Volumetric Image Registration of Multi-modality Images of CT, MRI and PET

Li, Guang; Miller, Robert W.

doi:10.5772/8911

Cited by 8 publications

(10 citation statements)

References 61 publications

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“…Despite the obvious potential advantages of PET/MR method its wider clinical penetration is mainly restricted by low worldwide availability and reimbursement issues. Ongoing imaging protocol optimization is also a key factor to maximise benefits in parallel with scanning time reduction [7,8]. The integration of high potential PET and MR modalities into a "one stop shop" examination provides unique opportunity to investigate different aspects of MM pathophysiology and collect complementary biological information [9].…”

Section: Discussionmentioning

confidence: 99%

“…The use of advanced whole body imaging techniques in plasma cell dyscrasias is supported by growing evidence and guideline inclusions [5,6]. PET/MR is a new generation hybrid multimodality imaging technique providing unique opportunity to acquire structural, functional and metabolic information simultaneously and to overcome the limitations of each components [7].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

PET/MR in Relapsed Multiple Myeloma

Tóth¹,

Lukács²,

Rajnics³

et al. 2017

J Leuk

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

PET/MR in Relapsed Multiple Myeloma

Tóth¹,

Lukács²,

Rajnics³

et al. 2017

J Leuk

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“…pacemaker cells [7][8][9]. These cells generate a rhythmical depolarization, which then spreads out over the atria to the atrio-ventricular node, the atria then contract to push the blood into the ventricles (Tarig Hakim, 2006).…”

Section: O P Y R I G H T © S O C I E T Y F O R S C I E N C E a N D mentioning

confidence: 99%

Increasing of Edges Recognition in Cardiac Scintography for Ischemic Patients

Abdallah

2015

JBEMi

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The detection of ischemia heart disease was usually scored by a trained nuclear medicine Physician by determining the ischemia location and size subjectively (by eyes). This subjective method will add to the 5% tolerance error, which might compromise the whole process of treatment especially in patients with severe conditions. The aim of this study is to increase the edge recognition in cardiac scintography images in patients with ischemic heart disease using L*a*b* color space and K-means clustering. First, we read the nuclear cardiac images. We then to convert the images form RGB color space to L*a*b* color space. Then we classify the colors in 'a*b*' space using K-means clustering. Then we label every pixel in the Image using the results from K-means. We then create images that segment the cardiac image by colour. Finally, we segment the cardiac image into a separate image. The sample of this study was (146 cases) and they showed increase enhancement. This segmentation technique (automatic scoring) and segmented images was adjudicated by three nuclear medicine physician as being comparable to other segmentation techniques created with manual editing (subjective scoring). This technique showed potentials increasing of detection of the myocardial ischemia rather than conventional one.

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“…A typical example of the use of image registration from different modalities in nuclear medicine is the combination of SPECT and CT images (SPECT/CT) or PET and CT (PET/CT). Image registration is used mainly for two reasons: i) to obtain enhanced information and details from the image for more accurate diagnosis or therapy (Li & Miller, 2010) and, ii) to compare patient's data (Zitova & Flusser, 2003). MatLab can be used in order to perform such a process.…”

Section: Image Registrationmentioning

confidence: 99%