver was determined from abdominal planar images using regions of interest (ROIs) drawn around the liver on opposing anterior and posterior views. Similarly, the activity of the liver was determined from the opposing SPECT projection images which showed the anterior and posterior views. The same attenuation map was used for the correction of both the planar images and SPECT projection views. A cylindrical plastic phantom containing spherical plastic balls was used to validate that this technique accurately measured the activity contained in selected ROIs. Planar and SPECT images were taken of the phantom with each ball containing 6.8 kBq (250 (mu) Ci) of Tc- 99m. A Tc-99m filled flat flood source was utilized to acquire transmission images on the planar gamma camera, and a source of known activity was used to obtain a camera calibration. Using a similar method to that used on the liver images, the activity of the balls was determined from the planar images and the SPECT projection views. Liver activities calculated from SPECT projection views matched the activities calculated from the planar images within 20% error. The activities for each ball in the phantom, calculated from SPECT projection views, matched the activity calculated from the planar images within 5% error, and matched the known activity in each ball within 10% error. The data indicates that despite their short acquisition times, the SPECT projection views may be used to quantify the activity from ROIs, without a significant increase in error associated with activity measurement.

Proceedings Article | 27 April 1995 Paper

Quantitative 3D visualization in nuclear medicine

Edward Farrell, Elissa Kramer, Marilyn Noz, Gerald Maguire

Proceedings Volume 2431, (1995) https://doi.org/10.1117/12.207653

KEYWORDS: Single photon emission computed tomography, Computed tomography, Visualization, 3D displays, Tumors, 3D visualizations, Image segmentation, Opacity, 3D image processing, Liver

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Proceedings Article | 20 August 1993 Paper

Landmark-based 3D fusion of SPECT and CT images

Lisa Brown, Gerald Maguire, Marilyn Noz

Proceedings Volume 2059, (1993) https://doi.org/10.1117/12.150244

KEYWORDS: Single photon emission computed tomography, Image fusion, Computed tomography, Skin, 3D image processing, Image registration, Visualization, Sensor fusion, X-ray computed tomography, Magnetic resonance imaging

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Proceedings Article | 1 June 1991 Paper

Constructing topologically connected surfaces for the comprehensive analysis of 3-D medical structures

Alan Kalvin, Court Cutting, Betsy Haddad, Marilyn Noz

Proceedings Volume 1445, (1991) https://doi.org/10.1117/12.45222

KEYWORDS: 3D image processing, Algorithm development, Visualization, 3D modeling, Image processing, Binary data, Systems modeling, Skull, 3D metrology, Medical imaging

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