Limits...
Automatic and manual image fusion of In-pentetreotide SPECT and diagnostic CT in neuroendocrine tumor imaging - An evaluation.

Hedlund E, Karlsson JE, Starck SÅ - J Med Phys (2010)

Bottom Line: In the clinical diagnosis of neuroendocrine tumors (NET), the results of examinations, such as high-resolution computed tomography (CT) and single photon computerized tomography (SPECT), have conventionally been interpreted separately.SPECT and CT data were fused using software with a registration algorithm based on normalized mutual information.Automatic image fusion with specified software of SPECT and CT acts better when the number of CT slices is reduced to the SPECT volume and when corresponding pathological lesions appear at both SPECT and CT examinations.

View Article: PubMed Central - PubMed

Affiliation: Medical Imaging, School of Health Sciences, Jönköping University, Jönköping, Sweden.

ABSTRACT
In the clinical diagnosis of neuroendocrine tumors (NET), the results of examinations, such as high-resolution computed tomography (CT) and single photon computerized tomography (SPECT), have conventionally been interpreted separately. The aim of the present study was to evaluate Hermes Multimodality™ 5.0 H Image Fusion software-based automatic and manual image fusion of SPECT and CT for the localization of NET lesions. Out of 34 NET patients who were examined by means of somatostatin receptor scintigraphy (SRS) with 111In- pentetreotide along with SPECT, 22 patients had a CT examination of the abdomen, which was used in the fusion analysis. SPECT and CT data were fused using software with a registration algorithm based on normalized mutual information. The criteria for acceptable fusion were established at a maximum cranial or caudal dislocation of 25 mm between the images and at a reasonable consensus (in order of less than 1 cm) between outline of the reference organs. The automatic fusion was acceptable in 13 of the 22 examinations, whereas 9 fusions were not. However all the 22 examinations were acceptable at the manual fusion. The result of automatic fusion was better when the slice thickness of 5 mm was applied at CT examination, when the number of slices was below 100 in CT data and when both examinations included uptakes of pathological lesions. Retrospective manual image fusion of SPECT and CT is a relatively inexpensive but reliable method to be used in NET imaging. Automatic image fusion with specified software of SPECT and CT acts better when the number of CT slices is reduced to the SPECT volume and when corresponding pathological lesions appear at both SPECT and CT examinations.

No MeSH data available.


Related in: MedlinePlus

An image fusion in which positive uptake of activity in SPECT image (right) corresponds to NET lesions in the liver at CT image (left). There are also corresponding physiological uptakes in gall bladder and left kidney (left posterolateral aspect). Right kidney has no uptake in the SPECT study
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC2990117&req=5

Figure 0001: An image fusion in which positive uptake of activity in SPECT image (right) corresponds to NET lesions in the liver at CT image (left). There are also corresponding physiological uptakes in gall bladder and left kidney (left posterolateral aspect). Right kidney has no uptake in the SPECT study

Mentions: An access to multimodal information data can of course; confirm or exclude NETs, from observations made giving anatomical explanations to some of the scintigraphic findings [Figure 1], thus reducing false interpretations of the uptake of activity. Typical examples are physiological tracer uptake in the gut or the gallbladder [Figure 2]. Figure 3 shows a result image of a fusion in three orthogonal planes with specific pentetreotide uptake in liver metastases and pancreas, and physiological uptake in the stomach.


Automatic and manual image fusion of In-pentetreotide SPECT and diagnostic CT in neuroendocrine tumor imaging - An evaluation.

Hedlund E, Karlsson JE, Starck SÅ - J Med Phys (2010)

An image fusion in which positive uptake of activity in SPECT image (right) corresponds to NET lesions in the liver at CT image (left). There are also corresponding physiological uptakes in gall bladder and left kidney (left posterolateral aspect). Right kidney has no uptake in the SPECT study
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2990117&req=5

Figure 0001: An image fusion in which positive uptake of activity in SPECT image (right) corresponds to NET lesions in the liver at CT image (left). There are also corresponding physiological uptakes in gall bladder and left kidney (left posterolateral aspect). Right kidney has no uptake in the SPECT study
Mentions: An access to multimodal information data can of course; confirm or exclude NETs, from observations made giving anatomical explanations to some of the scintigraphic findings [Figure 1], thus reducing false interpretations of the uptake of activity. Typical examples are physiological tracer uptake in the gut or the gallbladder [Figure 2]. Figure 3 shows a result image of a fusion in three orthogonal planes with specific pentetreotide uptake in liver metastases and pancreas, and physiological uptake in the stomach.

Bottom Line: In the clinical diagnosis of neuroendocrine tumors (NET), the results of examinations, such as high-resolution computed tomography (CT) and single photon computerized tomography (SPECT), have conventionally been interpreted separately.SPECT and CT data were fused using software with a registration algorithm based on normalized mutual information.Automatic image fusion with specified software of SPECT and CT acts better when the number of CT slices is reduced to the SPECT volume and when corresponding pathological lesions appear at both SPECT and CT examinations.

View Article: PubMed Central - PubMed

Affiliation: Medical Imaging, School of Health Sciences, Jönköping University, Jönköping, Sweden.

ABSTRACT
In the clinical diagnosis of neuroendocrine tumors (NET), the results of examinations, such as high-resolution computed tomography (CT) and single photon computerized tomography (SPECT), have conventionally been interpreted separately. The aim of the present study was to evaluate Hermes Multimodality™ 5.0 H Image Fusion software-based automatic and manual image fusion of SPECT and CT for the localization of NET lesions. Out of 34 NET patients who were examined by means of somatostatin receptor scintigraphy (SRS) with 111In- pentetreotide along with SPECT, 22 patients had a CT examination of the abdomen, which was used in the fusion analysis. SPECT and CT data were fused using software with a registration algorithm based on normalized mutual information. The criteria for acceptable fusion were established at a maximum cranial or caudal dislocation of 25 mm between the images and at a reasonable consensus (in order of less than 1 cm) between outline of the reference organs. The automatic fusion was acceptable in 13 of the 22 examinations, whereas 9 fusions were not. However all the 22 examinations were acceptable at the manual fusion. The result of automatic fusion was better when the slice thickness of 5 mm was applied at CT examination, when the number of slices was below 100 in CT data and when both examinations included uptakes of pathological lesions. Retrospective manual image fusion of SPECT and CT is a relatively inexpensive but reliable method to be used in NET imaging. Automatic image fusion with specified software of SPECT and CT acts better when the number of CT slices is reduced to the SPECT volume and when corresponding pathological lesions appear at both SPECT and CT examinations.

No MeSH data available.


Related in: MedlinePlus