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Australasian Physical & Engineering Sciences in Medicine Volume 27 Number 3, 2004
Stereotactic radiosurgery planning with ictal SPECT
images
T. Ackerly
1,2
, M. Geso
2
, G. O’Keefe
3
and R. Smith
4
1
Department of Physical Sciences, Peter MacCallum Cancer Centre, East Melbourne, Australia
2
School of Medical Sciences, RMIT University, Bundoora, Australia
3
Centre for PET, Austin & Repatriation Medical Centre, Heidelburg, Australia.
4
William Buckland Radiotherapy Centre, Alfred Group of Hospitals, Prahran, Australia
Abstract
This pap er is m otivated b y a clinical requ irement to uti lise ictal SPECT images for targ et loc alisation in stereotactic
radiosurgery treatment planning using the xknife system which only supports CT and MRI images. To achieve this, the
SPECT images wer e converted from r aw (pix el d ata on ly) fo rmat into a par t 10 complian t DICOM CT fileset. The
minimum requirements for the recasting of a raw format image as DICOM CT or MRI data set are described in detail.
The method can b e applied to the importation of raw format images into any radiotherapy treatment planning system
that supports CT or MRI import. It is demonstrated th at the combination of th e low spatial resolution SPECT images,
depicting fun ctional informat ion, with high spatial r esolution MRI images , which show th e stru ctural information , is
suitable for stereotactic radiosurgery treatment planning.
Key words Stereotactic Radiosurgery, SPECT, DICOM
Introduction
Stereotactic radiosurgery is a tec hnique coupling im age
guided neurosurgical in tracranial localisation techniques
with si ngle dose e xternal be am irradiation t o achieve non
invasive treatm ent of small, easily visualised lesi ons. The
XKnife RT system allows the routine use of CT and MRI
images for stereotactic treatment planning of medical linear
accelerator based radiosurgery. Ictal (during seizure) Single
Photon Em ission Com puted Tom ography (SPEC T) with
Technetium-99m is the preferred im aging m odality for
epilepsy
1
. Ictal SPECT im ages acquire d at the Nuclear
Medicine department of t he Austin and Repatriation
Medical Centre (ARMC) have bee n incorporated into the
stereotactic radiosurgical treatm ent planning at the William
Buckland Radiot herapy Centre (WBRC) of t he Alfred
Hospital. The ori ginal ictal SPECT images consisted of 65
slices separated by 2.3 mm covering a n axial field of view
(FOV) of 149 mm, each slice made up of 128 by 128 square
pixels of side length 1.8 mm covering a tra nsaxial FOV of
side length 230 mm . The spatial resolution of t he SPECT
imaging system was a nom inal 8 m m full widt h at half
maximum. In consultation with the WBRC, the volumetric
Corresponding author: T. Ackerly, Dep t o f Ph ysical Scien ces,
Peter MacCallum Cancer Centre, Locked Bag 1, A’Beckett Street,
East Melbourne, Victoria, 8006 , Australia. T el: 61-3-9656-1260,
Fax: 61-3-9650 -4870, Email: Trevor.Ackerly@petermac.org
Received: 24 November 2003; Accepted: 30 August 2004
Copyright © 2004 ACPSEM/EA
SPECT data was co-registered at the ARMC wit h a
volumetric Magnetic Resonance Imaging (MRI) data set, a
technique that has been validated by O’Brien et. al.
2
. Both
the original MRI a nd the re -sampled co-re gistered SPECT
image data sets were then saved in raw pixel only format,
256 by 256 pixels per slice, 12 4 slices, 16 bits pe r pixel,
little endian integer format. Unfortunately these im ages
could not be imported directly into the WBRC xknife
stereotactic treatment planning system. Although the xknife
system supported t he importation and use of DIC OM
3
format CT and MRI , it did not support the importation or
display of SPECT images
4
. Additionally, Radionics
4
did not
have a raw to Dicom converter available
5
. At this point the
Peter MacCallum Cancer Centre (PMCC) undertook to
create a tra nslator from raw to DICOM format, so that the
raw SPECT im age was e ffectively em bedded i n the pixel
data section of multiple DICOM CT files form ing part of a
DICOM PART 10 conform ant image set. In this way t he
SPECT data would be split up and reassembled insi de t he
xknife com puter under t he alias of a CT image. The first
treatment went ahead as pla nned at the WBRC. This paper
describes the implementation of the RAW to CT and RAW
to MRI conversion.
Method
Clinical procedure
The MR and SPECT scans were initially performed six
weeks prior to the treatm ent of the patient. The two scans
were co – re gistered and the SPECT scan was sampled and
transformed to create a new SPECT scan that had the same