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Search: WFRF:(Kramer Elissa L.) > (2000-2004) > Procedure for unmas...

  • Dewyngaert, J. KeithNew York University (author)

Procedure for unmasking localization information from ProstaScint scans for prostate radiation therapy treatment planning

  • Article/chapterEnglish2004

Publisher, publication year, extent ...

  • Elsevier BV,2004
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:kth-23735
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-23735URI
  • https://doi.org/10.1016/j.ijrobp.2004.05.034DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • QC 20100525 QC 20110922 QC 20150630 44th Annual Meeting of the American-Society-for-Therapeutic-Radiology-and-Oncology. NEW ORLEANS, LA. OCT 06-10, 2002
  • Purpose: To demonstrate a method to extract the meaningful biologic information from In-111-radiolabeled capromab pendetide (ProstaScint) SPECT scans for use in radiation therapy treatment planning by removing that component of the In-111 SPECT images associated with normal structures. Methods and Materials: We examined 20 of more than 80 patients who underwent simultaneous Tc-99m/In-111 SPECT scans, which were subsequently registered to the corresponding CT/MRI scans. A thresholding algorithm was used to identify Tc-99m uptake associated with blood vessels and CT electron density associated with bone marrow. Corresponding voxels were removed from the In-111 image set. Results: No single threshold value was found to be associated with the Tc-99m uptake that corresponded to the blood vessels. Intensity values were normalized to a global maximum and, as such, were dependent upon the quantity of Tc-99m pooled in the bladder. The reduced ProstaScint volume sets were segmented by use of a thresholding feature of the planning system and superimposed on the CT/MRI scans. Conclusions: ProstaScint images are now closer to becoming a biologically and therapeutically useful and accurate image set. After known sources of normal intensity are stripped away, the remaining areas that demonstrate uptake may be segmented and superimposed on the treatment-planning CT/MRI volume.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Noz, Marilyn E.New York University, Department of Radiology,Nuclear Medicine (author)
  • Ellerin, B.New York University (author)
  • Kramer, Elissa L.New York University, Department of Radiology (author)
  • Maguire Jr., Gerald Q.KTH,Mikroelektronik och informationsteknik, IMIT(Swepub:kth)u1d13i2c (author)
  • Zeleznik, Michael P.RAHD Oncology Products, St. Louis, MO, USA (author)
  • New York UniversityNew York University, Department of Radiology (creator_code:org_t)

Related titles

  • In:International Journal of Radiation Oncology, Biology, Physics: Elsevier BV60:2, s. 654-6620360-30161879-355X

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