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Planar visual fusion scintigraphy

Abstract

dc:description.abstract

Planar scintigraphy, while providing useful information about the distribution of the radiopharmaceutical being used, often does not provide adequate information about the surrounding anatomical structures. A proposed method to solve this problem is by registering and fusing a scintigraphic image with a digital visual image. Fusing planar scintigraphic images with visual photographic images to supply an anatomic correlate to regions of radiopharmaceutical accumulation has been explored in this study. The digital visual image will provide a context for the relevant structures in the scintigraphic image. The validity of using one set of affine transformation parameters for registering all patient data has been confirmed with preliminary data. Results using patient data confirm registration accuracy to within .95 cm on average and 2.35 cm as the greatest amount of error. Error was approximated for an optimal imaging radial distance from the optical axis as being 1.70 cm. Initial clinical imaging has subjectively been very useful in low background applications such as lymphoscintigraphy, whole body 1-131 Nal imaging for thyroid cancer and In-l 11 WBC infection imaging.

Degree

thesis:*
Name thesis:degree_name
Master of Science in Computer Engineering - (M.S.)
Discipline thesis:degree_discipline
Electrical and Computer Engineering
Year
2005

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Puthiamadathil, Jacob
Contributors dc:contributor
  • Atam P. Dhawan
  • Yun Q. Shi
  • Lionel S. Zuckier

Subjects

dc:subject × 4

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.njit.edu/theses/483
OAI identifier oai:identifier
oai:digitalcommons.njit.edu:theses-1482

Chain of custody

source
Harvested from
NJIT
Base URL
digitalcommons.njit.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Puthiamadathil, Jacob. Planar visual fusion scintigraphy. 2005. https://digitalcommons.njit.edu/theses/483